US20020059085A1 - Computerized method and system of determining a credible real set of characteristics for an accident - Google Patents

Abstract

Methods and systems are provided for determining a credible real set of characteristics relating to an accident. In an embodiment, sets of characteristics relating to an accident may be used to determine liability in the accident. At least one real set of characteristics may be determined from witness statements. A credible set of characteristics may be determined from physical measurements of the accident. The at least one real set of characteristics may be compare to the credible set of characteristics to determine if there are inconsistencies in the at least one real set of characteristics. A credible real set of characteristics relating to the accident may be determined from the at least one real set of characteristics and the credible set of characteristics.

Description

PRIORITY CLAIM
• This application claims priority to U.S. Provisional Application No. 60/237,744 entitled “Computerized Method of Liability Assessment for a Motor Vehicle Accident,” filed Oct. 2, 2000.[0001]
BACKGROUND OF THE INVENTION
• 1. Field of the Invention[0002]
• The present invention generally relates to estimation of liability in an accident. Certain embodiments relate to computer-implemented systems and methods for estimating liability in a motor vehicle accident through analysis of characteristics of motor vehicle accidents.[0003]
• 2. Description of the Related Art[0004]
• A typical motor vehicle accident claims organization may face a number of challenges in processing claims. Some of these challenges may include assessment of liability, threat of litigation, and experience level of claims adjusters. A motor vehicle accident claims organization may add value to the liability assessment process by producing a solution that enhances the liability assessment process and increases the effectiveness of the claims adjuster .[0005]
• Assessment of liability is one important challenge facing a claims organization. It is believed that a large percentage of motor vehicle accident claims may be assessed at 100% liability against the insured when the claimant may actually share in the fault. While it may be difficult to pinpoint exact reasons for this practice among claims adjusters, several factors influencing the tendency to assess 100% liability against the insured may include, but are not limited to, ineffective negotiation, large case loads, inadequate time to effectively assess liability, and a desire to settle claims quickly to avoid litigation.[0006]
• Considering the litigious nature of claimants, and the presence of claimant counsel during negotiations, claims adjusters may need to rigorously investigate characteristics of a motor vehicle accident scene, duties of the insured, and contributing actions of the claimant before assessing liability.[0007]
• The experience level of claims adjusters may typically be low due to a lack of longevity in such a position. Over the years, a dramatic shortening of the training regimen for most new claims adjusters may reduce the effectiveness of claims adjusters. In addition, the lack of experienced claims adjusters available to advise and teach new claims adjusters worsens the situation. Furthermore, new claims adjusters may not be as knowledgeable in claims adjusting practices and the laws of their jurisdiction, as are senior claims adjusters, and consequently they may make “best guess” assessments. Therefore, a lack of trained and experienced claims adjusters may tend to produce an inadequate and/or inequitable assessment process.[0008]
• Accordingly, it may be advantageous to provide a system and method to assess fault or liability in motor vehicle accidents by relying on expert knowledge collected from experienced claims adjusters regarding the influence of multiple characteristics of a motor vehicle accident proportional to the liability of the claimant and the insured.[0009]
SUMMARY OF THE INVENTION
• An embodiment of the present invention relates to a computer-implemented method for estimating liability in an accident.[0010]
• In one embodiment, liability estimation in a vehicle accident may be based on multiple characteristics that describe the accident. Characteristics that describe either a real, a past, or a theoretical accident may include but are not limited to, roadway configuration, accident type, traffic controls at the vehicle accident scene, right of way, and impact points of each motor vehicle. The right of way may be established from real characteristics of a vehicle accident and questions about the real characteristics. At least one of the real characteristics may include: roadway configuration, accident type, right of way, or traffic control. Alternatively, a claims adjuster may specify the right of way.[0011]
• The real set of characteristics may be compared to past or theoretical characteristics to determine a set of matching characteristics. The liability for the real accident may be based on an estimate of liability associated with the matching set of past or theoretical characteristics. The estimated liability for the real accident determined in this way may be a base liability.[0012]
• The liabilities associated with the characteristics of the past or theoretical accident may be associated with an impact group in addition to other characteristics of a real accident. An impact group may include a pair of impact points for a past or theoretical accident. A pair of impact points may include an impact point for each of two vehicles involved in an accident. Each pair of impact points may be associated with two values of base liability: a lower bound of liability and an upper bound of liability. One set of values may correspond to one vehicle with the right of way, and the other set of values may correspond to the other vehicle having the right of way. Each of the pairs of impact points in a given impact group may have the same base liability and lower and upper bound of liability.[0013]
• Effects on the liability due to factors specific to the vehicle, driver, and environment may be taken into account by identifying specific factors that may be relevant to the real accident. Factors for past or theoretical accidents may be associated with estimates of a contribution to liability. An estimate of the contribution of the factors to liability in the real accident may be determined by associating the factors relevant to the real accident with the estimates of the contribution of the factors for the past or theoretical accidents.[0014]
• The contribution of the factors to the liability may also be adjusted. The adjustments may take into account sets of characteristics corresponding to the real accident and/or the preference of a claims organization. A situational weight (i.e., an adjustment related to the characteristics of a specific accident) may be based on knowledge obtained from experienced claims adjusters. Alternatively, the situational weight may be inferred from answers to a series of questions relating to the factor and accident.[0015]
• The individual factors may be adjusted by a ranking factor that accounts for the preference of the claims organization. Furthermore, the sum of the contribution of the factors to liability may be adjusted by a factor influence that may also account for the preference of a claims organization.[0016]
• The contribution of a factor may be so significant that it may be necessary to perform a further adjustment. Such a factor may adjust the liability beyond the lower and upper bounds defined for the liability. The contribution of the factor may be ignored and an absolute liability value may be assigned to be the liability estimate.[0017]
• The liability might be expressed as a range rather than a single value. The range may be created using a range radius. The range radius may be a percentage value that may be added to and subtracted from the final liability to create the range.[0018]
• A knowledge acquisition utility may be used to determine impact groups for a given set of characteristics of a past or theoretical accident. An impact group may be a collection of pairs of impact points. Each of the pairs of impact points in the impact group may have the same liability and lower and upper bounds of liability. Experienced claims adjusters may use the knowledge acquisition utility to determine the number of impact groups for each set of characteristics and the impact point pairs in each impact group.[0019]
• A claims organization may employ experienced claims adjusters to use a tuning utility to estimate characteristics and properties of past or theoretical accidents such as base liabilities and lower and upper bounds of liabilities. Characteristics and properties may be entered into a knowledge acquisition utility associated with the tuning utility. The user may then run pre-configured test scenarios, analyze the results, and refine the characteristics and properties as necessary. The procedure may be repeated until the user is satisfied.[0020]
• A computer-implemented method for estimating liability in a vehicle accident may include several steps. The user may provide to a computer system claim data regarding the vehicle accident in a graphical user interface. The user may provide to a computer system data for each vehicle involved in a vehicle accident. The user may provide data regarding characteristics of the vehicle accident. To assist the user in providing data regarding characteristics of the vehicle accident, the computer system may display graphical representations of the characteristics such as the roadway configurations, accident types, and impact points. The user may identify discords within the entered data. The user may determine a most likely set of characteristics associated with the real accident. As needed, the user may consult a legal reference system to determine legal information specific to the jurisdiction in which the accident occurred. The user may be provided with an assessment report that summarizes the estimate of liability, data used to determine the estimate, and negotiating points regarding the estimate.[0021]
• The assessment of liability in a vehicle accident may involve analysis of multiple statements of the description of an accident. In one embodiment, the consistency between different witness statements may be assessed. A graphical user interface used for estimating liability may be used to collect information from witness statements. The computer system may compare details given in each witness description. The system may present the results of the comparison in tabular form, listing for each party, its version of the detail described. Details with inconsistent versions may be noted in the tabulation of results.[0022]
• In one embodiment for analysis of witness statements, a graphical user interface for estimating liability may be combined with accident reconstruction methodology to assess the credibility of details in witness accident descriptions. Accident reconstruction software may be applied to determine details relating to speed, time, and distance of the vehicles involved in the accident. The credibility of a witness statement may be evaluated according to its consistency with the results of the accident reconstruction software.[0023]
• In one embodiment, a graphical user interface for estimating liability may be combined with a credibility assessment method to create a reliable accident description. The details relevant to the accident may be tested by a credibility assessment method such as accident reconstruction software. The most credible version of the details may then be combined into a single, reliable version of an accident description.[0024]
BRIEF DESCRIPTION OF THE DRAWINGS
• A better understanding of the present invention may be obtained when the following detailed description of preferred embodiments is considered in conjunction with the following drawings, in which:[0025]
• FIG. 1 depicts an embodiment of a network diagram of a wide area network suitable for implementing various embodiments;[0026]
• FIG. 2 depicts an embodiment of a computer system suitable for implementing various embodiments;[0027]
• FIG. 3 depicts a flowchart of an embodiment of a liability estimation process;[0028]
• FIG. 4 is a diagram representing accident types according to one embodiment;[0029]
• FIG. 5 is a diagram representing roadway configurations according to one embodiment;[0030]
• FIG. 6 is a roadway configuration/accident type matrix of applicability according to one embodiment;[0031]
• FIG. 7[0032]ais a flowchart for determining the right of way according to one embodiment;
• FIG. 7[0033]bis a group of flowcharts corresponding to the flowchart in FIG. 5aaccording to one embodiment;
• FIG. 8[0034]ais a diagram illustrating impact points on a motor vehicle according to one embodiment;
• FIG. 8[0035]bis a table of impact groups for roadway configuration/accident type combinations according to one embodiment;
• FIG. 9[0036]aincludes tables illustrating a first method of assessing the contribution of factors to the liability according to one embodiment;
• FIG. 9[0037]bincludes a table illustrating a second method of assessing the contribution of factors to the liability according to one embodiment;
• FIG. 9[0038]cincludes a table illustrating a third method of assessing the contribution of factors to the liability according to one embodiment;
• FIG. 10[0039]ais a flowchart for assessing the contribution of alcohol usage to liability in a motor vehicle accident according to a first embodiment;
• FIG. 10[0040]bis a flowchart for assessing the contribution of alcohol usage to liability in a motor vehicle accident according to a second embodiment;
• FIG. 11 is a flowchart for assessing the contribution of a construction zone to liability in a motor vehicle accident according to one embodiment;[0041]
• FIG. 12 is a flowchart for assessing the contribution of corrective lenses to liability in a motor vehicle accident according to one embodiment;[0042]
• FIG. 13 is a flowchart for assessing the contribution of defective, obscured, or missing traffic control to liability in a motor vehicle accident according to one embodiment;[0043]
• FIG. 14 is a flowchart for estimating the contribution of driver inattention to liability in a motor vehicle accident according to one embodiment;[0044]
• FIG. 15 is a flowchart for estimating the contribution of driver inexperience to liability in a motor vehicle accident according to one embodiment;[0045]
• FIG. 16 is a flowchart for estimating the contribution of taking an illicit drug to liability in a motor vehicle accident according to one embodiment;[0046]
• FIG. 17 is a flowchart for estimating the contribution of taking a medication to liability in a motor vehicle accident according to one embodiment;[0047]
• FIG. 18 is a flowchart for estimating the contribution of fatigue to liability in a motor vehicle accident according to one embodiment;[0048]
• FIG. 19 is a flowchart for estimating the contribution of faulty equipment to liability in a motor vehicle accident according to one embodiment;[0049]
• FIG. 20[0050]ais a flowchart for estimating the contribution of following too closely to liability in a motor vehicle accident according to a first embodiment;
• FIG. 20[0051]bis a flowchart for estimating the contribution of following too closely to liability in a motor vehicle accident according to a second embodiment;
• FIG. 20[0052]cis a table for estimating the contribution of following too closely to liability in a motor vehicle accident according to the embodiment illustrated in FIG. 20b;
• FIG. 21 is a flowchart for estimating the contribution of headlights being off to liability in a motor vehicle accident according to one embodiment;[0053]
• FIG. 22 is a flowchart for estimating the contribution of high beams being on to liability in a motor vehicle accident according to one embodiment;[0054]
• FIG. 23 is a flowchart for estimating the contribution of illness to liability in a motor vehicle accident according to one embodiment;[0055]
• FIG. 24[0056]ais a flowchart for estimating the contribution of an improper lane change to liability in a motor vehicle accident according to one embodiment;
• FIG. 24[0057]bis a flowchart corresponding to FIG. 24aaccording to one embodiment;
• FIG. 25 is a logic diagram for estimating the contribution of improper parking to liability in a motor vehicle accident according to one embodiment;[0058]
• FIG. 26 is a flowchart for estimating the contribution of improper signaling to liability in a motor vehicle accident according to one embodiment;[0059]
• FIG. 27 is a flowchart for estimating the contribution of an obstructed view or glare to liability in a motor vehicle accident according to one embodiment;[0060]
• FIG. 28 are flowcharts for estimating the contribution of the road condition to liability in a motor vehicle accident according to one embodiment;[0061]
• FIG. 29 are flowcharts for estimating the contribution of the road character to liability in a motor vehicle accident according to one embodiment;[0062]
• FIG. 30 are flowcharts for estimating the contribution of the road surface to liability in a motor vehicle accident according to one embodiment;[0063]
• FIG. 31[0064]ais a flowchart for estimating the contribution of speed to liability in a motor vehicle accident according to a first embodiment;
• FIG. 31[0065]bis a flowchart for estimating the maximum safe speed for given road and weather conditions according to the first embodiment;
• FIG. 31[0066]cis a table illustrating the contribution of speed to a motor vehicle accident according to the first embodiment;
• FIG. 32[0067]ais a flowchart for estimating the contribution of speed to liability in a motor vehicle accident according to a second embodiment;
• FIG. 32[0068]bis a flowchart for estimating the maximum safe speed for given road and weather conditions according to the second embodiment;
• FIG. 32[0069]cis a table illustrating the contribution of speed to a motor vehicle accident according to the second embodiment;
• FIGS. 33[0070]a,33b,33c,33d,33e, and33fare flowcharts for estimating the contribution of a sudden stop or swerving to liability in a motor vehicle accident according to one embodiment;
• FIG. 34 is a flowchart for estimating the contribution of taillights or brake lights being off when they should have been on to liability in a motor vehicle accident according to one embodiment;[0071]
• FIG. 35 is a flowchart for estimating the contribution of visibility to liability in a motor vehicle accident according to one embodiment;[0072]
• FIG. 36 is a flowchart and table for estimating the contribution of disobeyed signs or markings to liability in a motor vehicle accident according to one embodiment;[0073]
• FIG. 37 illustrates the adjustment of a liability estimate by the factor influence according to one embodiment;[0074]
• FIG. 38 is a screen shot of a window from a Knowledge Acquisition utility or tuning utility for selecting a roadway configuration/accident type combination according to one embodiment;[0075]
• FIG. 39 is a screen shot of an editing combination window from a Knowledge Acquisition utility or tuning utility according to one embodiment;[0076]
• FIG. 40 is a screen shot of a window for editing the estimate effect of a factor according to one embodiment;[0077]
• FIG. 41 is a screen shot of a Knowledge Acquisition utility or tuning utility for displaying pairs of impact points according to one embodiment;[0078]
• FIG. 42 is a screen shot of a claim Data window according to one embodiment;[0079]
• FIG. 43 is a screen shot of a Vehicle Information frame according to one embodiment;[0080]
• FIG. 44 is a screen shot of an Additional Information frame according to one embodiment;[0081]
• FIG. 45 is a screen shot of a Parties Information frame according to one embodiment;[0082]
• FIG. 46 is a screen shot of a Legal Reference window according to one embodiment;[0083]
• FIG. 47 is a screen shot of a Right of Way data frame according to one embodiment;[0084]
• FIG. 48 is a screen shot of a Traffic Controls data frame according to one embodiment;[0085]
• FIG. 49 is a screen shot of a Impact Points data frame according to one embodiment;[0086]
• FIG. 50 is a screen shot of a Discords Report frame according to one embodiment;[0087]
• FIG. 51 is a screen shot of a Factors Input frame according to one embodiment;[0088]
• FIG. 52 is a screen shot of a Conflict Identification frame according to one embodiment;[0089]
• FIG. 53 is a screen shot of a Review frame according to one embodiment;[0090]
• FIG. 54 is a screen shot of a Manual Assessment window according to one embodiment; and[0091]
• FIG. 55 is a screen shot of the Consultation Report window according to one embodiment.[0092]
• While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It should be understood, however, that the drawings and detailed description thereto are not intended to limit the invention to the particular form disclosed, but on the contrary, the intention is to cover all modifications, equivalents and alternatives falling within the spirit and scope of the present invention as defined by the appended claims.[0093]
DETAILED DESCRIPTION OF SEVERAL EMBODIMENTS
• FIG. 1 illustrates a wide area network (“WAN”) according to one embodiment.[0094]WAN102 may be a network that spans a relatively large geographical area. The Internet is an example ofWAN102.WAN102 typically includes a plurality of computer systems that may be interconnected through one or more networks. Although one particular configuration is shown in FIG. 1,WAN102 may include a variety of heterogeneous computer systems and networks that may be interconnected in a variety of ways and that may run a variety of software applications.
• One or more local area networks (“LANs”)[0095]104 may be coupled toWAN102.LAN104 may be a network that spans a relatively small area. Typically,LAN104 may be confined to a single building or group of buildings. Each node (i.e., individual computer system or device) onLAN104 may have its own CPU with which it may execute programs, and each node may also be able to access data and devices anywhere onLAN104.LAN104, thus, may allow many users to share devices (e.g., printers) and data stored on file servers.LAN104 may be characterized by a variety of types of topology (i.e., the geometric arrangement of devices on the network), of protocols (i.e., the rules and encoding specifications for sending data, and whether the network uses a peer-to-peer or client/server architecture), and of media (e.g., twisted-pair wire, coaxial cables, fiber optic cables, and/or radio waves).
• Each[0096]LAN104 may include a plurality of interconnected computer systems and optionally one or more other devices such as one ormore workstations110a, one or morepersonal computers112a, one or more laptop ornotebook computer systems114, one or moreserver computer systems116, and one ormore network printers118. As illustrated in FIG. 1, anexample LAN104 may include one of eachcomputer systems110a,112a,114, and116, and oneprinter118.LAN104 may be coupled to other computer systems and/or other devices and/orother LANs104 throughWAN102.
• One or more[0097]mainframe computer systems120 may be coupled toWAN102. As shown,mainframe120 may be coupled to a storage device orfile server124 andmainframe terminals122a,122b, and122c.Mainframe terminals122a,122b, and122cmay access data stored in the storage device orfile server124 coupled to or included inmainframe computer system120.
• [0098]WAN102 may also include computer systems connected toWAN102 individually and not throughLAN104 for purposes of example,workstation110bandpersonal computer112b. For example,WAN102 may include computer systems that may be geographically remote and connected to each other through the Internet.
• FIG. 2 illustrates an embodiment of[0099]computer system150 that may be suitable for implementing various embodiments of a system and method for assessment of liability in a motor vehicle accident by considering characteristics that describe such an accident combined with expert knowledge collected from experienced claims adjusters. Eachcomputer system150 typically includes components such asCPU152 with an associated memory medium such asfloppy disks160. The memory medium may store program instructions for computer programs. The program instructions may be executable byCPU152.Computer system150 may further include a display device such asmonitor154, an alphanumeric input device such askeyboard156, and a directional input device such asmouse158.Computer system150 may be operable to execute the computer programs to implement assessment of liability in a motor vehicle accident by considering characteristics that describe such an accident combined with expert knowledge collected from experienced claims adjusters.
• [0100]Computer system150 may include a memory medium on which computer programs according to various embodiments may be stored. The term “memory medium” is intended to include an installation medium, e.g., a CD-ROM orfloppy disks160, a computer system memory such as DRAM, SRAM, EDO RAM, Rambus RAM, etc., or a non-volatile memory such as a magnetic media, e.g., a hard drive or optical storage. The memory medium may also include other types of memory or combinations thereof. In addition, the memory medium may be located in a first computer which executes the programs or may be located in a second different computer which connects to the first computer over a network. In the latter instance, the second computer may provide the program instructions to the first computer for execution. Also,computer system150 may take various forms such as a personal computer system, mainframe computer system, workstation, network appliance, Internet appliance, personal digital assistant (“PDA”), television system or other device. In general, the term “computer system” may refer to any device having a processor that executes instructions from a memory medium.
• The memory medium may store a software program or programs operable to implement a method for assessment of liability in a motor vehicle accident by considering characteristics that describe such an accident combined with expert knowledge collected from experienced claims adjusters. The software program(s) may be implemented in various ways, including, but not limited to, procedure-based techniques, component-based techniques, and/or object-oriented techniques, among others. For example, the software programs may be implemented using ActiveX controls, C++ objects, JavaBeans, Microsoft Foundation Classes (“MFC”), browser-based applications (e.g., Java applets), traditional programs, or other technologies or methodologies, as desired. A CPU such as[0101]host CPU152 executing code and data from the memory medium may include a means for creating and executing the software program or programs according to the embodiments described herein.
• Various embodiments may also include receiving or storing instructions and/or data implemented in accordance with the foregoing description upon a carrier medium. Suitable carrier media may include storage media or memory media such as magnetic or optical media, e.g., disk or CD-ROM, as well as signals such as electrical, electromagnetic, or digital signals, may be conveyed via a communication medium such as[0102]networks102 and/or104 and/or a wireless link.
• FIG. 3 is a flowchart of an embodiment of a liability estimation process for vehicle accidents according to one embodiment. As used herein, the term “liability” generally refers to an amount for which a person or party is responsible or obligated. In an embodiment, liability in an accident may be expressed in a ratio or percentage (e.g., there is a total of 100% liability that can be attributed to persons, parties, or other factors such as weather, etc.). In another embodiment, liability may be expressed as a dollar amount.[0103]
• An embodiment may apply to accidents involving many different types of vehicles (e.g., automobiles, light trucks, heavy trucks, motor cycles, school buses, vans, commercial trucks, tractor-trailers, motor homes, recreational vehicles, commercial buses, farming related vehicles, tractors). It is anticipated that an embodiment may apply to accidents involving other types of transportation craft such as boats and airplanes. It is also anticipated that an embodiment may apply to other types of accidents such as premises liability, which may include slip, trip and fall, dog bite, food poisoning, etc.[0104]
• When two or more vehicles are involved in a motor vehicle accident, typically an estimation of liability is needed in order to settle a claim that a claimant may make against an insured. As used herein, the term “claimant” generally refers to a party involved in an accident that seeks compensation for bodily injury and/or property damage from the claims organization of an insurance carrier of another party, the insured, involved in the accident. As used herein, the term “insured” generally refers to a party involved in an accident who holds an insurance policy with a claims organization of an insurance carrier that obligates the claims organization of an insurance carrier to compensate a third party for the portion of the damages suffered by the third party that was the fault of the insured party in the accident.[0105]
• The estimation of liability may be a complicated process involving multiple characteristics. Gathering the characteristics may typically be a task completed by a claims adjuster. As used herein, the term “claims adjuster” generally refers to an individual employed by a claims organization of an insurance carrier who assesses the liability of each party involved in an accident. When the claims adjuster has collected some or all of the information available, the claims adjuster may enter the information into a computer system. Examples of data input screens that may be suitable for entering accident information into a computer are shown in FIGS.[0106]42-55.
• The claims adjuster may provide to a computer system a real set of characteristics relating to a real accident. As used herein the term “real characteristics” generally refers to characteristics that describe an accident being considered for liability assessment. The computer system may have access to a memory that contains sets of characteristics that correspond to past or theoretical accidents. As used herein, the term “past accident” generally refers to an accident that occurred in the past of which certain characteristics may be stored in a memory of a computer system. As used herein, the term “theoretical accident” generally refers to an accident that might occur. The computer system may be configured to provide an estimate of liability for each set of characteristics in the memory.[0107]
• The computer system may correlate the real set of characteristics from the real accident to the sets of characteristics in the memory to determine a set of characteristics that most closely approximates or matches the real set of characteristics. The computer system may then use the estimates of liability for the sets of characteristics in the memory to estimate liability for the real accident. It is anticipated that one or more of the sets of characteristics may be used to estimate liability.[0108]
• FIG. 3 provides an overview of an embodiment of a liability estimation process based on multiple characteristics that may describe a vehicle accident. In step[0109]301, a claims adjuster may identify a set of real characteristics relating to a real accident. A set of real characteristics may include, but are not limited to, roadway configuration, accident type, and impact points of each motor vehicle. Additionally, the real set of characteristics may include identification of traffic controls at the scene of the accident. Screen shots illustrating examples of providing each of these characteristics to a computer system may be found as follows: roadway configurations in FIG. 47, accident types in FIG. 47, traffic controls in FIG. 48, and impact points in FIG. 49.
• In[0110]step302, the right of way (“ROW”) may be established by a computer system from one or more of the real characteristics. Additionally, the computer system may ask one or more questions about the real accident to establish the ROW. At least one of the real characteristics may include a roadway configuration, an accident type, or a traffic control. FIGS. 7aand7bshow flowcharts that illustrate an embodiment of right of way determination. Alternatively, the claims adjuster may specify the ROW.
• In[0111]step303, a base liability may be estimated from a table or database of characteristics that contain sets of characteristics that correspond to past or theoretical accidents. As used herein, the term “base liability” generally refers to the portion of the liability that is independent of factors specific to condition of vehicles in the accident, condition of drivers in the accident, actions of drivers in the accident, and environmental conditions common to vehicles in the accident. A computer system may have access to a memory that contains sets of characteristics such as roadway configuration, accident type, traffic control, right of way, and impact points of the vehicles involved in the vehicle accidents that correspond to past or theoretical accidents. Each of the sets of characteristics for past or theoretical accidents may be associated with an estimate of base liability. FIGS.37 to41 are screen shots of a knowledge acquisition utility and a tuning utility that may be utilized to input base liability information into a computer system. The utilities may be used to create a database of sets of characteristics that correspond to past or theoretical accidents.
• The computer system may compare the real set of characteristics established or identified in the earlier steps (e.g., roadway configuration, accident type, traffic control, right of way, impact points) to the sets of characteristics relating to past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to past or theoretical accidents. The computer may then determine an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics among the sets of characteristics relating to past or theoretical accidents. It is anticipated that a computer system may be configured to provide an estimate of liability using at least one of the sets of characteristics that correspond to past or theoretical accidents.[0112]
• In[0113]step304, the claims adjuster may identify to the computer system one or more factors corresponding to a real accident. The factors may include characteristics specific to condition of vehicles in the accident, condition of drivers in the accident, actions of drivers in the accident, or environmental conditions common to vehicles in the accident. The computer system may have access to a memory that contains corresponding factors associated with one or more past or theoretical accidents. One or more of the factors associated with past or theoretical accidents may be associated with an estimate of the effect on liability of the factor. The computer system may compare the factors associated with the real accident to factors associated with past or theoretical accidents to determine one or more nearest matching factors. Estimates of the effect on liability of the determined nearest matching factors may be used to estimate the effect on liability of the factors associated with the real accident. FIG. 51 is a screen shot showing a graphical user interface for entering conditional factors into a computer system.
• In some embodiments, the estimate of the effect on liability of each factor may be adjustable. For example, the adjustments may be due to sets of characteristics corresponding to the real accident, the preference of a claims organization, knowledge of an experienced claims adjuster, or requirements of a jurisdiction in which the accident took place. FIGS. 10[0114]athrough36 illustrate several embodiments of estimates of the effect on liability of several factors which may be associated with theoretical accidents. It is anticipated that there are other methods than those shown in and described in reference to FIGS. 10ato36 to estimate effects on liability due to the contribution of various factors.
• In step[0115]305, any necessary adjustments to the base liability estimated instep303 due to contributions from factors estimated in304 may be made. One example of a necessary adjustment may be an Absolute Liability Value. As used herein, the term “Absolute Liability Value” (“ALV”) is generally defined as a factor that makes a significant contribution to liability such as negating the effect of other factors or characteristics associated with the accident. An ALV may also be defined as a factor that may adjust the liability beyond the lower and upper bounds defined for the liability. However, an ALV may not always shift liability to the other party. For example, an ALV might simply absolve one party of liability and explain the accident as being unavoidable. In such a situation, the contribution of various factors and characteristics may be ignored and an ALV may be assigned. For example, if a person had a sudden, unforeseen heart attack that caused an accident, the base liability might be determined to be 75 percent, but the final liability may be set via an ALV at 0 percent because the accident was probably unavoidable.
• In[0116]step306, all of the previously entered information may be taken into account and processed. Reference to expert knowledge databases, and other static information (such as jurisdictional information) may be made in calculating a range of liability. A range of liability may be more suitable than a single value in negotiations between parties regarding fault.
• FIG. 4 illustrates graphical representations of various different accident types involving motor vehicles according to one embodiment. The arrows represent the paths of motor vehicle A and motor vehicle B at or near the time of the accident. Solid lines with no arrows represent the edge of a roadway. Dashed lines represent lanes. The user may select an accident type that corresponds to the real vehicle accident as shown in the screen shot in FIG. 47. As used herein, the term “user” generally refers to a claims adjuster or another individual employed by a claims organization. Accident types graphically represented in FIG. 4 may include: (1) a rear ender, (2) a left turn crossing traffic, (3) a left turn across traffic, (4) a left turn entering traffic, (5) a right turn entering traffic, (6) dual turns to same lane, (7) concurrent left turns, (8) a U-turn, (9) a parked vehicle merging into traffic from right, (10) a parked vehicle merging into traffic from left (e.g. on a one way street), (11) a merge from the left, (12) a merge from the right, (13) concurrent merges to a single lane, (14) a collision with a parked vehicle, (15) a collision while backing, (16) a head on, and (17) a straight cross traffic collision. Additionally, in some embodiments, a right turn across traffic accident type (not shown) may be represented.[0117]
• FIG. 5 illustrates graphical representations of various different roadway configurations according to one embodiment. The user may select one of the roadway configurations that correspond to a real vehicle accident as shown in the screen shot in FIG. 47. Roadway configurations graphically represented in FIG. 5 may include: (A) a two or more lane road (including a divided road with a median that may be crossed), where the solid lines are the roadway and the space between is the median; (B) a four-way intersection with the lines representing the crossing roadways; (C) a T-angle intersection (the T-angle that may vary), where the solid lines are the roadway and where the dashed line represents the variation of the angle of the intersection; (D) a merging of one roadway into another with no turns and in one direction with the arrows showing the direction of the vehicles; (E) a curve with the lines showing the roadway; (F) a parking lot with two-way traffic where the arrows show the direction of the vehicles, the vertical lines represent the boundary of the parking lot, and the spaces between the horizontal lines represent the parking spaces; (G) a parking lot with one way traffic where the arrow shows the direction of the vehicles, the vertical lines represent the boundary of the parking lot, and the spaces between the diagonal lines represent the parking spaces; (H) a center turn lane with the bold lines representing the boundary of the roadway, the thin lines marking the boundary between the driving lanes and the center turn lane, and the arrows representing the direction of the center lane turns; (I) a two or more lane road divided by a physical barrier with the thicker center line representing the physical barrier and the thinner lines representing the outer boundaries of the roadway.[0118]
• Alternatively, the roadway configurations of the parking lots, (F) and (G), may be represented by a single diagram, (FG), shown in FIG. 5. (FG) is the same as (F), except that the parking spaces on the right of the diagram are formed by diagonal lines. In an embodiment, (FG) may be used to represent a parking lot of any configuration.[0119]
• FIG. 6 is a matrix illustrating the applicable roadway configuration/accident type combinations in liability estimation according to one embodiment. Accident types, (1) to (17) from FIG. 4, are listed on the vertical axis. Roadway configurations, (A) to (I) from FIG. 5, are listed on the horizontal axis. The alternative representation of the parking lots (F) and (G), (FG) is also included on the horizontal axis.[0120]
• Experienced claims adjusters may consider combinations labeled “N” to be implausible accident scenarios and, therefore, not significant in liability assessment of motor vehicle accidents. Thus, combinations labeled “Y” may be considered a set of theoretical accident scenarios. FIG. 38 is a screen shot of a Knowledge Acquisition Utility, which shows a matrix of roadway configuration/accident types similar to FIG. 6. In FIG. 38, the elements of the matrix labeled with a “—” indicate implausible combinations. In the embodiment of FIG. 38, the implausible combinations are a subset of the combinations labeled with an “N” in FIG. 6 because the knowledge acquisition utility allows the user to consider some implausible combinations. An example of a combination marked as implausible in both FIG. 6 and[0121]38 is D2, left turn crossing traffic on a merge with no turns in one direction. An example of a combination that may be considered implausible in FIG. 6, but may be allowed for consideration in FIG. 38 is I16, a head on collision on a 2 or more lane road divided by a physical barrier.
• FIG. 7[0122]aand7bdepict flowcharts for determining whether vehicle A or vehicle B has the right of way in traffic according to one embodiment. As used herein, the term “right of way” generally refers to the right of a vehicle to take precedence in traffic. The determination of right of way may require identification of one or more of the characteristics of the real accident (e.g., the roadway configuration, accident type, traffic control, or jurisdiction). Additionally, determining the right of way may require answering one or more questions concerning the accident. Alternatively, in some embodiments, the right of way may be specified by the user. FIG. 7bincludes flowcharts of determinations that appear in the flowchart in FIG. 7a. In FIG. 7b, the Intersection flowchart identifies the accident types that involve intersections. The Perpendicular Directions flowchart identifies the accident types that involve vehicles approaching from perpendicular directions. In Adjuster Preference, the claims adjuster may either assign the right of way to vehicle A or B, or defer to the insurance carrier's or claims organization's preference.
• As shown by[0123]decision point501 in FIG. 7a, the determination of the right of way may depend on the accident types illustrated in FIG. 4. The right of way may be determined from the accident type alone in some cases. For example, inaccident types 9 and 10, merge of a parked vehicle, the vehicle already in traffic may have the right of way. Likewise, inaccident types 11 and 12, the merge of a moving vehicle, the vehicle already in the lane may have the right of way. These determinations are shown bystep503 in which vehicle A in accident type diagrams 9, 10, 11 and 12 in FIG. 4 has the right of way. Additionally, as depicted instep505, vehicle A may be determined to have the right of way if vehicle A is parked (accident type 14) or vehicle B is backing up (accident type 15).
• For[0124]accident type 1,decision point507 shows that the right of way may depend on which vehicle was ahead in the rear-ender. If vehicle B was ahead (as depicted in FIG. 4),step511 shows that B may have the right of way. If vehicle A was ahead, step509 shows that A may have the right of way. Alternatively, if it is unknown which vehicle was ahead (e.g., due to the circumstances or severity of the accident),step513 indicates that the right of way may be undetermined. For an undetermined right of way the base liability of each vehicle may be set at 50%.
• As shown in FIG. 7[0125]a, foraccident types 2, 3, 4, 5, 6, 7, 8, 13, 16, and 17, thefirst step515 is the intersection decision point, which is determination of whether the accident occurred at an intersection. The intersection flowchart is illustrated in FIG. 7b.Decision point582 indicates that the presence of an intersection may be found from the accident type. If the accident type is 2, 3, 4, 5, 6, 7, 8, or 17,step583 indicates that there may be an intersection. If the accident type is 1, 9, 10, 11, 12, 13, 14, 15, or 16,step584 indicates an intersection may not be present. Alternately, in some embodiments, the presence of an intersection may be determined from roadway configuration information provided by the user. For example, roadway configurations A, E, F, G, I and FG may indicate that in intersection may not be present. Roadway configurations B, C, D, and H may indicate that an intersection may be present.
• FIG. 7[0126]ashows that if there is no intersection, the next step isdecision point519.Decision point519 is the determination of which vehicle left the lane it was in. As shown bysteps521 and523, the vehicle that remained in the lane it was in may have the right of way. Alternatively, if both vehicles left their lanes,step525 indicates that the right of way may be undetermined. In this case, the base liability may be assessed at 50% for each vehicle.
• FIG. 7[0127]ashows that when there is an intersection, the next step isdecision point517 which is a determination of whether there is a traffic control for either vehicle A or B. If not,decision point529 indicates that the right of way may depend on which vehicle left the lane it was in.Steps531,533, and535 are analogous tosteps521,523, and525. However, if neither vehicle left the lane it was in,step525 indicates that the vehicle that controls the intersection may have the right of way as shown byflowchart537. The vehicle that controls the intersection may be determined byflowchart537 shown in FIG. 7b.Decision point589 in FIG. 7bis the first step in determining who controls the intersection.Decision point589 asks which vehicle arrived at the intersection first. As shown bysteps590 and591, the vehicle that arrived first at an intersection may control it. If neither vehicle arrived first,decision point592 asks which vehicle is to the right.Steps593 and594 show that the vehicle to the right may control the intersection.
• As illustrated in FIG. 7[0128]a, if the answer todecision point517 is yes, thendecision point527 is next which asks the type of traffic control.Decision point539, which is reached if the traffic control is a sign, asks if the sign is obscured or down. If the sign is obscured or down, step543 shows that right of way may be determined by the adjuster. Adjuster determination is shown by the flowchart in FIG. 7b. Decision point585 in FIG. 7bis the adjuster's answer for which vehicle, A or B, has the right of way, which is shown assteps586 and587. If the adjuster does not have an answer, then the right of way may be the carrier's preference as shown bystep588.
• However, if the answer to[0129]decision point539 is no,decision point545 asks which vehicle had a non-yielding traffic control. Step547 shows that if A had the non-yielding traffic control, then B may have the right of way. Step549 shows that if B had the non-yielding traffic control, then A may have the right of way. Step551 applies if neither A nor B has the non-yielding traffic control. The right of way may be determined by the vehicle that controls the intersection, which may be determined by the flowchart shown in FIG. 7b.
• Alternatively, if the answer to[0130]decision point527 is a traffic light, then decision point541 asks if the light was out for both vehicles. If the light was out for both, then right of way may be determined by who controls the intersection, which is shown in FIG. 7b. If the answer to decision point541 is no, decision point555 asks if the light was out for only one vehicle. If the light was out for only one vehicle, then right of way may be found from adjuster determination, which is given by the flowchart in FIG. 7b. However, if the answer to decision point555 is no, decision point559 is reached. Decision point559 asks which vehicle has a non-yielding traffic control. Asstep561 shows, if A has the non-yielding traffic control and B does not, then B may have the right of way. Asstep563 shows, if B has the non-yielding traffic control and A does not, then A may have the right of way. If neither A nor B has the non-yielding traffic control, thendecision point565 is reached, which inquires whether both had a red light. If the answer todecision point565 is yes, the right of way may be undetermined, as shown instep567. In this case, the base liability may be assessed at 50% for each vehicle. If the answer todecision point565 is no, then right of way may be determined by the vehicle that controls the intersection. The vehicle that controls the intersection may be determined by the flowchart shown in FIG. 7b. If both vehicles in decision point559 have non-yielding traffic controls, thendecision point571 is reached.Decision point571 asks whether the vehicles were approaching in perpendicular directions, which may be determined from the flowchart in FIG. 7b. As shown bydecision point595 in FIG. 7b, whether the vehicles were approaching in perpendicular directions may be determined from the accident types shown in FIG. 4. Step596 shows that the answer is yes if the accident type is 3, 4, 5, or 17. Step597 shows that the answer is no if the accident type is 1, 2, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, or 16. If the vehicles were approaching in perpendicular directions, then right of way may be determined by the adjuster. Adjuster determination may be given by the flowchart in FIG. 7b. If the vehicles were not approaching in a perpendicular direction, thendecision point529 shows that the right of way again may depend on which vehicle left the lane it was in.Steps577,579, and581 are analogous tosteps521,523, and525.
• An example of a screen shot of user input of a traffic control is shown in FIG. 48. An example of a screen shot of user input of the jurisdiction is shown in FIG. 42. Jurisdiction may include each of the fifty states of the United States and territories of the United States. In another embodiment, jurisdiction may include any governmental entity with traffic laws, such as a foreign country. The vehicle that does not have the right of way may generally be referred to as the “tortfeasor” (“TF”) and the vehicle that has the right of way may generally be referred to as the “other party” (“OP”). For the case of an undetermined right of way, both parties may be considered the “other party” when determining the effect of one or more factors on the liability.[0131]
• In an embodiment, a traffic control may be considered as “yielding” or “nonyielding.” As used herein, the term “yielding traffic control” generally refers to a traffic control that informs a driver that he or she must give way (or stop) for other traffic. As used herein, the term “nonyielding traffic control” generally refers to a traffic control that informs the driver that he or she may proceed. Traffic controls may be further divided into three categories: pure, other explicit controlling devices, and markings and signs. Yielding pure traffic controls may include, but are not limited to, no traffic control present, a red light, a stop sign, a yield sign, a flashing red light, or a police officer signaling stop. Nonyielding pure traffic controls may include, but are not limited to, a yellow light, a green light, a green arrow left, a green arrow right, a flashing yellow light, or a police officer signaling proceed.[0132]
• Yielding other explicit controlling devices may include a crossing guard signaling stop, a flagger signaling stop, another person signaling stop, and a school bus loading or unloading. Nonyielding other explicit controlling devices may include a crossing guard signaling proceed, a flagger signaling proceed, or another person signaling proceed. In some embodiments, emergency vehicle may also be yielding traffic controls depending upon the jurisdiction.[0133]
• Whether a traffic control in the pure category overrides a selection in the other explicit controlling devices category may depend upon the jurisdiction. For example, whether a vehicle with a green light must yield to an approaching emergency vehicle may vary depending on the jurisdiction.[0134]
• In one embodiment, a user may only select one traffic control from each category. The user may not have to select a traffic control from more than one category. If a user does select more than one, then the user may select which category should be considered as the governing control. A secondary traffic control may be listed in a report as informational only.[0135]
• Markings and signs such as lane markings may also be traffic controls. In some embodiments, the presence of markings or signs may be noted for informational purposes. For example the presence of a disobeyed marking may be noted for use as a negotiation or talking point rather than being used to estimate liability or right of way. The markings and signs may include, but are not limited to: a one way sign or marking, a do not enter sign or marking, a no passing sign or marking, a no parking zone sign or marking, a straight only sign or marking, a left turn only sign or marking, a right turn only sign or marking, no U turn sign or marking, a no right turn on red sign, cones and/or barricades, a solid yellow line, a solid white line, or a no stopping sign or marking.[0136]
• FIG. 8[0137]ais an illustration of a graphical representation of the impact points on a vehicle according to one embodiment. FIG. 8ais a graphical representation of a vehicle that is divided into twelve sections:801-right front corner,802-right front fender,803-right middle,804-right rear quarter-panel,805-right rear corner,806-rear middle,807-left rear corner,808-left rear quarter-panel,809-left middle,810-left front fender,811-left front corner, and812-front middle. Each of the labeled sections may correspond to a possible point of impact in a motor vehicle accident.
• FIG. 8[0138]bis a table showing impact groups for combinations of roadway configuration and accident type according to one embodiment. A given roadway configuration/accident type combination may have a number of possible impact groups. As used herein, the term “impact group” generally refers to a collection of pairs of impact points for a past or theoretical accidents. A pair of impact points may include the impact point for each of two vehicles involved in an accident. In some embodiments, each pair of impact points may be associated with sets of liability estimate values. One set of values may correspond to vehicle A having the right of way and the other set of values to vehicle B having the right of way. Each set of values may include a value of base liability, a lower bound of liability, and an upper bound of liability for each vehicle. Alternately, in some embodiments, each impact group may be associated with sets of values corresponding to base liability values. It is anticipated that there may be various ways to arrange impact points in impact groups.
• For example, as shown in FIG. 8[0139]b, impact points associated with the roadway configuration/accident type combination 2B (a four-way intersection with vehicle A from top turning left and B from bottom going straight), may be grouped into four impact groups. A first impact group may include three pairs of impact points: A811B809, A811B810, and A810B808. A and B refer to motor vehicle A and motor vehicle B, respectively, and the numbers refer to points on the impact point diagram in FIG. 8a. For example, the impact point pair, A811B809, corresponds to vehicle A with an impact point on the left front fender (811) and vehicle B with an impact point on the left middle (809).
• In an embodiment, each of the pairs of impact points in a given impact group may have the same base liability and lower and upper bound of liability. The estimation of the base liability values, lower and upper bounds of liabilities, and the impact groups may be estimated by expert claims adjusters through a process called knowledge acquisition.[0140]
• In an embodiment, the base liability and the bounds of the liability for two vehicles involved in an accident may be estimated for a real accident by first specifying the roadway configuration (as shown in FIG. 5), accident type (as shown in FIG. 4), and pair of impact points (as shown in FIG. 8[0141]a) of vehicles A and B for the real accident. The vehicle that had the right of way may be determined as shown in FIGS. 7aand7b. A table, like the one shown in FIG. 8b, may be searched for the impact group corresponding to the given roadway configuration/accident type combination that contains the specified pair of impact points that correspond to a past or theoretical accident. Once the roadway configuration/accident type combination and impact group of the past or theoretical accident are known, the base liability and bounds may be extracted from a table in a database that lists the base liabilities and bounds for each impact group for all applicable roadway configuration/accident type combinations.
• FIG. 9[0142]aillustrates an embodiment of a method of estimating the effect of one or more factors on the liability. Factor adjustments may be considered for each vehicle based on data specific to condition of vehicles in the accident, condition of drivers in the accident, actions of drivers in the accident, or environmental conditions common to vehicles in the accident. Each factor may have an associated penalty value that may correspond to an amount that an experienced claims adjuster may add to the base liability when this factor is present alone. A user may identify the presence of factors in a real accident and provide a list of factors to the computer system.
• In an embodiment, factors related to the condition of vehicles in the accident may include the presence of faulty equipment. As used herein, the term “faulty equipment” generally refers to any vehicle equipment malfunction that causes an action (e.g., stuck accelerator causes unwanted acceleration), prohibits the operator from taking action (e.g., failed braking system prevents stopping), or fails to perform an action (e.g., failed brake lights do not warn other drivers of braking). In an embodiment, factors related to environmental conditions common to the vehicle may include, but are not limited to, presence of a construction zone, an obstructed view or glare, a road condition, a road character, a road surface, a defective traffic control, weather or visibility. In an embodiment, the factors related to a driver's condition may include, but are not limited to, consumption of alcohol, consumption of illicit drugs, consumption of medications, driver inattention, lack of required corrective lenses, driver inexperience, driver fatigue, or driver illness. In an embodiment, factors related to a driver's actions may include, but are not limited to, following too closely, driving with headlights off, driving at an unsafe speed, a sudden stop or swerve, driving with taillights brake lights off, unsafe backing, failure to take evasive action, driving with high beams on, an improper lane change, improper parking, or improper signaling.[0143]
• FIG. 9[0144]ais an illustration of one embodiment for estimating the effect on liability of one or more factors. The decision to apply a particular factor in a given situation may be made by an experienced claims adjuster. In alternate embodiments, the factor may be applied by a computer system based on input provided by a claims adjuster. The computer system may ask the claims adjuster one or more questions regarding the accident. Based on answers provided by the claims adjuster, the computer system may determine that one or more factors apply.
• In the embodiment depicted in FIG. 9[0145]a, the effect of a factor on the liability may be adjusted by a situational weight for each roadway configuration/accident type and vehicle. A situational weight may have four levels: N/A (factor not applicable), low, normal, and high. An experienced claims adjuster may determine an appropriate situational weight to apply. In an alternate embodiment, a computer system may be configured to determine an appropriate situational weight based on information provided by a claims adjuster. For example, in a rear-ender, a factor related to the consumption of alcohol (e.g., being drunk) may be considered more important than it is in other types of accidents. Therefore, the situational weight may be “high” for the rear vehicle. However, whether the driver of the lead vehicle has consumed alcohol may be irrelevant. Thus, a situational weight of “N/A” may be assigned to the factor. Each level of the situational weight may be assigned a percentage. For example, the situational weight may be 50 percent for low and 150 percent for high.
• In the example depicted in FIG. 9[0146]a, base liability values may have already been determined from a table of base liabilities of past or theoretical accidents, as was described in reference to FIG. 8b. For example, the insurance carrier may have determined that the base liability for the insured was 80%, with a lower bound of 50% and an upper bound of 100%. Consequently, base liability for the claimant may be 20%.
• In an embodiment, the levels of the situational weights (e.g., N/A, low, normal, and high) may be represented as percent weights (e.g., 0%, 50%, 100%, and 150%, respectively). In some embodiments, for a given factor, the penalty value, the situational weight, the percent weight, and whether or not the factor may apply may be specified by the user. If the factor applies, the adjusted penalty may be estimated by multiplying the penalty value by the percent weight associated with the determined situational weight. For example, the adjusted penalty of 22.5% for alcohol for the insured may be estimated by multiplying the penalty (e.g., 15%) by the percent weight (e.g., 150%) associated with the determined situational weight (e.g., “high”). In an embodiment, answers to questions in the flowcharts may be used to determine whether a situational weight associated with a factor is low, medium, high, or not applicable.[0147]
• In other embodiments, the penalty, and/or situational weight may not be determined directly by a user. In such an embodiment, the penalty and/or situational weight may be determined from the answers to a series of questions. The questions may be specific to one party (e.g., the tortfeasor or other party). The questions may relate to roadway configuration, accident type, and/or other characteristics of the accident. FIGS. 10[0148]ato36 are flowcharts that depict methods of determining penalties values associated with various factors. In the FIGS. 10ato36, the penalty values may be represented in certain of the flowchart terminuses as percentage values. In certain flowcharts, the penalty values may be represented by the terms “low,” “medium,” or “high.” These terms may represent variables that correspond to penalty values. For example, the “low” term may correspond to a penalty value of 10%, the “medium” term may correspond to a penalty value of 20%, and the “high” term may correspond to a penalty value of 30%. In some embodiments, the penalty values associated with each of these terms may be configurable by the claims organization. In some embodiments, all of the penalty values determined by methods such as those depicted in FIGS. 10athrough36 may be configurable by the claims organization.
• In some cases, a factor may be determined to be a talking point (“TP”). As used herein, the term “talking point” generally refers to a factor that may not affect liability and may be informational only because the liability may be inherent in the base liability for the roadway configuration/accident type combination and the right of way. In certain embodiments, a computer system may gather information related to an accident and note for the user talking points identified from the information. Talking points may be useful if two or more parties must come to a negotiated agreement regarding the assessment of liability from the accident. A factor may also be determined to be an ALV.[0149]
• In some embodiments, the situational weight for a factor may not be controlled directly by the user. In such embodiments, a factor ranking may be provided by the user to indirectly adjust the effect of a factor. For example, the user may rank factors on a scale of 0 to 5. The ranking factor may take into account the importance that a given factor has to a claims organization when it is not related to the characteristics of a particular accident. A knowledge acquisition utility may be provided via a computer system. The knowledge acquisition utility may ask the user a series of questions related to one or more factors, and determine a ranking factor from answers provided by the user. Alternately, the user may be presented directly with a list or factors and may be asked to rank each factor on a provided scale. In such embodiments, factors ranked as having a greater importance may be provided a situational weight. Such a method may be used in some embodiments to determine penalty values associated with one or more factors.[0150]
• One method of applying the factor ranking to situational weights may be to assign a weight in terms of a percentage value between 0 and 100%. A rank of 0 may correspond to 0% and a rank of 5 may correspond to 100%. Ranks between 0 and 5 may be assigned values in 20% increments. If a value is assigned to the situational weight for a given factor, the situational weight may be adjusted by the ranking factor. For example, if the system estimates that high beams have a situational weight of 10 percent, and the claims organization gave a rank of 4 to high beams, the adjusted situational weight may be 8 percent.[0151]
• As used herein, the term “penalty value” generally indicates that a portion of liability that would otherwise be assessed to a first party is not assessed to the first party. In some cases, that portion of the liability may be shifted to a second party, where the second party may be another driver involved in the accident. In other cases, the liability may be shifted to a third party, where the third party was not a driver involved in the accident. For example, the third party may be an owner of an animal that contributed to the accident.[0152]
• Adjusting the base liability based on factors may be done in a number of ways. For example, a direct shift may be used. In an embodiment, a portion of the base liability assessed to the first party may be shifted to the second party. In such a case, a penalty factor may be a percentage of the liability to shift. For example, if the first and second party would each be assessed with 50% of the liability for the accident. A penalty value of 80% for the second party means that the first party is assessed with 10% of the liability and the second party is assessed with 90% of the liability.[0153]
• In some embodiments, a debit/credit system may be used. In such embodiments, an effect on liability for a particular factor may be determined. One half of the determined penalty value may then be added to a first party, and the other half subtracted from the second party. After all of the factors may have been considered, the penalty values for each party may be summed and applied to the base liability. For example, FIGS. 9[0154]band9cdepict examples of applying a debit/credit system for assessing the effect of several factors on the liability. In the example of FIG. 9b,Factors 1 and 2 apply to the first party, having penalty values of 20% (i.e., 10%+10%) and 30% (i.e., 15%+15%), respectively. Additionally,Factor 3 applies to the second party, having a penalty value of 10%. Therefore, a total of 20% may be added to the base liability of the first party, leaving a 70% liability assessment for the first party. The second party may receive a 30% liability assessment as a result of 20% being subtracted from the base liability of the second party. In some embodiments, effects on liability adjust the base liability by multiplying the sum of the effects on liability times the base liability. For example, using the same numbers as in FIG. 9c, but multiplying the sum by the base liability the first and second parties may be assessed with 60% and 40%, respectively. In addition to the calculation demonstrated in FIGS. 9band9c, one or more situational weights may be used to adjust the penalty values associated with each factor before the penalty values are assessed to the parties.
• FIGS. 10[0155]aand10bdepict flowcharts of alternate embodiments of methods for estimating the effect on liability of an alcohol factor. In an embodiment, the alcohol factor may apply to either the tortfeasor or the other party for all accident types.
• If at[0156]decision point1001 in FIG. 10a, it is determined that alcohol was not consumed prior to the accident, then the alcohol factor may not be applicable as shown bystep1002. If alcohol was consumed prior to the accident, the next step, shown bydecision point1003, may be to determine if the alcohol usage contributed to the accident If not, then the alcohol factor may not be applicable as shown bystep1004. If it is determined that alcohol usage did contribute to the accident, information of basic facts may be gathered as shown bystep1005. Basic information may include blood alcohol content, whether or not a sobriety test was given, and whether or not the accident involved a fatality. Optional information may also be gathered, as shown by step1007, such as the type and amount of alcohol consumed, where the alcohol was served and by whom, and the weight of the user.
• If the accident involved a fatality, as determined at[0157]decision point1009 shown in FIG. 10a, “warrants further discussion” may be added to the accident report, as shown in step1011. However, whether or not there was a fatality involved in the accident, thenext decision point1013 may be to determine if the user was cited for impairment. If the user was cited for impairment, a talking point may be reached, as shown bystep1015. If the user was not cited for impairment, thenext decision point1017 may be to determine if there was any indication of impairment. If there was no indication of impairment, the alcohol factor may not be applicable as shown bystep1019. If there was any indication of impairment, the next step may be to determine what the indication was based on atdecision point1021. A blood alcohol content may indicate a level of impairment. Statements or other evidence may also provide some indication of impairment, which would be described as shown bystep1023. After it is determined what the indication of impairment was based on, a talking point may be reached as shown bystep1025.
• An alternate method of determining an effect on liability of alcohol is depicted in FIG. 10[0158]b. Atstep1051, the method may include determining if alcohol was consumed by a driver of a vehicle involved in the accident prior to the accident. If it is determined that no alcohol was consumed prior to the accident, the factor may not apply, as shown bystep1052. If alcohol was consumed by a driver of a vehicle involved in the accident,step1053 may determine whether the driver was cited for impairment. In certain embodiments, prior to step1053, the method may also include a step to determine if the alcohol consumption contributed to the accident. If it is determined that the driver was cited for impairment,step1054 may be reached and an ALV may assign 100% of the liability to the driver cited for impairment. If the driver was not cited for impairment,decision point1055 may determine if other indications of impairment were present. If no indications of impairment were present, a “high” penalty value may be assessed to the driver that had consumed alcohol, as depicted instep1056. If indications of impairment were present, the method may determine the nature of the indications of impairment atstep1057. Indications of impairment based on blood alcohol content (step1058), or statements or other evidence (step1059) may result in a penalty value of 70% of the liability to the impaired driver.
• FIG. 11 is a flowchart illustrating a method for estimating the effect on liability of a factor that accounts for the presence of a construction zone on a motor vehicle accident according to one embodiment. The construction zone factor may be applied to a tortfeasor and/or other party for any accident type.[0159]
• If a motor vehicle accident occurred in a construction zone where a third party, other than the driver(s) or vehicle(s) involved in the accident may be involved, as determined at[0160]decision point1101 in FIG. 11, then a talking point may be reached atstep1103. If the accident did not occur in a construction zone, then the factor may not be applicable in estimating liability, as shown bystep1105.
• FIG. 12 is a flowchart for estimating the effect on liability of a factor that accounts for corrective lenses in a motor vehicle accident according to one embodiment. The corrective lenses factor may be applied to a tortfeasor and/or other party for any accident type.[0161]
• If it is determined at[0162]decision point1201 in FIG. 12 that a driver involved in a motor vehicle accident did not require corrective lenses, then the factor may not be applicable as shown bystep1203. If corrective lenses were required, thenext decision point1205 may be to determine whether they were worn at the time of the accident. If the corrective lenses were worn at the time of the accident, the factor may not be applicable in estimating liability, as shown bystep1207. If required corrective lenses were not worn by the driver at the time of the accident, a talking point may be reached as shown bystep1209.
• FIG. 13 is a flowchart for estimating the effect on liability of a factor that accounts for a defective, obscured, or missing traffic control on a motor vehicle accident according to one embodiment. The traffic control may be missing or completely obscured. A defective light may be one that may not be lit for either party (e.g., not lit for TF or not lit for OP). The traffic control factor may be applied to a tortfeasor and/or other party for[0163]accident types 2, 3, 4, 5, 6, 7, 8, 16, and 17.
• If at[0164]decision point1301 shown in FIG. 13, the accident type was determined to be 1, 9, 10, 11, 12, 13, 14, or 15, then the traffic control factor may not be applicable to estimating liability, as shown bystep1303. Foraccident types 2, 3, 4, 5, 6, 7, 8, 16, and 17, a decision point shown bystep1305 may be reached to determine if an obscured, defective, or missing traffic control contributed to the accident. If an obscured, defective, or missing traffic control did not contribute to the accident, then the factor may not applicable for estimating liability, as shown instep1309.
• If it is determined that an obscured, defective, or missing traffic control contributed to the accident, then[0165]decision point1307 may be reached to determine if a driver was familiar with the accident location. If the answer is yes, then a talking point may be reached as shown bystep1311. If the answer is no, thenext decision point1313 may be whether or not the intersection appeared to be an uncontrolled intersection. If not, a “medium” penalty value may be assessed to the party in question, as shown instep1317. If the intersection appeared to be a controlled intersection, an ALV of 10% may be assessed to the party in question.
• FIG. 14 is a flowchart for estimating the effect on liability of a factor that accounts for the contribution of driver inattention to a motor vehicle accident according to one embodiment. The driver inattention factor may be applied to a tortfeasor and/or other party for any accident type.[0166]
• As shown by decision point[0167]1401 in FIG. 14, if the driver failed to maintain a proper lookout (e.g., not looking at the road ahead), then a “low” penalty value may be assessed against the driver, as shown instep1405. If the driver maintained a proper lookout, thestep1403 may be reached.Step1403 may determine if the driver was distracted prior to the accident (e.g., by a conversation, a cell phone, shaving, etc.). If the driver was distracted, then a “low” penalty value may be assessed to the driver atstep1406. If the driver was not distracted then, asstep1404 indicates, the factor may be not applicable for the driver.
• FIG. 15 is a flowchart for estimating the effect on liability of a factor that accounts for the contribution of driver inexperience to a motor vehicle accident according to one embodiment. The driver inexperience factor may be applied to a tortfeasor and/or other party for any accident type.[0168]
• As shown by[0169]decision point1501 in FIG. 15, the duration of time the driver has been legally driving may be a determining factor. If the driver has been driving for two years or less, then the factor may be a talking point as shown bystep1503. If the driver has been driving for more than two years, then the driver inexperience factor may not be applicable as shown bystep1505. In some embodiments,decision point1501 may be directed to how long a driver has been legally driving a particular class of vehicle that was involved in the accident. For example, if the driver was driving a motorcycle at the time of the accident,decision point1501 may determine how long the driver has been legally driving motorcycles.
• FIG. 16 is a flowchart for estimating the effect of a factor that accounts for the contribution of taking an illicit drug to a motor vehicle accident according to one embodiment. The illicit drug factor may be applied to a tortfeasor and/or other party for any accident type. As used herein, the term “illicit drug” generally refers to an illegal, or unlawfully used drug. For example, an unlawfully used drug may include a prescription drug taken in a fashion other than the prescribed manner or a prescription drug taken by a person to whom it has not been prescribed.[0170]
• [0171]Decision point1601 in FIG. 16 may determine if an illicit drug was consumed prior to the accident. If no illicit drug was taken before the accident, the illicit drug factor may be not applicable, as shown instep1603. If an illicit drug was taken prior to the accident, a “low” penalty value may be assessed to the party that took the illicit drug, as shown instep1605.
• In other embodiments, factors accounting for the consumption of illicit drugs and the consumption of alcohol may be treated simultaneously through an alcohol factor flow chart as depicted in FIGS. 10[0172]aand10b.
• FIG. 17 is a flowchart for estimating the effect of a factor that accounts for the contribution of an affirmative action of taking a medication to a motor vehicle accident according to one embodiment. The medication factor may be applied to a tortfeasor and/or other party for any accident type. In an embodiment, the medication factor may not include failing to take required medicine since the illness factor may take this into account. As used herein, the term “medication” generally refers to either a prescription drug, or an over-the-counter drug. Additionally, in some embodiments, a medication may include any legal chemical substance that may be consumed by an individual for medical reasons (e.g., herbs, or other nontraditional medications).[0173]
• At[0174]decision point1701 in FIG. 17, it is determined whether a medication was taken prior to the accident. If not, as shown bystep1703, then the medication factor may not be applicable. If a medication was taken prior to the accident, then thenext decision point1705 may determine if the medication had an affect on the ability to drive. If not, then the factor may not be applicable, as shown bystep1707.
• If the medication affected the ability to drive, it may then be determined if the party was aware of this effect, as shown by decision point[0175]1709. If the party was aware of the effect of the medication on the ability to drive, then a “low” penalty value may be assessed for the medication factor, as shown bystep1711. If the party was not aware of the effect of the medication on the ability to drive, thendecision point1713 may ask if the medication had appropriate warnings and labels. If there were not proper warnings or labels on the medication, then the factor may be a talking point as shown bystep1715. In some embodiments, if there were not proper warnings or labels on the medication,step1715 may indicate that a portion of the liability may be attributed to a third-party (e.g., the medication vendor, or manufacturer). If the medication was properly labeled, then a “low” penalty value may be assessed to the party as shown bystep1717.
• FIG. 18 is a flowchart for estimating the effect of a factor that accounts for the contribution of fatigue to a motor vehicle accident according to one embodiment. The fatigue factor may be applied to a tortfeasor and/or other party for any accident type.[0176]
• At[0177]decision point1801 in FIG. 18, the number of hours the party had been driving may be determined. If the driver had been driving for more then 6 hours, then the factor may be a talking point as shown bystep1803. If the driver had been driving for 6 hours or less, thendecision point1805 asks how long the driver had been awake, but not driving. If the driver was awake but not driving for more than 12 hours, then the factor may be a talking point as shown bystep1807. If the driver was awake for 12 hours or less prior to driving, then the number of hours the driver last slept may be determined atdecision point1809. If the driver slept less than 6 hours, the factor may be a talking point, as shown bystep1811. If the driver slept 6 hours or more, then the fatigue factor may not be applicable, as shown bystep1813.
• FIG. 19 is a flowchart for estimating the effect of a factor that accounts for the contribution of faulty equipment to a motor vehicle accident according to one embodiment. As used herein, the term “faulty equipment” generally refers to any vehicle equipment malfunction that causes an action, prohibits the operator from taking action, or fails to perform an action. In an embodiment, the faulty equipment factor may not apply to headlights, taillights, or brake lights that do not function as other factors may be provided that account for these potential equipment failures. The faulty equipment factor may be applied to a tortfeasor and/or other party for any accident type.[0178]
• [0179]Decision point1901 may ask whether defective equipment contributed to the accident, as depicted in FIG. 19. If defective equipment did not contribute to the accident, then the faulty equipment factor may not be applicable, as shown instep1903. If defective equipment contributed to the accident, the next step may bedecision point1905, which may determine the party that faulty equipment affected. If the faulty equipment affected the other party, as shown instep1907, then a talking point may be reached. If the faulty equipment affected the tortfeasor, the next step may bedecision point1909, which may determine the age of the vehicle.
• If the vehicle was one year old or greater, then the vehicle may not be considered new. If the vehicle was less than one year old, then the[0180]next decision point1911 may ask the mileage on the vehicle. If the vehicle mileage was less than 10,000 miles at the time of the accident, the vehicle may be considered new. If the vehicle mileage was 10,000 miles or greater at the time of the accident, the vehicle may not be considered new.
• In some embodiments, if the vehicle was new, then step[0181]1913 may be a talking point. Alternately, in some embodiments,step1913 may indicate that the faulty equipment may be attributed to a third party. The third party may include the person or entity from which the vehicle was purchased or serviced. If the vehicle was not considered new bysteps1909 or1911, the next step may bedecision point1915 that may ask whether the defective part was serviced within the last month. If service was performed on the defective part within the last month, a talking point may be reached, as shown bystep1917. In some embodiments,step1917 may be an ALV of 0% for the driver of the vehicle with the defective part. In some embodiments, at least a portion of the liability for the accident may be attributed to a third party atstep1917. For example, the third party may be an individual or entity that last serviced the defective part. The third party may also include the manufacturer of the defective part. If the defective part was not serviced within the last month,decision point1919 may ask if there was any indication or history of the problem. Whether or not there was an indication or history of the problem, the faulty equipment factor may reach a talking point as shown bysteps1921 and1923.Steps1921 and1923 may be indicated differently in an assessment report as discussed with reference to FIG. 55. In alternate embodiments, if there was no indication or history of the problem atstep1919, another decision point may be reached. The decision point may be to determine whether or not unwanted acceleration occurred. If not, then a talking point may be reached and noted in the assessment report. However, if an unwanted acceleration did occur, the driver of the affected vehicle may be assessed an ALV of 0% liability. Additionally, a portion of the liability may be assessed to a third party. For example, the third party may include a manufacturer or seller of the vehicle or the defective part.
• FIG. 20[0182]ais a flowchart for estimating the effect of a factor that accounts for the contribution of following too closely to a motor vehicle accident according to a first embodiment. As used herein, the term “following too closely” generally refers to an action by the driver of a rear vehicle in which the driver of the rear vehicle fails to remain a safe distance from a vehicle in front of them before the accident, thus contributing to the accident. In some embodiments, the following too closely factor may be applied only to the tortfeasor and may only be applied foraccident type 1.
• As shown by[0183]decision point2001 in FIG. 20a, if the accident type was nottype 1 or the tortfeasor was not behind or following the other party, then the factor may not be applicable as shown bystep2003. If the accident type wastype 1 and the tortfeasor was following the other party, then the next step2005 may be to gather information regarding the accident. The information may include the number of car lengths between the other party and the tortfeasor before the accident, and the speed that the tortfeasor was traveling. Additionally, as shown by step2007, information may be gathered from any witnesses who may verify the number of car lengths that were between the other party and the tortfeasor.
• The[0184]next decision point2009 may ask for the speed of the tortfeasor. The speed of the tortfeasor may be used to determine a recommended safe following distance the tortfeasor should have been traveling behind the other party in steps2011 or2013. For example, if the tortfeasor was traveling less than 45 mph, then the recommended safe following distance in car lengths may be determined by: speed/10, as shown by step2011. If the tortfeasor was traveling 45 mph or greater, the recommended safe following distance may be: 1.5*(speed/10), as shown by step2013. From this determination, thedecision point2015 may ask whether the actual number of car lengths was less than the recommended safe following distance. If the actual car lengths were less than the recommended safe following distance, then the factor may be a talking point as shown bystep2017. If the actual car lengths between the tortfeasor and other party were not less than the recommended safe following distance, then the following too closely factor may not be applicable, as shown bystep2019.
• FIG. 20[0185]bis a flowchart for estimating the effect of a factor that accounts for the contribution of following too closely to a motor vehicle accident according to a second embodiment. As shown bydecision point2025 in FIG. 20b, if the accident type was not type I or the tortfeasor was not behind or following the other party, then the factor may not be applicable as shown bystep2027. If the accident type wastype 1 and the tortfeasor was following the other party, then thenext step2029 may be to determine if the actual following distance was less than a recommended safe following distance according to the table in FIG. 20c.
• FIG. 20[0186]cdepicts a table for determining a recommended safe following distance. If the driver of the rear vehicle was traveling at less than or equal to 45 mile per hour (mph), then row2050 may be used to determine the recommended safe following distance. If the driver of the rear vehicle was traveling at greater than 45 mph, then row2052 may be used to determine the recommended safe following distance.Column2054 may determine a surface of the road.
• At speeds of less than or equal to 45 mph and with a gravel road surface the recommended safe following distance may be at least 20% of the speed in car lengths (e.g., speed*0.2=number of car lengths). Thus, at 40 mph, the recommended safe travel. distance may be[0187]8 car lengths (i.e., 40*0.2=8 car lengths). At speeds of greater than 45 mph and with a gravel road surface the recommended safe following distance may be at least 30% of the speed in car lengths.
• For non-gravel road surfaces, a condition of the road surface may be considered in[0188]column2056. The condition of the road surface may include, but is not limited to, dry, wet, or muddy. In addition, the condition of the road surface may consider whether the road is covered with snow or ice, has patches of snow or ice, or has plowed snow or ice. In various embodiments, other road conditions may also be considered. For example, a road condition that may be prevalent in a particular region may be considered, such as having ruts. Once the road condition has been determined, a recommended safe following distance may be determined based on a percentage of the speed as specified incolumn2058. It is envisioned that the specific percentage of speed specified by various combinations of speed, road surface, and road condition may be varied according to the preference of the insurance carrier, or regional or jurisdictional preferences.
• FIG. 21 is a flowchart for estimating the effect of a factor that accounts for the contribution of driving with headlights off to a motor vehicle accident according to one embodiment. In some embodiments, the headlights off factor may not apply to[0189]accident types 1, and 14. The factor may be applied to a tortfeasor and/or other party.
• In FIG. 21,[0190]decision point2101 asks for the accident type. Foraccident types 1, and 14, the factor may not be applicable as shown bystep2105. Additionally, in some embodiments, the factor may not apply foraccident types 15 and 17. For the remaining accident types, the next step may bedecision point2103 in which visibility at the time of the accident may be determined. The visibility factor is illustrated in FIG. 35. If visibility was good, then the driving with headlights off factor may not be applicable as shown bystep2109. Otherwise, if visibility was poor,decision point2111 may determine if the party was driving with the vehicle's headlights on. If it is determined that the party had the headlights on, then the factor may not be applicable, as shown bystep2119. If the vehicle's headlights were off at the time of the accident, thendecision point2121 may be reached.Decision point2121 asks whether the location of the accident was relatively dark, for example, without streetlights at the time. If it was dark without streetlights, the party may have a “high” penalty value assessed, as shown bystep2123. If it was not dark and/or streetlights were on, then the other party may have a “medium” penalty value assessed, as shown bystep2125.
• In some embodiments, the method of determining the effect on liability of driving with headlights off may determine different penalty values depending on the party being considered. For example, if it is determined that the tortfeasor was driving with headlights off, a talking point may be reached. If it is determined that the other party was driving with headlights off, then penalty values as described above may be assessed to the other party.[0191]
• In some embodiments, the method of determining the effect on liability of driving with headlights off may determine if both headlights were off or if only one headlight was off. If only one headlight was on, the method may determine if the one headlight would have provided adequate lighting for the driver of the vehicle to drive safely. If it is determined that the one headlight may not have provided adequate lighting, the method may proceed to step[0192]2121 to determine a penalty value to assess. The method may also consider whether the one headlight would have made the vehicle visible to the driver of the other vehicle (e.g., was the one working headlight visible to the driver of the other vehicle). If it is determined that the one headlight may not have made the vehicle visible to the driver of the other vehicle, the method may proceed to step2121 to determine a penalty value to assess.
• FIG. 22 is a flowchart for estimating the effect of a factor that accounts for the contribution of driving with high beams on to a motor vehicle accident according to one embodiment. The high beams factor may be applied to a tortfeasor and/or the other party. In some embodiments, the factor may only be applied for[0193]accident type 16. In such embodiments, the factor may not be applied for the roadway configuration/accident type combination F16. The high beams factor may be related to glare that causes a driver to be blinded.
• In FIG. 22, decision point[0194]2201 andstep2205 indicate the factor may only be applicable foraccident type 16, not including roadway configuration F. If the answer to decision point2201 is yes, thendecision point2203 may ask whether high beams were on at the time of the accident. If not, then the factor may not be applicable, as shown bystep2209. If the high beams were on, the lighting may be determined atstep2207. If the lighting was dark, with or without streetlights, then liability may depend upon which party is being considered, as shown bydecision point2211. If the lighting was other than dark, with or without streetlights (e.g., daylight, dawn, or dusk) then the factor may not be applicable, as shown bystep2213. If the party is the tortfeasor, thendecision point2215 may ask whether the other party was blinded. If the other party was blinded, then the factor may be a talking point, as shown bystep2219. If the other party was not blinded, then the factor may not be applicable, as shown bystep2217. In other embodiments, a “medium” penalty value may be assessed to the tortfeasor if the other party was blinded, and a “low” penalty value may be assessed if the other party was not blinded.
• If the party is the other party, then[0195]decision point2221 may ask if the tortfeasor was blinded. If not, then the factor may not be applicable, as shown bystep2223. If the tortfeasor was blinded, the factor may apply a “medium” penalty value, as shown instep2227. In alternate embodiments, if the tortfeasor was blinded, then another decision point may be reached that may depend on the roadway configuration. If the roadway configuration was E, then a “medium” penalty value may be assessed. If the roadway configuration was A, B, or H, then a “low” penalty value may be assessed. If the roadway configuration was other than A, B, E, or H, than the factor may not be applicable.
• FIG. 23 is a flowchart for estimating the effect of a factor that accounts for the contribution of illness to a motor vehicle accident according to one embodiment. As used herein, the term “illness” generally refers to a physical condition that prohibits the safe operation of a vehicle. The illness factor may be applied to a tortfeasor only for any accident type.[0196]
• If the party is determined to be the other party at[0197]decision point2301 in FIG. 23, then the factor may not be applicable, as shown bystep2303. For the tortfeasor, the next step isdecision point2305, which may ask whether the illness contributed to the accident. If not, then the factor may not be applicable as shown bystep2307. If illness of the tortfeasor contributed to the accident, thendecision point2309 may ask if the tortfeasor had a history of the illness. If not, then an ALV of 0% liability may be assessed to the tortfeasor. If the tortfeasor had a history of illness, thendecision point2311 may ask if the tortfeasor was medically cleared to drive. If the tortfeasor was not cleared to drive, then the illness factor may not be applicable as shown bystep2317. If the tortfeasor was cleared to drive without medication, then an ALV of 0% liability may be assessed to the tortfeasor, as shown bystep2315. If the tortfeasor was medically cleared to drive with medication, thendecision point2319 may be reached, which may ask if the required medication had been taken. If the required medication had been taken, then an ALV of 0% liability may be assessed to the tortfeasor, as shown bystep2321. If the required medication had not been taken, then2323 indicates that a talking point may be reached.
• FIGS. 24[0198]aand24bare flowcharts for estimating the effect of a factor that accounts for the contribution of an improper lane change to a motor vehicle accident according to one embodiment. An improper lane change may be a lane change that was completed before the accident and contributed to the accident. The improper lane change factor may be applied to the tortfeasor and/or other party only foraccident type 1. In an embodiment, the factor may determine the effect on liability of an improper lane change based on car lengths between the vehicles before the accident and a subjective determination of the magnitude of deceleration of the parties. It is believed that an improper lane change may reduce the opportunity of the tortfeasor to avoid the accident and/or may reduce the tortfeasor's available stopping distance. For example, if other party and the tortfeasor are slowing and other party pulls in between the tortfeasor and whatever the other party and the tortfeasor are stopping for, the tortfeasor's available stopping distance may be reduced.
• In FIG. 24[0199]a,decision point2401 may ask whether the accident type wastype 1, and whether the other party and right of way have been determined. If any of these conditions is not true, the factor may not be applicable, as shown instep2403. If the accident type is 1, and the other party and right of way have been determined, then thenext step2404 may ask if the other party changed lanes prior to the accident. If the other party did not change lanes, then step2406 indicates that the factor may not be applicable. If the other party changed lanes before the accident, thenext step2405 may be to determine effective car lengths between the other party and the tortfeasor. The term “effective car lengths,” as used herein, generally refers to the actual car lengths between the parties minus an adjustment.
• The determination of the[0200]effective car lengths2405 is shown in FIG. 24b.Decision point2433 may ask if the other party's lane change was a sudden lane change. If it was, thendecision point2435 may ask if the other party signaled the lane change. If the other party signaled, then the effective car lengths may be the actual car lengths minus one, as shown instep2439. If the other party did not signal, then the effective car lengths may be the actual car lengths minus two, as shown bystep2440. If the answer todecision point2433 is no, thedecision point2437 may ask if the other party signaled the lane change. If the other party did signal the lane change, then the effective car lengths may be the actual car lengths, as shown instep2441. If the other party did not signal, then the effective car lengths may be the actual car lengths minus one, as shown bystep2442.
• Turning again to FIG. 24[0201]a, if the effective car lengths are less than 1, thendecision point2409 may ask if the tortfeasor was slowing down when the lane change took place. If the tortfeasor was not slowing down, then a penalty value of 75% of liability may be assessed to the other party, as shown bystep2418. Alternately, in an embodiment, if the tortfeasor was not slowing down, then the liability may be determined by an experienced claims adjuster. If the tortfeasor was slowing down in either a slight or an extreme manner, then a penalty value of 100% of liability may be assessed to the other party atstep2417 or2419. In some embodiments, an ALV of 100% liability may be assessed atsteps2417 and2419 rather than a penalty value.
• If the effective car lengths are about 1 or about 2, then[0202]decision point2411 again may ask if the tortfeasor was slowing down. If the tortfeasor was not slowing down, then a penalty value of 75% of liability may be assessed to the other party, as shown bystep2422. Alternately, in an embodiment, if the tortfeasor was not slowing down, then the liability may be determined by an experienced claims adjuster. If the tortfeasor was slowing down in either a slight or an extreme manner, then a penalty value of 100% of liability may be assessed to the other party atstep2423 or2425. In some embodiments, an ALV of 100% liability may be assessed atsteps2423 and2425 rather than a penalty value.
• If the effective car lengths are about 3 or about 4, then[0203]decision point2413 may ask if the other party was slowing down. If the other party was either not slowing down or slightly slowing, then no penalty value may be assessed to either party, as shown bysteps2427 and2429. If the other party was slowing down in an extreme manner at the time of the lane change, then a penalty value of 50% of liability may be assigned to the other party, as shown bysteps2431.
• If the effective car lengths are greater than about 4, then no penalty value may be assessed to either party, as shown by[0204]steps2407.
• In other embodiments, the actual speed and/or distance between the vehicles before the accident or at the time of the lane change may be determined. An analysis like the one described above may then be used to determine the effect on liability of the lane change based on the actual speed and/or distance between the vehicles.[0205]
• FIG. 25 is a flowchart for estimating the effect of a factor that accounts for the contribution of an improperly parked vehicle to a motor vehicle accident according to one embodiment. The improperly parked vehicle factor may be applied only to the other party and only for[0206]accident type 14. In an embodiment, a parked vehicle may be considered legally parked, illegally parked, or disabled.
• In FIG. 25, decision point[0207]2501 andstep2503 indicate that the factor may not be applicable to accident types other thantype 14. If the accident type is 14, thendecision point2505 may ask whether the vehicle was legally parked. If the vehicle was legally parked, then the factor may not be applicable, as shown bystep2507. If the vehicle was not legally parked, thendecision point2509 may ask if the vehicle was disabled. If the vehicle was not disabled and was not legally parked, then a penalty value may be estimated by an experienced claims adjuster, as shown by step2513. If the vehicle was disabled and was not legally parked, thendecision point2511 may ask where the vehicle was parked. If the vehicle was outside a travel lane, then regardless of whether the vehicle had its flashers on, the factor may not be applicable, as shown bydecision point2517 andsteps2519 and2521.
• If the vehicle was parked in a travel lane, then[0208]decision point2515 may ask why it was there. If the vehicle ran out of gas, thendecision point2523 asks if the vehicle had its flashers on. A penalty value may be determined by experienced claims adjusters in steps2525 and2527 for either a yes or no answer. If the vehicle was abandoned or there was no apparent reason why the vehicle was in the travel lane, thendecision point2531 may ask if the vehicle had its flashers on. A penalty value may be determined by an experienced claims adjuster insteps2533 and2535 for either a yes or no answer. If the vehicle was in the travel lane due to a breakdown or accident, then decision point2529 may ask if the other party had knowledge of the defect, which may have caused the breakdown or accident. If yes, thendecision point2537 asks how long the vehicle had been parked at the location of the accident. If the vehicle was there for less than or equal to one hour, thendecision point2541 asks if the vehicle had its flashers on. A penalty value may be determined by experienced claims adjusters insteps2545 or2547 for either a yes or no answer. If the vehicle was sitting in the travel lane for more than one hour, thendecision point2541 asks if the vehicle had its flashers on. A penalty value may be determined by experienced claims adjusters insteps2549 or2551 for either a yes or no answer.
• If the other party did not have knowledge of the defect at decision point[0209]2529, thendecision point2539 may ask how long the vehicle had been parked at the location of the accident. If the vehicle was there for less than or equal to one hour, thendecision point2553 asks if the vehicle had its flashers on. A penalty value may be determined by experienced claims adjusters insteps2557 or2559 for either a yes or no answer. If the vehicle was sitting in the travel lane for more than one hour, thendecision point2555 may ask if the vehicle had its flashers on. A penalty value may be determined by experienced claims adjusters insteps2561 or2563 for either a yes or no answer, respectively.
• In other embodiments, a parked vehicle may be assumed to always have the right of way. Thus, no improperly parked vehicle factor may be used.[0210]
• FIG. 26 is a flowchart for estimating the effect of a factor that accounts for the contribution of improper signaling to a motor vehicle accident according to one embodiment. As used herein, the term “improper signaling” generally refers to signaling one action and doing another or not signaling at all. In certain embodiments, an improper signal may refer only to signaling one action and doing another (i.e., not to “no signal”). In such embodiments, an improper turn and lack of signal may not be part of the improper signaling factor. “No signal” and improper turn and lack of signal may already be taken into account by the roadway configuration/accident type combination.[0211]
• As shown in FIG. 26, if it is determined at[0212]decision point2601 that the accident type is 1, 14, or 15, then the factor may not be applicable, as shown instep2603. For all other accident types,decision point2605 may ask if a party signaled improperly. If the answer todecision point2605 is no, then the factor may not be applicable, as shown bystep2609. If the answer is yes, then a “low” penalty value may be assessed against the party that signaled improperly, as shown instep2607. In some embodiments, an additional decision point may followdecision point2605 if a party did signal improperly. The additional decision point may determine which party signaled improperly. In such embodiments, if it is the other party that improperly signaled then a low penalty value may be assessed against the other party. If the tortfeasor improperly signaled, then a talking point may be reached.
• FIG. 27 is a flowchart for estimating the effect of a factor that accounts for the contribution of an obstructed view or glare to a motor vehicle accident according to one embodiment. The obstructed view or glare factor may be applied to the tortfeasor and/or other party for any accident type. If an obstructed view or glare affected a party's view of other vehicles or a traffic sign, the factor may be a talking point.[0213]
• In FIG. 27, decision point[0214]2701 may ask if a driver's view of another vehicle or a traffic control was obscured.Step2703 indicates that if the answer is no, then the factor may not be applicable. In some embodiments, if the answer to decision point2701 is yes, then another decision point may ask if the obstructed view or glare contributed to the accident. If not, then the factor may not be applicable. If it is determined that the obstructed view or glare contributed to the accident, the decision point may lead todecision point2707.Decision point2707 may ask whether it was a glare obscured the driver's view. If it was a glare, then the factor may be a talking point, as shown bystep2711. In some embodiment, if the answer todecision point2707 is no, then there may be a request to provide a description of the obstruction for use in an assessment report. Instep2715, the obstructed view may be a talking point.
• FIG. 28 is a flowchart for estimating the effect of a factor that accounts for the contribution of road condition to a motor vehicle accident according to one embodiment. The road condition factor may be applied to the tortfeasor and/or other party for any accident type. As shown in FIG. 28, the road condition at[0215]decision point2801 may be either dry or in some other condition. If the road condition is dry, then step2803 may indicate that the factor may not be applicable. Other conditions may include, but are not limited to, a roadway that is wet, has snow and/or ice, is muddy, has plowed snow, has been salted, or has snow and/or ice patches. If other conditions apply to the roadway, then step2805 may indicate that the factor may be a talking point.
• FIG. 29 is a flowchart for estimating the effect of a factor that accounts for the contribution of road character to a motor vehicle accident according to one embodiment. The road character factor may be applied to the tortfeasor and/or other party for any accident type. As shown in FIG. 29, the road character at[0216]decision point2901 may be either level or some other character. If the road character is level, then step2903 indicates that the factor may not be applicable. Other road characters may include, but are not limited to, a roadway that has a hill, a hillcrest, or a sag-bottom of a hill. If other road characters apply to the roadway, then step2905 may indicate that the factor may be a talking point.
• FIG. 30 is a flowchart for estimating the effect of a factor that accounts for the contribution of road surface to a motor vehicle accident according to one embodiment. The road surface factor may be applied to the tortfeasor and/or other party for any accident type. As shown in FIG. 30, the road surface at[0217]decision point3001 may be either concrete/asphalt or some other surface. If the road surface is concrete/asphalt, then step3003 may indicate that the factor may not applicable. Other road surfaces may include, but are not limited to brick, dirt, or gravel. If other surfaces apply to the roadway, then step3005 indicates that the factor may be a talking point.
• FIGS. 31[0218]a-bmay be used in combination with FIG. 31cfor estimating the effect of a factor that accounts for the contribution of speed to a motor vehicle accident according to a first embodiment. In some embodiments, the speed factor may not apply toaccident type 14. The speed factor may be applied to either or both parties depending on the circumstances of the accident.
• In FIG. 31[0219]a,step3101 in estimating the speed factor may be to determine the maximum safe speed. In some embodiments,step3101 may be directed to determining the maximum legal speed. Determination of the maximum safe speed is illustrated by the flowcharts in FIG. 31b. As shown in FIG. 31b, the maximum safe speed may be determined by reducing the legal speed limit to account for adverse road conditions and/or weather conditions. If the road condition is dry and the weather clear, the maximum safe speed may be the legal speed limit. However, if the road condition is not dry and/or the weather is not clear, then the maximum safe speed may be less than the speed limit.Decision point3141 in FIG. 31bmay inquire as to the road condition at the accident scene.Steps3143,3145,3147,3149, and3151 may provide the corrections when road conditions are dry (e.g., 0), wet (e.g., 0.1×legal speed limit), snow (e.g., 0.2×legal speed limit), muddy (e.g., 0.2×legal speed limit), and ice (e.g., 0.3×legal speed limit), respectively. Similarly,decision point3153 in FIG. 31bmay inquire as to the weather at the accident scene.Steps3155,3157,3159, and3161 may provide the corrections when the weather is clear (e.g., 0), smoke, etc. (e.g., 0.1×legal speed limit), snowing (e.g., 0.2×legal speed limit), and fog (e.g., 0.2×legal speed limit), respectively. For example, if the speed limit is 60 miles per hour, the road condition is wet, and the weather is snowing the safe speed may be: 60−(0.1×60)−(0.2×60)=60−6−12=42 miles per hour.
• [0220]Step3105 in FIG. 31ashows that if the answer todecision point3103 isaccident type 14, the factor may not be applicable. For any other accident type,decision point3107 may ask which party is under consideration. If the party is the tortfeasor, thendecision point3111 may ask if the party was going faster than the maximum safe speed calculated instep3101. If the answer is yes, then step3113 may refer to the table in FIG. 31cto calculate the effect on the liability. If the party was not going faster than the maximum safe speed, then the factor may not be applicable, as shown instep3115.
• If the party being considered at[0221]decision point3107 is the other party, thendecision point3109 may ask if the accident type is 1. If the accident type is not 1, thendecision point3119 may ask if the other party was going faster than the maximum safe speed calculated instep3101. If the answer is yes, then step3121 may refer to the table in FIG. 31cto calculate the effect on the liability. If the party was not going faster than the maximum safe speed, then step3123 may indicate that the factor may not be applicable.
• If the accident type is 1 at[0222]decision point3109,decision point3117 may ask if the other party was stopped at a yielding traffic control. If the answer is yes, then step3125 indicates that the factor may not be applicable. If the answer is no, thendecision point3127 may ask if the other party was traveling at less than a minimum legal speed for the roadway. If not, then step3132 indicates that the factor may not be applicable. If the party was traveling at less than the minimum legal speed, but not considerably slower, thendecision point3131 may ask if the vehicle's flashers were on.Step3137 indicates that the factor may not be applicable if the vehicle's flashers were on. If the flashers were not on,step3139 indicates that a “low” penalty value may be assessed against the other party. If the other party was traveling considerably slower than the minimum legal speed, thendecision point3129 may ask if the vehicle's flashers were on.Step3133 indicates that the factor may not be applicable if the flashers were on. If the flashers were not on,step3135 indicates that a “medium” penalty value may be assessed against the other party. In certain embodiments, other considerations may be used in determining the effect on liability of the other party traveling at less than the minimum legal speed. For example, in certain jurisdictions, various methods may be allowed to indicate a slow moving vehicle. For example, a sign or placard may be displayed on a vehicle or the vehicle may have a flashing yellow light. In such embodiments, the use of any approved method to provide warning to other traffic that the vehicle is moving slowly may result in the factor being not applicable.
• FIG. 31[0223]cis a table illustrating the estimation of the effect of a factor that accounts for the contribution of speed to a motor vehicle accident according to the first embodiment. The first column of FIG. 31cmay be related to the maximum safe speed calculated as shown in FIG. 31b. The second column of FIG. 31cmay include an actual speed for the vehicle. The third column may include following distances subjectively estimated by an experienced claims adjuster for several ranges of the actual speed of a following vehicle. A following distance less than that specified for a given actual speed range may be considered close while a following distance greater than that specified may be considered far. The fourth and fifth columns may provide exemplary penalty values or ALVs to be assessed to a party under consideration.
• For example, if the determined maximum safe speed is 50 miles per hour, a vehicle with an actual speed of 65 miles per hour following at a distance of 175 feet may have a penalty value assessed of 10% according to FIG. 31[0224]c. For the same maximum safe speed, a vehicle with an actual speed of 85 miles per hour may have an absolute liability value of 70% assessed.
• FIGS. 32[0225]a-cmay be used for estimating the effect of a factor that accounts for the contribution of speed to a motor vehicle accident according to a second embodiment. In some embodiments, the speed factor may not apply toaccident type 14, as shown instep3205 of FIG. 32b.
• Referring to FIG. 32[0226]a, a maximum safe speed may be estimated. The maximum safe speed may be estimated as a percentage of the maximum legal speed (i.e., speed limit) for the location. To estimate the percentage of the speed limit corresponding to the maximum safe speed, a road condition may be selected from the first column of the table. Each road condition may be associated with a percentage that may be used to estimate the maximum safe speed for the location. Thus, for example, a vehicle traveling on a dry road having a speed limit of 65 mph may be estimated as having a maximum safe speed of 65 mph. However, if the road is wet, the vehicle may be estimated to have a maximum safe speed of about 59 mph.
• In some embodiments, after the safe speed from the table is determined an additional adjustment may be made to the estimate of the maximum safe speed based on the weather. For example, in some embodiments, if the weather is raining, sleeting or hailing the safe speed from the table in FIG. 32[0227]amay be reduced by 10%. If the weather is snowing, the safe speed determined from the table in FIG. 32amay be reduced by 20%. If the weather is foggy, smoky or smoggy the safe speed determined from the table in FIG. 32amay be reduced by 30%.
• FIG. 32[0228]bdepicts a flowchart for determining the effect of speed on liability in a vehicle accident.Step3205 shows that if the answer todecision point3203 isaccident type 14, the factor may not be applicable. For any other accident type,decision point3207 may ask which party is under consideration. If the party is the tortfeasor, thendecision point3211 may ask if the tortfeasor was going faster than the estimated maximum safe speed. If the answer is yes, then step3213 may refer to the table in FIG. 32cto calculate the effect on the liability. If the tortfeasor was not going faster than the maximum safe speed, then the factor may not be applicable, as shown instep3215.
• If the party being considered at[0229]decision point3207 is the other party, thendecision point3209 may ask if the accident type is 1. If the accident type is not 1, thendecision point3219 may ask if the other party was going faster than the estimated maximum safe speed. If the answer is yes, then step3221 may refer to the table in FIG. 32cto calculate the effect on the liability. If the party was not going faster than the maximum safe speed, then step3223 indicates that the factor may not be applicable.
• However, if the accident type is 1 at[0230]decision point3209,decision point3217 may ask if the other party was stopped at a yielding traffic control. If the answer is yes, then step3225 indicates that the factor may not be applicable. If the answer is no, thendecision point3227 may ask if the other party was traveling at less than a minimum legal speed for the roadway. In some embodiments,decision point3227 may ask if the other party was traveling at less than a prevailing speed on the roadway. If the other party was not traveling at less than the minimum legal speed, then step3232 indicates that the factor may not be applicable. If the other party was traveling at less than the minimum legal speed, but not considerably slower, thendecision point3231 may ask if the vehicle's flashers were on.Step3237 indicates that the factor may not be applicable if the vehicle's flashers were on. If the flashers were not on,step3239 indicates that a “low” penalty value may be assessed against the other party. If the other party was traveling considerably slower than the minimum legal speed, thendecision point3229 may ask if the vehicle's flashers were on.Step3233 indicates that the factor may not be applicable if the vehicle's flashers were on. If the flashers were not on,step3235 indicates that a “high” penalty value may be assessed against the other party. In certain embodiments, other considerations may be used in determining the effect on liability of the other party traveling at less than the minimum legal speed as discussed with reference to FIGS. 31aand31b.
• FIG. 32[0231]cmay be used to estimate an effect on liability of the contribution of speed to a vehicle accident. The table of FIG. 32cmay be used in the same manner described for FIG. 31cabove.
• FIG. 33[0232]ais a flowchart for estimating the effect of a factor that accounts for the contribution of a sudden stop or swerve to a motor vehicle accident according to one embodiment. As used herein, the term “sudden stop or swerve” generally refers to a rapid deceleration or change of direction. A sudden stop or swerve may typically be taken to avoid another object such as, but not limited to, an animal, pedestrian, road defect, another vehicle or road debris. FIGS. 33b-fare flowcharts associated with FIG. 33athat estimate the effect on liability of a sudden stop or swerve. A sudden stop or swerve factor may be applied to the tortfeasor foraccident types 11, 12, 13, and 16 or to the other party foraccident type 1.
• In FIG. 33[0233]a,decision point3301 andstep3302 indicate that the factor may not be applicable to combinations other than to the tortfeasor foraccident types 11, 12, 13, or 16 and to the other party foraccident type 1. If the party and accident type under consideration are one of these combinations, then decision point3303 asks whether there was a sudden stop or swerve in the accident. If there was not, then the factor may not be applicable, as shown bystep3304. If there was a sudden stop or swerve then the reason for the sudden stop or swerve may be solicited atdecision point3305. The reason may include a road defect, debris, a pedestrian, another vehicle, or an animal. In addition, FIG. 33aalso considers the case of a sudden stop or swerve for no apparent reason.
• In FIG. 33[0234]a, if the reason is a road defect the flowchart may refer to aroad defect flowchart3380 as depicted in FIG. 33b. Thefirst decision point3306 inroad defect flowchart3380 may asks if the party should have seen the road defect sooner than the party did. If yes, then a “medium” penalty value may be assessed to the party under consideration as shown bydecision point3307. If the answer todecision point3306 is no, thendecision point3308 may be reached where it is determined whether the party was familiar with the area of the accident and/or the defect. If the party was familiar with the area of the accident and/or the defect, then a “medium” penalty value may be assessed to the party, as shown bystep3309. If the party was not familiar with the area of the accident and/or the defect atdecision point3308, thendecision point3312 may ask if the sudden stop or swerve was reasonable. If the answer is yes, then an ALV of 0% liability may be assessed to the party atstep3313. In addition, it may be noted in an assessment report that a third party (e.g., a party responsible to maintain the road or a party that cased the defect) may have contributed to the accident, and may thus bear a portion of the liability. If atdecision point3312, it is determined that the action was not reasonable, then a “medium” penalty value may be assessed to the party atstep3314.
• In FIG. 33[0235]a, if the reason for the sudden stop or swerve atdecision point3305 is debris, then the flowchart may refer to adebris flowchart3381 as depicted in FIG. 33c.Decision point3315 ofdebris flowchart3381 may ask whether the party should have seen the debris sooner than the party did. If not, thendecision point3322 may be reached, which may ask if the sudden stop or swerve was reasonable. If the answer todecision point3315 is yes, then decision point3316 may determine whether the debris was dangerous. If the debris was dangerous, thendecision point3322 may ask if the sudden stop or swerve was reasonable. If the debris was not dangerous, thendecision point3319 may ask if the debris was moving. If the debris was not moving, then a “medium” penalty value may be assessed against the party. If the debris was moving, thendecision point3320 may inquire whether the debris was coming towards the party. If not, then a talking point may be reached instep3323. If yes, thendecision point3322 may ask if the sudden stop or swerve was reasonable. Atdecision point3322, if it is determined that the action was reasonable, then an ALV of 0% may be assessed against the party atstep3317. In addition, it may be noted in an assessment report that a third party (e.g., a party responsible for the debris) may have contributed to the accident, and may thus bear a portion of the liability. If atdecision point3322, it is determined that the action was not reasonable then a “medium” penalty value may be assessed to the party atstep3318.
• In FIG. 33[0236]a, if the reason for the sudden stop or swerve atdecision point3305 is a pedestrian or other vehicle, then the flowchart may refer to a pedestrian or3rd vehicle flowchart3382 as depicted in FIG. 33d. It may be determined atdecision point3326 whether the sudden stop and swerve was reasonable. If it was reasonable, then an ALV of 0% may be assessed to the party under consideration, as shown bystep3328. If the sudden stop and swerve atdecision point3326 is not reasonable, then a “medium” penalty value may be assessed to the party as shown bystep3329.
• In FIG. 33[0237]a, if there is no apparent reason for the sudden stop or swerve atdecision point3305, then the flowchart may refer to a noapparent reason flowchart3383 as depicted in FIG. 33e. If the action was a swerve, then the factor may not be applicable, as shown bystep3332. Alternately, in some embodiments, a “medium” penalty value may be assessed if the action was a swerve. If the action was a sudden stop,decision point3333 may ask if the accident occurred on city streets. If yes, a “medium” penalty value may be assessed to the party as shown bystep3334. If not, a “high” penalty value may be assessed to the party as shown bystep3335.
• In FIG. 33[0238]a, if the reason for the sudden stop or swerve atdecision point3305 is an animal, then the flowchart may refer to ananimal flowchart3384 as depicted in FIG. 33f. It may be determined at decision point3336 if the party should have seen the animal sooner. If not, thendecision point3338 may be reached which may ask if the sudden stop or swerve was reasonable. If the answer to decision point3336 is yes, then decision point3337 may ask if the situation was dangerous. If it is determined that the situation may have been dangerous, then a talking point may be reached atstep3340. If the situation was not dangerous, thendecision point3339 may ask if the animal was moving. If the animal was not moving, thendecision point3347 may ask if the animal was domestic as shown bydecision point3347. If the animal was domestic, then a “medium” penalty value may be assessed against the party. Additionally, it may be noted in an assessment report that a third party (e.g., the animal's owner) may bear a portion of the liability. If the animal was not domestic, then a “medium” penalty value may be assessed against the party.
• If the animal was moving, in answer to[0239]decision point3339,decision point3341 may ask if the animal was coming towards the party. If the animal was not, then a talking point may be reached, as shown bystep3344. If the animal was coming towards the party, thendecision point3345 may determine if the animal was domestic. If the animal was not domestic,decision point3343 may determine if the action was reasonable. If it is determined that the action was reasonable then an ALV of 0% may be assessed against the party atstep3352. If atdecision point3343, it is determined that the action was not reasonable then a “medium” penalty value may be assessed to the party atstep3354. If atdecision point3345 it is determined that the animal was domestic,decision point3338 may determine if the sudden stop or swerve was reasonable. If it is determined that the action was reasonable, an ALV of 0% may be assessed against the party atstep3356. In. addition, it may be noted in an assessment report that a third party (e.g., the animal's owner) may have contributed to the accident, and may thus bear a portion of the liability. If atdecision point3338, it is determined that the action was not reasonable then a “medium” penalty value may be assessed to the party atstep3358.
• FIG. 34 is a flowchart for estimating the effect of a factor that accounts for the contribution of all taillights or brake lights being off when they should have been on to a motor vehicle accident according to one embodiment. The factor may apply to accidents where all taillights or brake lights on a vehicle were off when they should have been on and contributed to the accident.[0240]
• In FIG. 34,[0241]decision point3401 andstep3403 indicate that the factor may not be applicable for combinations other than to the tortfeasor foraccident types 9 or 10 and to the other party foraccident type 1. In each case, the visibility should be known. The next step for one of those combinations isdecision point3405, which may ask if the party was braking when the accident occurred. If the party was not braking, thendecision point3409 may ask the visibility at the accident scene. Determination of the visibility is discussed with regard to FIG. 35.Step3419 indicates that the factor may not be applicable if the visibility is good. If the visibility is poor, thendecision point3421 may ask if the tail lights were on. In an embodiment, tail lights may be considered to be on if at least one tail light is on.Step3433 indicates that the factor may not be applicable if the tail lights were on.
• However, if tail lights were not on,[0242]decision point3435 may ask whether it was dark without street lights. If the answer is yes todecision point3435, a “medium” penalty value may be assessed against the party with the tail lights off atstep3445.Step3447 indicates that if the answer todecision point3435 is no, then a “low” penalty value may be assessed against the party with the tail lights off.
• If the answer to[0243]decision point3405 is yes, thendecision point3407 may ask whether brake lights were on. In an embodiment, brake lights may be considered on if at least one brake light was on. In other embodiments, brake lights may be considered to be on if two or more brake lights were on.Step3411 indicates that the factor may not be applicable if brake lights were on. If brake lights were not on,decision point3413 inquires into the visibility at the accident scene. If visibility was good, then a “low” penalty value may be assessed to the party with brake lights off, as shown bystep3415. If the visibility was poor, thendecision point3417 may ask if the tail lights were on. If the tail lights were on, then, according tostep3429, a “low” penalty value may be assessed to the party with the brake lights off. However, if the tail lights were not on thendecision point3431 may be reached. Thesteps3438 and3440 are identical tosteps3445 and3447 previously described.
• FIG. 35 is a flowchart for estimating the effect of a factor that accounts for the contribution of visibility to a motor vehicle accident according to one embodiment. The visibility factor may be applied to the tortfeasor and/or other party for any accident type. As used herein, the term “visibility” is generally defined as a combination of the weather and the lighting that adversely affects ability to see other vehicles, traffic controls, etc. In some embodiments, visibility may not be an adjusting or talking point factor in and of itself. I may be mentioned as a comment to the accident. Visibility may be an input to other factors. In some embodiments, weather may be a separate flowchart that may be used as an input to other factors. Lighting may include, but is not limited to, day, dawn, dusk, night with street lights, and night without lights. Weather may include, but is not limited to, clear, cloudy, raining, sleet/hail/freezing rain, snow, fog/smoke/smog/dust, and fog with rain.[0244]
• FIG. 35 is a flowchart that estimates the effect of visibility on the liability. The first step in FIG. 35 is[0245]decision point3501 that may ask the lighting conditions at the accident scene. If the lighting was daytime, thendecision point3503 may determine the weather conditions. If the weather is clear/cloudy as shown bystep3517, then the factor may not be applicable. Alternatively, if the weather is “all others” (i.e., other than clear or cloudy) as shown bystep3519, the visibility may be a talking point. As input into another flowchart, steps3519 and3513 may be considered poor visibility andsteps3517 and3511 may be considered good visibility.
• Similarly, the adverse weather may be determined at[0246]decision point3505 if the answer todecision point3501 is “other.” If the answer todecision point3505 is “clear/cloudy,” then visibility may be a talking point in reference to lighting as shown bystep3511. If the answer todecision point3505 is “all other,” then visibility may be a talking point in reference to weather and lighting as shown bystep3513.
• FIG. 36 depicts an embodiment of a flowchart and table for noting in art assessment report the effect of disobeyed signs or markings. In FIG. 36,[0247]decision point3601 may determine if one or more signs or markings were disobeyed. If atdecision point3601, it is determined that no signs or markings were disobeyed, the factor may not be applicable as shown atstep3605. If signs or markings were disobeyed, the method may refer to table3607 atstep3603.
• Table[0248]3607 may provide a list of potential signs and markings that may have been disobeyed incolumn3609. If a sign or marking was disobeyed, a note may be added to an assessment report indicating the sign or marking disobeyed and whether a citation resulted. If no citation was issued, then a note fromviolation column3613 corresponding to the sign or marking disobeyed may be added to the assessment report. If a citation was issued then a note fromcitation column3615 corresponding to the sign or marking disobeyed may be added to the assessment report as discussed with reference to FIG. 55.
• FIG. 37 is an illustration of how a factor influence may be used to adjust the effect of factors on the liability according to one embodiment. The factor influence may determine the effect the sum of the effects on liability resulting from factors may have on the base liability. As shown in FIG. 37, the factor influence may have four levels: none (no adjustment), normal, low, and high. A “high” factor influence may allow factors to modify the liability significantly. A “low” factor influence may reduce the influence of the factors below that determined by the “normal” factor influence. Each factor influence level may have a percentage value associated with it, for example, normal=100%, low=50%, and high=150%. Therefore, a “low” factor influence may cut in half the summation of all factor adjustments. In some embodiments, regardless of the factor influence setting, the lower and upper bounds of the liability may still constrain the final liability range.[0249]
• Once a method is used to estimate the effect of the factors on the base liability, liability values (L[0250]_Aand L_B) for each vehicle may be calculated by combining the contribution for each vehicle with its corresponding base liability. Since the sum of the calculated liabilities may be greater than 100%, it may be necessary to calculate normalized liabilities from adjusted liabilities: L_AN=L_A/(L_AN+L_A) and L_BN=100%−L_AN. If L_ANis greater than the upper bound, the final liability may be set equal to the upper bound. If L_ANis less than the lower bound of the liability, the final liability may be set equal to the lower bound.
• Alternatively, the effect of the factors on liability may be combined with the base liability according to a debit-credit method. A portion of the effect to liability of one vehicle may be added to that party's liability and the remainder may be subtracted from the other party's liability. For example, one half may be added to one party's liability and one half subtracted from the other party's liability.[0251]
• In an embodiment, the liability may be expressed as a range rather than a single value. The range may be generated by a range radius. As used herein, the term “range radius” generally refers to a percentage value that may be added and subtracted from the final liability to create the range: L[0252]_AN±range radius. The range radius may be adjustable by the user and may be applied to all claims. In one embodiment, a user may specify a range snap-to value. As used herein, the term “range snap-to” value generally refers to a multiple to round up or down to for the range. For example, the calculated liability may be 82±5%. If the range snap-to value is 5 percent, the liability may be adjusted to 80±5%.
• The liability range may be adjusted if any part of it falls outside of the upper and lower bounds of liability. In one embodiment, the liability range may be shifted. If the maximum of the liability range is greater than the upper bound of liability, the maximum of the liability range may be shifted to the upper bound of liability. The minimum of the range may be shifted to the lower bound of liability if the liability range is larger than the upper bound to lower bound range. If the liability range is less than the upper bound to lower bound range, the minimum of the liability range may be shifted to the upper bound minus twice the range radius.[0253]
• Similarly, if the minimum of the liability range is less than the lower bound of liability, the minimum of the liability range may be shifted to the lower bound of liability. The maximum of the range may be shifted to the upper bound of liability if the liability range is larger than the upper bound to lower bound range. If the liability range is less than the upper bound to lower bound range, the maximum of the liability range may be shifted to the lower bound plus the twice the range radius.[0254]
• Alternatively, rather than shifting, the liability range may be truncated to keep as much of the original liability range as possible. If the maximum of the liability range is greater than the upper bound, the maximum of the range may be the upper bound of liability. If the minimum of the range is less than the upper bound, the minimum of the range may be the lower bound of liability.[0255]
• In one embodiment, a knowledge acquisition utility may be provided to a user to allow the user to configure information associated with impact groups for roadway configuration/accident type combinations. For example, sets of impact groups associated with each roadway configuration and accident type may be configured. Further, each impact group may have one or more estimates of base liability associated with it. For example, each impact group in a roadway configuration and accident type combination may have a base liability, an upper range of liability, and a lower range of liability for each party associated with it. FIG. 38 is a screen shot of a window that may be used for selecting a roadway configuration/accident type combination according to one embodiment. As shown and discussed in reference to FIG. 8[0256]b, a given roadway configuration/accident combination may be associated with a plurality of impact groups where an impact group may be a collection of pairs of impact points. Impact points may be defined by the impact point diagram in FIG. 8a. Each of the pairs of impact points in the impact group may have the same base liability and lower and upper bounds of liability. A claims organization may designate a user such as an experienced claims adjusters to use the knowledge acquisition utility to determine the number of impact groups for each roadway configuration/accident type combination and the impact point pairs in each impact group.
• A claims organization may further employ a user (e.g., an experienced claims adjusters) to assign base liabilities and lower and upper bounds of liability to each of the impact groups derived with the aid of the knowledge acquisition utility. As used herein, the term “knowledge acquisition utility” generally refers to an application that allows a claims organization to configure a system for estimating liability in an accident to meet the claims organizations needs. For example, the knowledge acquisition utility may allow the claims organization to set base liability, lower bound of liability and upper bound of liability for each impact group. The knowledge acquisition utility may also allow the claims organization to configure a numerical value associated with penalty factors. For example, a claims organization may use the knowledge acquisition utility to set a “low” penalty value equal to a 10% adjustment in liability. Likewise, a “medium” penalty value may be set at 20% and a “high” penalty value set at 30%. In various embodiments, other determinants of liability may also be configurable by the claims organization using the knowledge acquisition utility, including, but not limited to, situational weights associated with various factors, range radii, range snap-tos, etc.[0257]
• In an embodiment, a knowledge acquisition utility may be used in conjunction with a tuning utility. A tuning utility may include a knowledge acquisition utility. In an embodiment of a tuning utility, the user may select a roadway configuration and accident type combination to edit from a window as described with reference FIGS. 38 and 39. The user may input base liabilities, lower, and upper bounds of liability for each of the impact groups corresponding to the roadway configuration/accident type combination. After the base liabilities are input, the user may run one or more pre-configured test scenarios built into the tuning utility. The user may then analyze the results and refine the base liabilities. The procedure may be repeated until the user is satisfied with the results produced by the liability estimation system. This process of entering estimates of liability or effect on liability, then testing those estimates by use or one or more pre-configured test scenarios is referred to herein as “tuning.” The user may enter base liability information for all other roadway configuration and accident type combinations, run test scenarios, analyze output, refine tuning parameters, and repeat until satisfied. Likewise, the user may enter factor tuning information, as described with reference to FIG. 40, test each factor individually until satisfied, test combinations of factors, and adjust tuning parameters as necessary.[0258]
• The window depicted in FIG. 38 contains a[0259]matrix3800 of roadway configurations, R, and accident types, A. Diagrams representing roadway configurations are illustrated in FIG. 5. Diagrams representing accident types are illustrated in FIG. 4.
• The elements of the matrix labeled with a “—” are combinations which may not be considered because the particular roadway configuration and accident type combination may be considered implausible. In the embodiment depicted, the implausible combinations are a subset of the combinations labeled with an “N” in FIG. 6. In some embodiments, all roadway configuration and accident type combinations may be available to the claims organization. In such embodiments, the claims organization may utilize the knowledge acquisition utility to designate one or more combinations implausible.[0260]
• To configure a particular roadway configuration and accident type combination, a user may select the desired values of A and R from[0261]menus3801 and3803, respectively. Selecting Edit push-button3805 may open an edit combination window (as depicted in FIG. 39), which may allow the user to edit impact groups for a given roadway configuration and accident type combination. Once a combination has been selected and configured, an indicator adjacent tocombination3807 may indicate that the combination has been configured. For example, a checkbox may be associated with each combination. In such embodiment, an “X” may appear in the check box to designate that a combination has been configured.
• FIG. 39 is a screen shot of[0262]edit combination window3925 from a knowledge acquisition utility according to one embodiment. The window may display a graphic representation of selectedroadway configuration3927 andaccident type3929. For example, in FIG. 39 the accident type shown istype 2, as shown in FIG. 4, and the roadway configuration is B, as shown in FIG. 5. A graphic representation of impact point diagram3931 (as shown in FIG. 8a) may also be displayed. The window may display a text description of the accident type androadway configuration combination3933. For example, as depicted in FIG. 39, the text description may be, “Left Turn Crossing Traffic on a Four Way Intersection.” The user may also be provided with free-formtext entry area3935 to provide comments directed to the combination. For example, a claims organization may desire a particular comment to be displayed to a user entering claims information containing the combination.
• [0263]Edit combination window3925 may also include a plurality of impactgroup text areas3937 configured to display impact groups and associated impact pairs. Associated with each impact group text area may be impactgroup edit area3939. Impactgroup edit area3939 may allow the user to enter one or more impact pairs to be associated with the impact group.
• Also associated with each impact[0264]group text area3937 may be liabilityinput text area3940. Liabilityinput text area3940 may includebase liability field3942,minimum liability field3941, andmaximum liability field3943 associated with an accident where vehicle A has the right of way andbase liability field3945,minimum liability field3944, andmaximum liability field3946 associated with an accident where vehicle B has the right of way. In an embodiment, liabilityinput text area3940 may allow the user to input estimates of liability for only one vehicle in the accident. For example, the liability input text area may be related to the liability of vehicle A only. In alternate embodiments, liabilityinput text area3940 may allow the user to input liability estimates for each vehicle. In either embodiment, liabilityinput text area3940 may display an estimate associated with a second vehicle. The liability estimate for the second vehicle may be determined from the liability estimates provided for the first vehicle on the assumption that liability must total to 100% between the two vehicles.
• In an embodiment, the user may edit factors associated with the roadway configuration and accident type combination by selecting[0265]Factor button3947 inediting combination window3925. SelectingFactor button3947 may bring up situational weight configuration window3950, as depicted in FIG. 40.
• FIG. 40 is a screen shot of situational[0266]weight configuration window4001 according to one embodiment. Situationalweight configuration window4001 may be used to configure situational weights associated with one or more factors for a given. roadway configuration and accident type combination. The situational weights may be used to adjust the magnitude of the effect of the factors on liability, as described with reference to FIG. 9a.
• Situational[0267]weight configuration window4001 may include a number of columns. First vehicle column4003 (e.g., column “A”) may include rows of data associated with a first vehicle (e.g., vehicle “A”). Second vehicle column4007 (e.g., column “B”) may include rows of data associated with a second vehicle (e.g., vehicle “B”).Factors column4005 may include rows containing text descriptions of various factors. A user may select a situational weighting associated with each vehicle for each factor listed infactors column4005. For example, inrow4009, the user has selected a “low” situational weight for vehicle A and a “high” situational weight for vehicle B for the speed factor.
• In some embodiments, characteristics other than base liabilities, and factors may be adjusted by a knowledge acquisition utility. These characteristics include, but are not limited to, factor rankings, penalty values, range radii, range snap-tos, and absolute liability values. Alternatively, penalty values may not be tunable since they may be estimated by a method as illustrated in the flowcharts in FIGS. 10[0268]ato36.
• FIG. 41 is a screen shot of impact[0269]point display window4100 of a knowledge acquisition utility for displaying impact point pairs for a roadway configuration and accident type combination according to one embodiment. Impactpoint display window4100 may provide a mechanism for displaying to the user of a knowledge acquisition utility what impact point combinations make up the impact group that is being considered by the user. Impactpoint display window4100 along with the roadway configuration and accident type combination may provide a context within which to make decisions about base liability.
• Impact[0270]point display window4100 displays two vehicles with labeled impact points that belong to a given impact group. When the user selects an impact point on a first vehicle, the selected impact point and corresponding impact points on a second vehicle may be highlighted. The selected impact point on the first vehicle and the highlighted impact points on the second vehicle are pairs of impact points in the impact group. For example, in impactpoint display window4100, impact point (801) on the vehicle on the left is selected resulting in impact points (807), (808), and (809) being highlighted on the vehicle on the right. Therefore, (801,807), (801,808), and (801,809) are pairs of impact points.
• FIG. 42 illustrates a screen shot of[0271]claim Data window4200.claim data window4200 may be divided into a number of frames.Control frame4201 may provide access to basic controls for the application. For example standard pull down menus may provide access to file, edit, tool and help menus as are commonly used. Additionally, controlsframe4201 may include a number of frame selection buttons (e.g.,buttons4203,4205,4207,4209,4211, and4213). Each frame selection button may cause adata display frame4250 to display different data. For example, selecting “ROW”frame selection button4205 may cause data regarding right of way in a vehicle accident to be displayed.claim data window4200 may also includeclaim data frame4225.claim data frame4225 may include basic claim data associated. In some embodiments,claim data frame4225 may continuously display the basic claim data whiledata display frame4250 allows other data related to the accident to be entered.Accessories frame4275 may allow the user to select a number of tools that may be useful to the user as claim data is being entered.Legal reference button4277 may allow the user to access information related to the laws of a jurisdiction in which the accident took place.Calculator button4279 may allow the user to access a calculator feature.Comments button4281 may allow the user to access a free-form text entry area in which comments may be entered. Show detailsbutton4283 may allow the user to access a summary report screen that displays details related to the accident.
• [0272]Claim data frame4225 may contain data entry fields including, but not limited to, a claim number, a policy number, an accident location, who reported the accident, whether police where called, what branch of the police was called, whether there were any injuries, whether there were fatalities, what state the accident took place, the date of the accident, what time the accident took place, a policy start date, a policy end date, who the accident was reported to, and a description of the loss due to the accident. In an embodiment, a system may access a claims organization's database to retrieve information related to a policy or an insured party based on a policy number. For example, the policy start and end dates may be automatically entered by the system based on information in the claims organization's database.
• [0273]Vehicles frame4300, as depicted in FIG. 43, depicts a frame for entering data related to the vehicles involved in the accident according to one embodiment.Vehicles frame4300 may appear indata display frame4250 if the user selects “Basic”frame selection button4203 and vehicleinformation frame tab4303. Other options available to the user when “Basic”frame selection button4203 is selected may include partyinformation frame tab4301 and additionalinformation frame tab4305. The user may enter the number of vehicles involved in the accident innumber field4307. The user may enter the types of each vehicle in type fields4309. In an embodiment, the number of type fields provided may correspond to the number of vehicles entered intovehicles field4307. In some embodiments, twotype fields4309 may be provided by default. In such embodiments, a first type field may correspond to the insured party's vehicle type, and a second type field may correspond to the claimant party's vehicle type. In such embodiments, additional type fields may be provided if more than two vehicles were involved in the accident. Vehicle types may include, but are not limited to, an automobile, a light truck, and another type.
• FIG. 44 is a screen shot of[0274]additional information screen4400.Additional information screen4400 may be displayed whenAdditional Information tab4305 is selected.Additional information screen4400 may allow the user to enter a description of the accident in a free-form text entry box.
• FIG. 45 illustrates a screen shot of[0275]party information frame4500.Party information frame4500 may be displayed indata display frame4250 whenParty Information tab4301 is selected. The user may be prompted to select a party involved in the accident from the menu that may include: Insured, claimant, or Witness. The user may be presented with input fields related to identifying information specific to the party selected. For example, the user may enter the selected party's name, address, city, zip code, phone number, gender, and state into entry fields. The user may enter a description of the accident made by the party into a free-form text entry box.
• FIG. 46 depicts an embodiment of a legal reference screen. The legal reference screen may be accessed by selection of[0276]legal reference button4277 inaccessories frame4275. The legal reference screen may provide the user with legal information for a jurisdiction in which the accident occurred. The legal information may be pertinent to determining liability in the accident. In an embodiment, the legal reference information may be accessed from a subscription legal reference service, such as the Westlaw legal information service, available from West Group of St. Paul, MN. For example, laws pertaining to proportionate responsibility for the jurisdiction may be displayed. The jurisdiction may be determined by the state selected inclaim data frame4225.
• FIG. 47 illustrates an embodiment of right of[0277]way data frame4701 that may be displayed if a user selects right ofway button4205 incontrols frame4201 and “Accident/Roadway”tab4703. Based on data provided in right ofway frame4701, the system may determine a right of way in an accident by a method described with reference to FIGS. 7aand7b. In some embodiments, a right of way data frame may allow a user to make a manual determination of right of way. Accident/Roadway tab4703 may present a user with a list of vehicles involved inaccident4705 and selection frames foraccident type4707 androadway configuration4709.Accident type frame4707 may display a graphical representation of a currently selected accident type.Roadway configuration frame4709 may display a graphical representation of a currently selected roadway configuration. A user may select a different accident type or roadway configuration by usingselection buttons4711 and4713, respectively.
• FIG. 48 illustrates an embodiment of traffic[0278]controls data frame4801 that may be displayed if a user selects right ofway button4205 incontrols frame4201 and “Traffic Controls”tab4803. Using trafficcontrols data frame4801, the user may enter information regarding one or more traffic controls that may have been present at the scene of an accident. The user may indicate a primary and a secondary traffic control in “primary traffic control”field4805 and “secondary traffic control”field4807, respectively. The user may also indicate if a traffic control was disobeyed infield4809. The user may also indicate if a traffic control was partially obscured infield4811. The user may indicate if a traffic control was completely obstructed or missing infield4813. The user may indicate if an intersection appeared uncontrolled at the time of the accident infield4815. Information provided infields4809,4811,4813, and4815 may be used to determine the effect of a missing or defective traffic control on liability on the accident.
• FIG. 49 illustrates an embodiment of impact[0279]points data frame4901 that may be displayed if a user selects right ofway button4205 incontrols frame4201 and “Impact Points”tab4903. Usingimpact points frame4901, the user may enter information regarding impact points for each vehicle in the accident. In an embodiment, impact pointsdata frame4901 may present the user with graphical representations of the vehicles involved, referenced bynumerals4905 and4907. In such embodiments, the user may be able to select the impact points on the graphical representation.
• FIG. 50 illustrates an embodiment of[0280]discords report frame5001 that may be displayed if a user selects right ofway button4205 incontrols frame4201 and “Discords”tab5003. As a user selects information describing an accident, two or more pieces of information may describe an implausible circumstance. For example, an accident type of head on may be selected with a roadway configuration of merging from the left. This accident type and roadway configuration may be unlikely to occur.Discord report frame5001 may display a report indicating to the user that an unlikely combination has been selected. This may allow the user to change one or more selections, or to proceed to a manual assessment of the accident using the existing selections.
• FIG. 51 illustrates an embodiment of[0281]factors input frame5101 that may be displayed if a user selects gather4207 incontrols frame4201.Factors input frame5101 may provideinput area5105 for each vehicle involved in the accident. For example, as depicted in FIG. 51, factorsinput frame5101 has an input area for a claimant and an insured. The claimant input area may be accessed by selectingclaimant tab5103. Eachinput area5105 may includequestions column5107, which may list questions to be asked during an accident investigation. Alternately, in some embodiments,questions column5107 may provide a column of input fields in which an adjuster may enter questions that were asked during the accident investigation. Some embodiments may include both an area to input adjuster originated question and a list of system prompted questions.
• Questions asked may pertain to individual factors or groups of factors. Factors[0282]category selection area5104 may allow the user to select an individual factor or a category of factors for which information may be input. For example, by selecting a visibility factor category from factorcategory selection area5104, the user may be provided a list of questions related to the visibility factor as described with regard to FIG. 35.
• [0283]Factors input area5101 may also include one or more versions columns for entering responses to questions provided by various parties. For example,insured version column5109 andclaimant version column5111 are depicted in FIG. 51. If other parties provide answers to one or more questions, additional version columns may be generated by selectingadd version button5113. Alternately, a version column may be deleted by use ofdelete version button5115. Version columns may be used to enter responses provided by a party regarding the questions inquestions column5107.
• FIG. 52 depicts an embodiment of[0284]conflict identification frame5201 according to one embodiment.Conflict identification frame5201 may assist an adjuster in identifying two or more answers from witnesses that appear to be in conflict with one another. The assessment of liability in a motor vehicle accident may involve analysis of multiple statements of the description of an accident. In one embodiment, the consistency between different witness statements may be assessed. The statements may be from the drivers or passengers of vehicles involved, bystanders and/or other drivers not involved in the accident. In some instances, statements provided by these various witnesses may not agree on all of the details of the accident. For example, details that may be important in assessing liability may include, but are not limited to, speed of the vehicles, whether brakes were applied, whether signaling was improper or nonexistent, whether a vehicle yielded, the road condition, the road character, road defects, whether a traffic control was defective, visibility, whether a driver was wearing required corrective lenses, distance between the vehicle before the accident, whether headlights were off, the presence of an animal/pedestrian/other vehicle, whether a vehicle made a sudden stop or swerve, whether taillight or brake lights were off, whether a vehicle undertook unsafe backing, whether there was failure to take evasive action, whether a vehicle had high beams on, and whether a lane change was improper.
• The system may compare answers given by each witness to various questions to determine if inconsistencies exist. In an embodiment, inconsistencies may be identified even if witnesses were not asked the same questions. For example, the system may flag an inconsistency if a driver answers no when asked, “Did you consume any alcohol prior to the accident?” but a witness answers yes when asked, “Did the drive of the vehicle seem to be impaired?” claims adjusters may use details that are described inconsistently for informational purposes. The system may list inconsistencies identified in tabular form in[0285]conflict identification frame5201. Details with inconsistent versions may be noted in the tabulation of results. For example,question column5203 may list a general question having inconsistent responses. Continuing the previous example regarding alcohol,question column5203 may contain the question, “Did the alcohol contribute to the accident?” Regarding the general question incolumn5203,source column5205 may list each source that provided an answer regarding the question.Response column5207 may list responses associated with each source.Conflict identification frame5201 may further provide the user withadjuster selection field5209.Adjuster selection field5209 may allow the user to select a response that the adjuster desires to designate as accurate. In other embodiments, the system may identify a most likely version of the accident. The most likely version may correspond to the version with the most responses that are consistent across all of the witnesses. For example, if 5 witnesses were asked about a particular detail and three provided consistent answers, the system may flag these answers as the most likely version of the accident.
• FIG. 53 depicts an embodiment of[0286]review frame5301. After a determination of a most likely version of the accident has been made, the user may be provided withreview frame5301 to review the responses retained as the most likely version of the accident. The user may select a category of factors to review from a list of categories offactors5303. Questions applicable to the selected category of factors may be displayed inquestions column5305. Answers from the determined most likely version of the accident may be displayed inanswers columns5307 and5309.
• In certain circumstances, the system may not be able to determine an accurate estimate of liability. For example, highly unusual circumstances of the accident may inhibit accurate assessment by the system. In such cases, manual[0287]assessment input screen5401 may be provided, as depicted in FIG. 54. Manualassessment input screen5401 may includeinsured liability field5403 andclaimant liability field5405. Additionally, manualassessment input screen5401 may includecomments field5407, where the user may provide comments regarding the need for the manual assessment and/or circumstances related to the accident.
• FIG. 55 depicts[0288]Consultation Report frame5501 according to one embodiment.Consultation Report frame5501 may includetext box5502 for displaying an Assessment Summary report. The Assessment Summary report may include a summary of data gathered and an assessment of liability. For example, the Assessment summary report may include, but is not limited to, the claim number, the minimum and maximum percentage of liability, the accident type, the roadway configuration, comments regarding one or more factors, proximate cause, accident date, whether the accident involved injuries, whether the police were called, the accident location, accident description, who the accident was reported by and reported to, jurisdiction, relevant traffic laws of the jurisdiction, identity of the claims adjuster that addressed the claim, and vehicle information for each vehicle. Vehicle information may include the Vehicle Identification Number (“VIN”), make, model, year, impact point, vehicle type, right of way, speed, factors that apply to the vehicle, and party who was driving the vehicle.
• The user may indicate whether the assessment is complete or incomplete by using[0289]Assessment Status field5503. The user may indicate whether the claim has settled using Settledfield5505. A settlement date may be entered inSettlement Date field5511.
• In an embodiment, notes may be added to an Assessment Summary report depending on the determination reached for each factor. With reference to FIGS. 10[0290]ato36, each terminus of each factor may have a report message code associated with it. Report message codes listed in an assessment report may aid the adjuster in explaining the assessment and/or in negotiating a settlement. It may be especially helpful to the adjuster to have talking points reached in the assessment listed in the assessment report.
• In an embodiment, other reports may be available to a user as well. For example, a user may be able to configure ad hoc reports related to historical accidents. The system may also provide one or more pre-configured reports. For example, a number of administrative or business reports may be available. Such reports may include, but are not limited to, reports pertaining to previous settlements reached, accidents claimed in a particular region or under a particular policy, and accidents associated with various categories of drivers or vehicles.[0291]
• In another embodiment, a graphical user interface similar to that illustrated in FIGS.[0292]42 to54 may be combined with accident reconstruction methodology to assess the credibility of details in witness accident descriptions. Accident reconstruction software may be applied to determine details relating to speed, time, and distance of the vehicles involved in the accident. Such details may be inferred by accident reconstruction software from physical measurements. For example, the impact speed may be inferred from physical damage to vehicles. The results of the accident reconstruction software may then be compared to the description of the corresponding detail in the witness statements. The credibility of a witness statement may then be evaluated according to its consistency with the results of the accident reconstruction software.
• Accident reconstruction software may employ accident reconstruction methods that may be dependent on a number of variables. Variables may be related to the preservation of the accident evidence, limitations in available specifications, and choice of accident reconstruction techniques. Accident reconstruction techniques may include damage-based and trajectory analysis techniques.[0293]
• Variables related to accident evidence include the facts of the particular case, which may be unique for the case. Generally, access to some facts may not be under the direct control of an accident reconstructionist, however, the reconstructionist may request documentation and/or memorialization of these facts. The facts of a case may form the basis for the reconstruction. Facts may be preserved or memorialized in photos or measurements by police or other investigators at the time of the accident.[0294]
• Accident evidence may include positions of rest of vehicles in the accident (e.g., where they stop), tire marks, roadway markings, damage to vehicles, and damage to property. The memorialization of these items may vary widely between cases. First, accident investigators (e.g., police on the scene of the accident) may identify the important aspects of the accident required to permit a detailed reconstruction. The determination of the requirements of a reconstruction may be incidental to other activities, for example, life-saving or the restoration of a safe environment to the accident site. An investigator may try to preserve as much of the evidence as possible. In this initial phase of memorialization, photography, paint markings of vehicles' positions of rest, impact marking, and debris may be used to preserve evidence. It may be advantageous to photograph items of evidence before putting paint marks on. Techniques for measuring various items at the scene may include sight estimates, pacing, tape measurements, and surveying type equipment. The variation in the accuracy of these techniques may detract from the ultimate accuracy of the speed estimates.[0295]
• The vehicle damage data may not necessarily be preserved at the scene. Typically, vehicle damage may remain unchanged for weeks and/or years at a separate location while either waiting for repair or disposal.[0296]
• Measurement of the extent of vehicle damage may be subject to some variation. However, typically, the variation of results of a damage-data based reconstruction may mainly be due to differences in the reconstruction and interpretation techniques rather than to the measurement devices used.[0297]
• Measurements and vehicle specifications may be used as inputs to the equation that permit application of various physical laws to the accident reconstruction. Specifications may include the mass of the vehicles. Measurements may include the geometry of the collision. Determining the geometry of the collision may require the dimensions of the vehicles as inputs.[0298]
• Additional specifications that may be used in a reconstruction may include roadway friction coefficients, wheel drag, and wheel steer, which may be used primarily for trajectory-based analysis. The friction coefficient, drag, and steer on the vehicle as it travels from impact to rest may be used to approximate the kinetic energy dissipated in a trajectory-based analysis.[0299]
• The two general techniques for accident reconstruction include damage-based and trajectory-based methods. Damage-based methods typically reconstruct accidents based on damage to vehicles without applying accident scene data. Damage-based only reconstruction techniques generally assume a virtual linear relationship between the impact speed changes versus residual or static crush. The relationship is virtual since it involves equating the crush energy dissipated during the dynamic crushing of the vehicles to the residual or static crush. Damage-based reconstruction techniques may use a single full-scale crash test data point for a given vehicle combined with an assumption regarding a “no-damage” intercept to calculate custom-fitted coefficients for use in individual case reconstructions. Such an assumption may generally be recognized as a crude first-approximation procedure. Alternatively, some damage-based techniques may use multiple crash tests on an individual vehicle to create multiple data points for a given vehicle.[0300]
• A trajectory-based analysis may directly provide estimates of the impact speed changes in the form of the differences between impact and separation velocities for each vehicle. The general concept or principle of a trajectory-based reconstruction may be the conservation of momentum. The conservation of momentum, which is based on Newton's second and third laws, is that the total momentum of an isolated system of masses remains constant. The conservation of momentum principle may serve as the theoretical basis for reconstruction of impact speeds in vehicle-to-vehicle collisions. The principal stipulates that the system momentum preceding a collision and the system momentum after a collision, for example at separation, are conserved in the absence of external forces. Therefore, if the individual speeds and directions of motion for each of the two vehicles in a collision to travel from separation to rest can be determined, then the direction and magnitude of this system momentum may be used to determine the magnitudes and directions of the velocities that may have existed prior to the collision, which are the impact velocities. Generally, the magnitude of external forces produced by the tires and other possible sources such as gouging and scraping of vehicle components on the ground during the collision may be considered small when compared to the magnitude of the forces of the collision. However, it may be necessary to consider such external forces for a comprehensive accident reconstruction.[0301]
• Analyzing the total energy dissipated as the vehicles travel from separation to their positions of rest may be important for preparing a comprehensive trajectory-based reconstruction of a collision. When vehicles separate after a collision, they may move to rest positions against resistance forces produced primarily by tire-to-ground friction. Secondary contacts, which may occur with roadside obstacles and/or terrain features, may play significant roles in the dissipation of kinetic energy and may also produce redirection of the spinout trajectories.[0302]
• In another embodiment, a graphical user interface like that illustrated in FIGS.[0303]42 to54 may be combined with a credibility assessment method to create a reliable accident description. The details relevant to the accident such as those described herein may be tested by a credibility assessment method such as the accident reconstruction software as described herein. The most credible version of the details may then be combined into a single, reliable version of an accident description.
• Further modifications and alternative embodiments of various aspects of the invention may be apparent to those skilled in the art in view of this description. Accordingly, this description is to be construed as illustrative only and is for the purpose of teaching those skilled in the art the general manner of carrying out the invention. It is to be understood that the forms of the invention shown and described herein are to be taken as the presently preferred embodiments. Elements and materials may be substituted for those illustrated and described herein, parts and processes may be reversed, and certain features of the invention may be utilized independently, all as would be apparent to one skilled in the art after having the benefit of this description of the invention. Changes may be made in the elements described herein without departing from the spirit and scope of the invention as described in the following claims.[0304]

Claims (844)

What is claimed is:

1. A method of estimating liability for an accident, comprising:

providing to a computer system a real set of characteristics of a real accident;

wherein the computer system is configured to access a memory, and wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

2. The method ofclaim 1, wherein the memory further comprises a database, and wherein the sets of characteristics for the past or theoretical accidents are stored in the database.

3. The method ofclaim 1, wherein the real accident comprises a collision involving one or more vehicles.

4. The method ofclaim 1, wherein the real accident comprises a collision involving two vehicles.

5. The method ofclaim 1, wherein the real accident comprises a collision involving one or more vehicles, and wherein determining an estimate of liability comprises determining an estimate of liability for a driver of the one or more vehicles.

6. The method ofclaim 1, wherein the real accident comprises a collision involving one or more vehicles, wherein determining an estimate of liability comprises determining an estimate of liability for a driver of the one or more vehicles and for one or more additional parties, wherein the one or more additional parties contributed to the real accident.

7. The method ofclaim 1, wherein the estimate of liability is expressed as a percentage.

8. The method ofclaim 1, wherein the estimate of liability is expressed as a range of liability.

9. The method ofclaim 1, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident.

10. The method ofclaim 1, wherein the real set of characteristics comprises a roadway configuration.

11. The method ofclaim 1, wherein the real set of characteristics comprises a roadway configuration, and wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

12. The method ofclaim 1, wherein the real set of characteristics comprises an accident type.

13. The method ofclaim 1, wherein the real set of characteristics comprises an accident type, and wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

14. The method ofclaim 1, wherein the real set of characteristics comprises an impact point for a vehicle in the real accident.

15. The method ofclaim 1, wherein the real set of characteristics comprises an impact point for a vehicle in the real accident, and wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

16. The method ofclaim 1, wherein the real set of characteristics comprises an impact point for each vehicle involved in the real accident.

17. The method ofclaim 1, wherein the real set of characteristics comprises an impact point for each vehicle involved in the real accident, and wherein the impact point for each vehicle is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

18. The method ofclaim 1, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident and a roadway configuration.

19. The method ofclaim 1, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident and a roadway configuration, and wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a Tangle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

20. The method ofclaim 1, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident and an accident type.

21. The method ofclaim 1, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident and an accident type, and wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

22. The method ofclaim 1, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident and an impact point of the vehicle involved in the real accident.

23. The method ofclaim 1, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident and an impact point of the vehicle involved in the real accident, and wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

24. The method ofclaim 1, wherein the real set of characteristics comprises a roadway configuration and an accident type.

25. The method ofclaim 1, wherein the real set of characteristics comprises a roadway configuration and an accident type, and wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn; a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

26. The method ofclaim 1, wherein the real set of characteristics comprises a roadway configuration and an accident type, and wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

27. The method ofclaim 1, wherein the real set of characteristics comprises a roadway configuration and an impact point of a vehicle involved in the real accident.

28. The method ofclaim 1, wherein the real set of characteristics comprises a roadway configuration and an impact point of a vehicle involved in the real accident, and wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

29. The method ofclaim 1, wherein the real set of characteristics comprises a roadway configuration and an impact point of a vehicle involved in the real accident, and wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

30. The method ofclaim 1, wherein the real set of characteristics comprises an accident type and an impact point of a vehicle involved in the real accident.

31. The method ofclaim 1, wherein the real set of characteristics comprises an accident type and an impact point of a vehicle involved in the real accident, and wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

32. The method ofclaim 1, wherein the real set of characteristics comprises an accident type and an impact point of a vehicle involved in the real accident, and wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

33. The method ofclaim 1, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident, a roadway configuration, and an accident type.

34. The method ofclaim 1, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident, a roadway configuration, and an accident type, and wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

35. The method ofclaim 1, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident, a roadway configuration, and an accident type, and wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

36. The method ofclaim 1, wherein the real set of characteristics comprises a right of way for a vehicle in the accident, a roadway configuration, and an impact point of the vehicle involved in the real accident.

37. The method ofclaim 1, wherein the real set of characteristics comprises a right of way for a vehicle in the accident, a roadway configuration, and an impact point of the vehicle involved in the real accident, and wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

38. The method ofclaim 1, wherein the real set of characteristics comprises a right of way for a vehicle in the accident, a roadway configuration, and an impact point of the vehicle involved in the real accident, and wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

39. The method ofclaim 1, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident, an accident type, and an impact point of the vehicle involved in the real accident.

40. The method ofclaim 1, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident, an accident type, and an impact point of the vehicle involved in the real accident, and wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

41. The method ofclaim 1, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident, an accident type, and an impact point of the vehicle involved in the real accident, and wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

42. The method ofclaim 1, wherein the real set of characteristics comprises a roadway configuration, an accident type, and an impact point of a vehicle involved in the real accident.

43. The method ofclaim 1, wherein the real set of characteristics comprises a roadway configuration, an accident type, and an impact point of a vehicle involved in the real accident, and wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

44. The method ofclaim 1, wherein the real set of characteristics comprises a roadway configuration, an accident type, and an impact point of a vehicle involved in the real accident, and wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

45. The method ofclaim 1, wherein the real set of characteristics comprises a roadway configuration, an accident type, and an impact point of a vehicle involved in the real accident, and wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

46. The method ofclaim 1, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident, a roadway configuration, an accident type, and an impact point of the vehicle involved in the real accident.

47. The method ofclaim 1, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident, a roadway configuration, an accident type, and an impact point of the vehicle involved in the real accident, and wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

48. The method ofclaim 1, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident, a roadway configuration, an accident type, and an impact point of the vehicle involved in the real accident, and wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

49. The method ofclaim 1, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident, a roadway configuration, an accident type, and an impact point of the vehicle involved in the real accident, and wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

50. The method ofclaim 1, wherein determining an estimate of liability comprises determining a base liability estimate and one or more factor estimates, the method further comprising determining a final liability estimate based on the base liability estimate and the one or more factor estimates.

51. The method ofclaim 50, wherein the one or more factor estimates comprise an estimate of an effect on liability of a factor, and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

52. The method ofclaim 50, further comprising adjusting the one or more factor estimates with a situational weight.

53. The method ofclaim 50, further comprising adjusting a sum of the one or more factors with a factor influence, wherein the factor influence is estimated from knowledge obtained from experienced claims adjusters.

54. The method ofclaim 50, further comprising adjusting the one or more factors with a ranking factor, wherein the ranking factor is estimated from knowledge obtained from experienced claims adjusters.

55. The method ofclaim 1, further comprising determining one or more situational weights based on circumstances relating to the real accident.

56. The method ofclaim 1, wherein the accident comprises a collision of one or more vehicles, wherein the computer system is further configured to determine at least one factor estimate, wherein the at least one factor estimate comprises an estimate of an effect on liability of a factor, and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

57. The method ofclaim 56, further comprising adjusting the at least one factor estimate with a situational weight.

58. The method ofclaim 57, wherein the situational weight is estimated from knowledge obtained from experienced claims adjusters.

59. The method ofclaim 57, wherein the situational weight is estimated from circumstances relating to the vehicle accident.

60. The method ofclaim 56, further comprising determining a sum of the at least one factor estimate, and adjusting the sum of the at least one factor estimate with a factor influence.

61. The method ofclaim 56, further comprising adjusting the at least one factor estimate with a ranking factor.

62. The method ofclaim 1, wherein the estimate of liability is a range, and wherein the range is estimated by a range radius.

63. The method ofclaim 1, wherein the estimate of liability is a range, wherein the range is estimated by a range radius, and wherein the range radius is adjusted by a snap-to radius.

64. The method ofclaim 1, wherein the computer system is further configured to access a different memory containing information useful for determining a right of way for a vehicle.

65. The method ofclaim 1, wherein the computer system is further configured to access the memory, and wherein the memory comprises information useful for determining a right of way for a vehicle.

66. The method ofclaim 1, wherein the computer system is further configured to access a different memory containing information about laws in a jurisdiction applicable to the real accident.

67. The method ofclaim 1, wherein the computer system is further configured to access the memory, and wherein the memory comprises information about laws in a jurisdiction applicable to the real accident.

68. The method ofclaim 1, wherein the computer system is further configured to access a different memory containing information useful for determining a right of way for a vehicle involved in the real accident, and wherein the computer system is further configured to determine the right of way for the vehicle.

69. The method ofclaim 1, wherein the computer system is further configured to access the memory, wherein the memory comprises information useful for determining a right of way for a vehicle involved in the real accident, and wherein the computer system is further configured to determine the right of way for the vehicle.

70. A method of estimating liability for an accident, comprising:

providing to a computer system a real set of characteristics relating to a real accident, wherein at least one of the real set of characteristics comprises a right of way for a vehicle in the accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the sets of characteristics for the past or theoretical accidents comprises a right of way for a vehicle in the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

71. The method ofclaim 70, wherein the memory further comprises a database, and wherein the sets of characteristics for the past or theoretical accidents are stored in the database.

72. The method ofclaim 70, wherein the real accident comprises a collision involving two vehicles.

73. The method ofclaim 70, wherein the real accident comprises a collision involving one or more vehicles, and wherein determining an estimate of liability comprises determining an estimate of liability for a driver of the vehicle in the real accident.

74. The method ofclaim 70, wherein the real accident comprises a collision involving the vehicle in the real accident and one or more other vehicles, wherein determining an estimate of liability comprises determining an estimate of liability for a driver of the vehicle in the real accident and the one or more other vehicles and for one or more additional parties, and wherein the one or more additional parties contributed to the real accident.

75. The method ofclaim 70, wherein the estimate of liability is expressed as a percentage.

76. The method ofclaim 70, wherein the estimate of liability is expressed as a range of liability.

77. The method ofclaim 70, wherein the real set of characteristics further comprises a roadway configuration.

78. The method ofclaim 77, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

79. The method ofclaim 70, wherein the real set of characteristics further comprises an accident type.

80. The method ofclaim 79, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

81. The method ofclaim 70, wherein the real set of characteristics further comprises an impact point for the vehicle in the real accident.

82. The method ofclaim 81, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

83. The method ofclaim 70, wherein the real set of characteristics further comprises impact points for the vehicle in the real accident and one or more other vehicles.

84. The method ofclaim 83, wherein each impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

85. The method ofclaim 70, wherein the real set of characteristics further comprises a roadway configuration and an accident type.

86. The method ofclaim 70, wherein the real set of characteristics further comprises a roadway configuration and an impact point of the vehicle in the real accident.

87. The method ofclaim 70, wherein the real set of characteristics further comprises an accident type and an impact point of the vehicle in the real accident.

88. The method ofclaim 70, wherein the real set of characteristics further comprises a right of way for the vehicle in the real accident, a roadway configuration, and an accident type.

89. The method ofclaim 70, wherein the real set of characteristics further comprises a roadway configuration, an accident type, and an impact point of the vehicle in the real accident.

90. The method ofclaim 70, wherein determining an estimate of liability comprises determining a base liability estimate and one or more factor estimates, the method further comprising determining a final liability estimate based on the base liability estimate and the one or more factor estimates.

91. The method ofclaim 90, wherein the one or more factor comprise an estimate of an effect on liability of a factor, and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

92. The method ofclaim 70, wherein the accident comprises a collision of the vehicle and one or more other vehicles, wherein the computer system is further configured to determine at least one factor estimate, wherein the at least one factor estimate comprises an estimate of an effect on liability of a factor, and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

93. The method ofclaim 70, wherein the estimate of liability is a range, and wherein the range is estimated by a range radius.

94. The method ofclaim 70, wherein the estimate liability is a range, wherein the range is estimated by a range radius, and wherein the range radius is adjusted by a snap-to radius.

95. The method ofclaim 70, wherein the computer system is further configured to access a different memory containing information useful for determining the right of way of the vehicle in the real accident.

96. The method ofclaim 70, wherein the computer system is further configured to access a different memory containing information about laws in a jurisdiction applicable to the real accident.

97. The method ofclaim 70, wherein the computer system is further configured to access a different memory containing information useful for determining the right of way of the vehicle in the real accident, and wherein the computer system is further configured to determine the right of way of the vehicle.

98. A method of estimating liability for an accident, comprising:

providing to a computer system a real set of characteristics relating to a real accident, wherein at least one of the real set of characteristics comprises a roadway configuration at the location of the real vehicle accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the sets of characteristics for the past or theoretical accidents comprises a roadway configuration at the location of one of the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

99. The method ofclaim 98, wherein the memory further comprises a database, and wherein the sets of characteristics for the past or theoretical accidents are stored in the database.

100. The method ofclaim 98, wherein the real accident comprises a collision involving one or more vehicles.

101. The method ofclaim 98, wherein the real accident comprises a collision involving one or more vehicles, and wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least one of the one or more vehicles.

102. The method ofclaim 98, wherein the real accident comprises a collision involving one or more vehicles, wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least one of the one or more vehicles in the real accident and for one or more additional parties, and wherein the one or more additional parties contributed to the real accident.

103. The method ofclaim 98, wherein the estimate of liability is expressed as a percentage.

104. The method ofclaim 98, wherein the estimate of liability is expressed as a range of liability.

105. The method ofclaim 98, wherein the real set of characteristics further comprises a right of way for a vehicle in the real accident.

106. The method ofclaim 98, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

107. The method ofclaim 98, wherein the real set of characteristics further comprises an accident type.

108. The method ofclaim 107, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

109. The method ofclaim 98, wherein the real set of characteristics further comprises an impact point for a vehicle in the real accident.

110. The method ofclaim 109, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

111. The method ofclaim 98, wherein the real set of characteristics further comprises a right of way for a vehicle in the real accident and an accident type.

112. The method ofclaim 98, wherein the real set of characteristics further comprises a right of way for a vehicle in the real accident and an impact point of the vehicle in the real accident.

113. The method ofclaim 98, wherein the real set of characteristics further comprises an accident type and an impact point of the vehicle in the real accident.

114. The method ofclaim 98, wherein the real set of characteristics further comprises a right of way for a vehicle in the real accident, an accident type, and an impact point of the vehicle in the real accident.

115. The method ofclaim 98, wherein determining an estimate of liability comprises determining a base liability estimate and one or more factor estimates, the method further comprising determining a final liability estimate based on the base liability estimate and the one or more factor estimates.

116. The method ofclaim 115, wherein the one or more factor estimates comprise an estimate of an effect on liability of a factor, and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

117. The method ofclaim 98, wherein the accident comprises a collision of one or more vehicles, wherein the computer system is further configured to determine at least one factor estimate, wherein the at least one factor estimate comprise an estimate of an effect on liability of a factor, and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

118. The method ofclaim 98, wherein the estimate of liability is a range, and wherein the range is estimated by a range radius.

119. The method ofclaim 98, wherein the estimate of liability is a range, wherein the range is estimated by a range radius, and wherein the range radius is adjusted by a snap-to radius.

120. The method ofclaim 98, wherein the computer system is further configured to access a different memory containing information useful for determining a right of way for a vehicle.

121. The method ofclaim 98, wherein the computer system is further configured to access a different memory containing information about laws in a jurisdiction applicable to the real vehicle accident.

122. The method ofclaim 98, wherein the computer system is further configured to access a different memory containing information useful for determining a right of way of a vehicle in the real vehicle accident, and wherein the computer system is further configured to determine the right of way of the vehicle.

123. A method of estimating liability for an accident, comprising:

providing to a computer system a real set of characteristics relating to a real accident, wherein at least one of the real set of characteristics comprises an accident type;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the sets of characteristics for the past or theoretical accidents comprises an accident type of the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

124. The method ofclaim 123, wherein the memory further comprises a database, and wherein the sets of characteristics for past or theoretical accidents are stored in the database.

125. The method ofclaim 123, wherein the real accident comprises a collision involving one or more vehicles.

126. The method ofclaim 123, wherein the real accident comprises a collision involving one or more vehicles, and wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least one of the one or more vehicles.

127. The method ofclaim 123, wherein the real accident comprises a collision involving one or more vehicles, wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least one of the one or more vehicles and for one or more additional parties, and wherein the one or more additional parties contributed to the real accident.

128. The method ofclaim 123, wherein the estimate of liability is expressed as a percentage.

129. The method ofclaim 123, wherein the estimate of liability is expressed as a range of liability.

130. The method ofclaim 123, wherein the real set of characteristics further comprises a right of way for a vehicle in the real accident.

131. The method ofclaim 123, wherein the real set of characteristics further comprises a roadway configuration.

132. The method ofclaim 131, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

133. The method ofclaim 123, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

134. The method ofclaim 123, wherein the real set of characteristics further comprises an impact point for a vehicle in the real accident.

135. The method ofclaim 134, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

136. The method ofclaim 123, wherein the real set of characteristics further comprises an impact point for more than one vehicle involved in the real accident.

137. The method ofclaim 136, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

138. The method ofclaim 123, wherein the real set of characteristics further comprises a right of way of a vehicle in the real accident and a roadway configuration.

139. The method ofclaim 123, wherein the real set of characteristics further comprises a right of way of a vehicle in the real accident and an impact point of the vehicle in the real accident.

140. The method ofclaim 123, wherein the real set of characteristics further comprises a roadway configuration and an impact point of a vehicle in the real accident.

141. The method ofclaim 123, wherein the real set of characteristics further comprises a right of way of a vehicle in the accident, a roadway configuration, and an impact point of the vehicle in the real accident.

142. The method ofclaim 123, wherein determining an estimate of liability comprises determining a base liability estimate and one or more factor estimates, the method further comprising determining a final liability estimate based on the base liability estimate and the one or more factor estimates.

143. The method ofclaim 142, wherein the one or more factor estimates comprise an estimate of an effect on liability of a factor; and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

144. The method ofclaim 123, wherein the accident comprises a collision of one or more vehicles, wherein the computer system is further configured to determine at least one factor estimate, wherein the at least one factor estimate comprise an estimate of an effect on liability of a factor; and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

145. The method ofclaim 123, wherein the estimate of liability is a range, and wherein the range is estimated by a range radius.

146. The method ofclaim 123, wherein the estimate liability is a range, wherein the range is estimated by a range radius, and wherein the range radius is adjusted by a snap-to radius.

147. The method ofclaim 123, wherein the computer system is further configured to access a different memory containing information useful for determining a right of way of a vehicle in the real accident.

148. The method ofclaim 123, wherein the computer system is further configured to access a different memory containing information about laws in a jurisdiction applicable to the real accident.

149. The method ofclaim 123, wherein the computer system is further configured to access a different memory containing information useful for determining a right of way of a vehicle in the real accident, and wherein the computer system is further configured to determine the right of way for the vehicle.

150. A method of estimating liability for an accident, comprising:

providing to a computer system a real set of characteristics relating to a real accident, wherein at least one of the real set of characteristics comprises an impact point for a vehicle involved in the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the sets of characteristics for the past or theoretical accidents comprises an impact point for a vehicle involved in one of the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

151. The method ofclaim 150, wherein the memory further comprises a database, and wherein the sets of characteristics for past or theoretical accidents are stored in the database.

152. The method ofclaim 150, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles.

153. The method ofclaim 150, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles, and wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least the vehicle or the one or more other vehicles.

154. The method ofclaim 150, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles, wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least the vehicle or the one or more other vehicles and for one or more additional parties, and wherein the one or more additional parties contributed to the real accident.

155. The method ofclaim 150, wherein the estimate of liability is expressed as a percentage.

156. The method ofclaim 150, wherein the estimate of liability is expressed as a range of liability.

157. The method ofclaim 150, wherein the real set of characteristics further comprises a right of way for the vehicle in the real accident.

158. The method ofclaim 150, wherein the real set of characteristics further comprises a roadway configuration.

159. The method ofclaim 158, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

160. The method ofclaim 150, wherein the real set of characteristics further comprises an accident type.

161. The method ofclaim 160, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

162. The method ofclaim 150, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

163. The method ofclaim 150, wherein the real set of characteristics further comprises a right of way for the vehicle in the real accident and a roadway configuration.

164. The method ofclaim 150, wherein the real set of characteristics further comprises a right of way for the vehicle in the real accident and an accident type.

165. The method ofclaim 150, wherein the real set of characteristics further comprises a roadway configuration and an accident type.

166. The method ofclaim 150, wherein the real set of characteristics further comprises a right of way for the vehicle in the real accident, a roadway configuration, and an accident type.

167. The method ofclaim 150, wherein determining an estimate of liability comprises determining a base liability estimate and one or more factor estimates, the method further comprising determining a final liability estimate based on the base liability estimate and the one or more factor estimates.

168. The method ofclaim 167, wherein the one or more factor estimates comprise an estimate of an effect on liability of a factor; and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

169. The method ofclaim 150, wherein the accident comprises a collision of the vehicle and one or more other vehicles, wherein the computer system is further configured to determine at least one factor estimate, wherein the at least one factor estimate comprise an estimate of an effect on liability of a factor; and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

170. The method ofclaim 150, wherein the estimate of liability is a range, and wherein the range is estimated by a range radius.

171. The method ofclaim 150, wherein the estimate liability is a range, wherein the range is estimated by a range radius, and wherein the range radius is adjusted by a snap-to radius.

172. The method ofclaim 150, wherein the computer system is further configured to access a different memory containing information useful for determining a right of way for the vehicle.

173. The method ofclaim 150, wherein the computer system is further configured to access a different memory containing information about laws in a jurisdiction applicable to the real accident.

174. The method ofclaim 150, wherein the computer system is further configured to access a different memory containing information useful for determining a right of way for the vehicle in the real accident, and wherein the computer system is further configured to determine the right of way for the vehicle.

175. A method of estimating liability for an accident, comprising:

providing to a computer system a real set of characteristics relating to a real accident, wherein at least two of the set of real characteristics comprise a right of way for a vehicle in the real accident and a roadway configuration at the location of the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least two of the sets of characteristics for the past or theoretical accidents comprise a right of way for a vehicle in one of the past or theoretical accidents and a roadway configuration at the location of the past or theoretical accident;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

176. The method ofclaim 175, wherein the memory comprises a database, and wherein the sets of characteristics for the past or theoretical accidents are stored in the database.

177. The method ofclaim 175, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles.

178. The method ofclaim 175, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles, and wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least the vehicle or the one or more other vehicles in the real accident.

179. The method ofclaim 175, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles, wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least the vehicle or the one or more other vehicles and for one or more additional parties, and wherein the one or more additional parties contributed to the real accident.

180. The method ofclaim 175, wherein the estimate of liability is expressed as a percentage.

181. The method ofclaim 175, wherein the estimate of liability is expressed as a range of liability.

182. The method ofclaim 175, wherein the roadway configuration at the location of the real accident is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

183. The method ofclaim 175, wherein the real set of characteristics further comprises an accident type.

184. The method ofclaim 183, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on and a straight cross traffic collision.

185. The method ofclaim 175, wherein the real set of characteristics further comprises an impact point for the vehicle.

186. The method ofclaim 185, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

187. The method ofclaim 175, wherein the real set of characteristics comprises an impact point for the vehicle and one or more other vehicles involved in the real accident.

188. The method ofclaim 187, wherein each impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

189. The method ofclaim 175, wherein the real set of characteristics further comprises an accident type and an impact point for the vehicle.

190. The method ofclaim 175, wherein determining an estimate of liability comprises determining a base liability estimate and one or more factor estimates, the method further comprising determining a final liability estimate based on the base liability estimate and the one or more factor estimates.

191. The method ofclaim 190, wherein the one or more factor estimates comprise an estimate of an effect on liability of a factor; and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

192. The method ofclaim 175, wherein the accident comprises a collision of the vehicle and one or more other vehicles, wherein the computer system is further configured to determine at least one factor estimate, wherein the at least one factor estimate comprise an estimate of an effect on liability of a factor; and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

193. The method ofclaim 175, wherein the estimate of liability is a range, and wherein the range is estimated by a range radius.

194. The method ofclaim 175, wherein the estimate liability is a range, wherein the range is estimated by a range radius, and wherein the range radius is adjusted by a snap-to radius.

195. The method ofclaim 175, wherein the computer system is further configured to access a different memory containing information useful for determining the right of way for the vehicle.

196. The method ofclaim 175, wherein the computer system is further configured to access a different memory containing information about laws in a jurisdiction applicable to the real accident.

197. The method ofclaim 175, wherein the computer system is further configured to access a different memory containing information useful for determining the right of way for the vehicle in the real accident, and wherein the computer system is further configured to determine the right of way for the vehicle.

198. A method of estimating liability for an accident, comprising:

providing to a computer system a real set of characteristics relating to a real accident, wherein at least two of the real set of characteristics comprise a right of way for a vehicle in the real accident and an accident type of the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least two of the sets of characteristics for the past or theoretical accidents comprise a right of way for a vehicle in the past or theoretical accident and an accident type of the past or theoretical accident;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

199. The method ofclaim 198, wherein the memory comprises a database, and wherein the sets of characteristics for the past or theoretical accidents are stored in the database.

200. The method ofclaim 198, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles.

201. The method ofclaim 198, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles, wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least the vehicle or the one or more other vehicles.

202. The method ofclaim 198, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles, wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least the vehicle or the one or more other vehicles and for one or more additional parties, and wherein the one or more additional parties contributed to the real accident.

203. The method ofclaim 198, wherein the estimate of liability is expressed as a percentage.

204. The method ofclaim 198, wherein the estimate of liability is expressed as a range of liability.

205. The method ofclaim 198, wherein the real set of characteristics further comprises a roadway configuration.

206. The method ofclaim 205, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

207. The method ofclaim 198, wherein the accident type of the real accident is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

208. The method ofclaim 198, wherein the real set of characteristics further comprises an impact point for the vehicle in the real accident.

209. The method ofclaim 208, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, or front middle.

210. The method ofclaim 198, wherein the real set of characteristics further comprises an impact point for the vehicle and one or more other vehicles in the real accident.

211. The method ofclaim 210, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

212. The method ofclaim 198, wherein the real set of characteristics further comprises a roadway configuration and an impact point of the vehicle and one or more other vehicles involved in the real accident.

213. The method ofclaim 198, wherein determining an estimate of liability comprises determining a base liability estimate and one or more factor estimates, the method further comprising determining a final liability estimate based on the base liability estimate and the one or more factor estimates.

214. The method ofclaim 213, wherein the one or more factor estimates comprise an estimate of an effect on liability of a factor; and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

215. The method ofclaim 198, wherein the accident comprises a collision of the vehicle and one or more other vehicles, wherein the computer system is further configured to determine at least one factor estimate, wherein the at least one factor estimate comprise an estimate of an effect on liability of a factor; and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

216. The method ofclaim 198, wherein the estimate of liability is a range, and wherein the range is estimated by a range radius.

217. The method ofclaim 198, wherein the estimate liability is a range, wherein the range is estimated by a range radius, and wherein the range radius is adjusted by a snap-to radius.

218. The method ofclaim 198, wherein the computer system is further configured to access a different memory containing information useful for determining the right of way for the vehicle in the real accident.

219. The method ofclaim 198, wherein the computer system is further configured to access a different memory containing information about laws in a jurisdiction applicable to the real accident.

220. The method ofclaim 198, wherein the computer system is further configured to access a different memory containing information useful for determining the right of way for the vehicle in the real accident, and wherein the computer system is further configured to determine the right of way for the vehicle in the real accident.

221. A method of estimating liability for an accident, comprising:

providing to a computer system a real set of characteristics relating to a real accident, wherein at least two of the real set of characteristics comprise a right of way for a vehicle in the real accident and an impact point of the vehicle in the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least two of the sets of characteristics for the past or theoretical accidents comprise a right of way for a vehicle in one of the past or theoretical accidents and an impact points of the vehicle in the one past or theoretical accident;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

222. The method ofclaim 221, wherein the memory comprises a database, and wherein the sets of characteristics for the past or theoretical accidents are stored in the database.

223. The method ofclaim 221, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles.

224. The method ofclaim 221, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles, and wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least the vehicle or the one or more other vehicles in the real accident.

225. The method ofclaim 221, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles, wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least the vehicle or the one or more other vehicles in the real accident and for one or more additional parties, and wherein the one or more additional parties contributed to the real accident.

226. The method ofclaim 221, wherein the estimate of liability is expressed as a percentage.

227. The method ofclaim 221, wherein the estimate of liability is expressed as a range of liability.

228. The method ofclaim 221, wherein the real set of characteristics further comprises a roadway configuration at the location of the real accident.

229. The method ofclaim 228, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

230. The method ofclaim 221, wherein the real set of characteristics further comprises an accident type of the real accident.

231. The method ofclaim 230, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

232. The method ofclaim 221, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

233. The method ofclaim 221, wherein the real set of characteristics further comprises a roadway configuration of a location of the real accident and an accident type of the real accident.

234. The method ofclaim 221, wherein determining an estimate of liability comprises determining a base liability estimate and one or more factor estimates, the method further comprising determining a final liability estimate based on the base liability estimate and the one or more factor estimates.

235. The method ofclaim 234, wherein the one or more factor estimates comprise an estimate of an effect on liability of a factor, and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

236. The method ofclaim 221, wherein the accident further comprises a collision of the vehicle and the one or more other vehicles, wherein the computer system is configured to determine at least one factor estimate, wherein the at least one factor estimate comprises an estimate of an effect on liability of a factor, and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, or improper signaling.

237. The method ofclaim 221, wherein the estimate of liability is a range, and wherein the range is estimated by a range radius.

238. The method ofclaim 221, wherein the estimate liability is a range, wherein the range is estimated by a range radius, and wherein the range radius is adjusted by a snap-to radius.

239. The method ofclaim 221, wherein the computer system is further configured to access a different memory containing information useful for determining the right of way for the vehicle in the real accident.

240. The method ofclaim 221, wherein the computer system is further configured to access a different memory containing information about laws in a jurisdiction applicable to the real accident.

241. The method ofclaim 221, wherein the computer system is further configured to access a different memory containing information useful for determining the right of way for the vehicle in the real accident, and wherein the computer system is further configured to determine the right of way for the vehicle in the real accident.

242. A method of estimating liability for an accident, comprising:

providing to a computer system a real set of characteristics relating to a real accident, wherein at least two of the real set of characteristics comprise a roadway configuration at a location of the real accident and an accident type of the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least two of the sets of characteristics comprise a roadway configuration at a location of one of the past or theoretical accidents and an accident type of the past or theoretical accident;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

243. The method ofclaim 242, wherein the memory comprises a database, and wherein the sets of characteristics for the past or theoretical accidents are stored in the database.

244. The method ofclaim 242, wherein the real accident comprises a collision involving one or more vehicles.

245. The method ofclaim 242, wherein the real accident comprises a collision involving one or more vehicles, and wherein determining an estimate of liability comprises determining an estimate of liability for a driver of the one or more vehicles.

246. The method ofclaim 242, wherein the real accident comprises a collision involving one or more vehicles, wherein determining an estimate of liability comprises determining an estimate of liability for a driver of the one or more vehicles and for one or more additional parties, and wherein the one or more additional parties contributed to the real accident.

247. The method ofclaim 242, wherein the estimate of liability is expressed as a percentage.

248. The method ofclaim 242, wherein the estimate of liability is expressed as a range of liability.

249. The method ofclaim 242, wherein the real set of characteristics further comprises a right of way for a vehicle in the real accident.

250. The method ofclaim 242, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

251. The method ofclaim 242, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

252. The method ofclaim 242, wherein the real set of characteristics further comprises an impact point for a vehicle in the real accident.

253. The method ofclaim 252, wherein the impact point is selected from the group consisting or right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

254. The method ofclaim 242, wherein the real set of characteristics further comprises a right of way for a vehicle in the real accident and an impact point of the vehicle.

255. The method ofclaim 242, wherein determining an estimate of liability comprises determining a base liability estimate and one or more factor estimates the method further comprising determining a final liability estimate based on the base liability estimate and the one or more factor estimates.

256. The method ofclaim 255, wherein the one or more factor estimates comprise an estimate of an effect on liability of a factor, and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

257. The method ofclaim 242, wherein the real accident comprises a collision of one or more vehicles, wherein the computer system is further configured to determine at least one factor estimate, wherein the at least one factor estimate comprise an estimate of an effect on liability of a factor, and wherein the factors is selected from the group, consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

258. The method ofclaim 242, wherein the estimate of liability is a range, and wherein the range is estimated by a range radius.

259. The method ofclaim 242, wherein the estimate liability is a rang, wherein the range is estimated by a range radius, and wherein the range radius is adjusted by a snap-to radius.

260. The method ofclaim 242, wherein the computer system is further configured to access a different memory containing information useful for determining a right of way for a vehicle in the real accident.

261. The method ofclaim 242, wherein the computer system is further configured to access a different memory containing information about laws in a jurisdiction applicable to the real accident.

262. The method ofclaim 242, wherein the computer system is further configured to access a different memory containing information useful for determining a right of way for a vehicle in the real accident, and wherein the computer system is further configured to determine the right of way for the vehicle.

263. A method of estimating liability for an accident, comprising:

providing to a computer system a real set of characteristics relating to a real accident, wherein at least two of the real set of characteristics comprise a roadway configuration at a location of the real accident and an impact points of a vehicle in the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with an estimate of liability, and wherein at least two of the characteristics for the past or theoretical accidents comprises a roadway configuration at a location of one of the past or theoretical accidents and an impact point of a vehicle in the one past or theoretical accident;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

264. The method ofclaim 263, wherein the further comprises a database, and wherein the sets of characteristics for the past or theoretical accidents are stored in the database.

265. The method ofclaim 263, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles.

266. The method ofclaim 263, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles, and wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least the vehicle or the one or more other vehicles.

267. The method ofclaim 263, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles, and wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least the vehicle or the one or more other vehicles and for one or more additional parties, wherein the one or more additional parties contributed to the real accident.

268. The method ofclaim 263, wherein the estimate of liability is expressed as a percentage.

269. The method ofclaim 263, wherein the estimate of liability is expressed as a range of liability.

270. The method ofclaim 263, wherein the real set of characteristics further comprises a right of way for the vehicle in the real accident.

271. The method ofclaim 263, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

272. The method ofclaim 263, wherein the real set of characteristics further comprises an accident type of the real accident.

273. The method ofclaim 272, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

274. The method ofclaim 263, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

275. The method ofclaim 263, wherein the real set of characteristics further comprises a right of way for the vehicle in the real accident and an accident type of the real accident.

276. The method ofclaim 263, wherein determining an estimate of liability comprises determining a base liability estimate and one or more factor estimates, the method further comprising determining a final liability estimate based on the base liability estimate and the one or more factor estimates.

277. The method ofclaim 276, wherein the one or more factor estimates comprise an estimate of an effect on liability of a factor, and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

278. The method ofclaim 263, wherein the accident further comprises a collision of the vehicle and one or more other vehicles, wherein the computer system is further configured to determine at least one factor estimate, wherein the at least one factor estimate comprises an estimate of an effect on liability of a factor, and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

279. The method ofclaim 263, wherein the estimate of liability is a range, and wherein the range is estimated by a range radius.

280. The method ofclaim 263, wherein the estimate liability is a range, wherein the range is estimated by a range radius, and wherein the range radius is adjusted by a snap-to radius.

281. The method ofclaim 263, wherein the computer system is further configured to access a different memory containing information useful for determining a right of way for the vehicle in the real accident.

282. The method ofclaim 263, wherein the computer system is further configured to access a different memory containing information about laws in a jurisdiction applicable to the real accident.

283. The method ofclaim 263, wherein the computer system is further configured to access a different memory containing information useful for determining a right of way for the vehicle in the real accident, and wherein the computer system is further configured to determine the right of way for the vehicle.

284. A method of estimating liability for an accident, comprising:

providing to a computer system a real set of characteristics of a real accident, wherein the real set of characteristics comprises an accident type of the real accident and an impact point of a vehicle in the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein the sets of characteristics of the past or theoretical accidents comprise an accident type of one of the past or theoretical accidents and an impact point of a vehicle in the one past or theoretical accident;

comparing the real set of characteristics to the sets of characteristics for the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

285. The method ofclaim 284, wherein the memory comprises a database, and wherein the sets of characteristics for past or theoretical accidents are stored in the database.

286. The method ofclaim 284, wherein the real accident comprises a collision involving the vehicle in the real accident and one or more other vehicles.

287. The method ofclaim 284, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles, and wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least the vehicle or the one or more other vehicles.

288. The method ofclaim 284, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles, and wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least the vehicle or the one or more other vehicles and for one or more additional parties, wherein the one or more additional parties contributed to the real accident.

289. The method ofclaim 284, wherein the estimate of liability is expressed as a percentage.

290. The method ofclaim 284, wherein the estimate of liability is expressed as a range of liability.

291. The method ofclaim 284, wherein the real set of characteristics further comprises a right of way for the vehicle in the real accident.

292. The method ofclaim 284, wherein the real set of characteristics further comprises a roadway configuration at a location of the real accident.

293. The method ofclaim 292, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

294. The method ofclaim 284, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

295. The method ofclaim 284, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

296. The method ofclaim 284, wherein the real set of characteristics further comprises a right of way for the vehicle in the real accident and a roadway configuration at a location of the real accident.

297. The method ofclaim 284, wherein determining an estimate of liability comprises determining a base liability estimate and one or more factor estimates, the method further comprising determining a final liability estimate based on the base liability estimate and the one or more factor estimates.

298. The method ofclaim 297, wherein the one or more factor estimates comprise an estimate of an effect on liability of a factor, and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

299. The method ofclaim 284, wherein the accident further comprises a collision of the vehicle and one or more other vehicles, wherein the computer system is further configured to determine at least one factor estimate, wherein the at least one factor estimate comprise an estimate of an effect on liability of a factor, and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

300. The method ofclaim 284, wherein the estimate of liability is a range, and wherein the range is estimated by a range radius.

301. The method ofclaim 284, wherein the estimate liability is a range, wherein the range is estimated by a range radius, and wherein the range radius is adjusted by a snap-to radius.

302. The method ofclaim 284, wherein the computer system is further configured to access a different memory containing information useful for determining a right of way for the vehicle the real accident.

303. The method ofclaim 284, wherein the computer system is further configured to access a different memory containing information about laws in a jurisdiction applicable to the real accident.

304. The method ofclaim 284, wherein the computer system is further configured to access a different memory containing information useful for determining a right of way for the vehicle in the real accident, and wherein the computer system is further configured to determine the right of way for the vehicle in the real accident.

305. A method of estimating liability for an accident, comprising:

providing to a computer system a real set of characteristics a real accident, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident, a roadway configuration at a location of the real accident, and an accident type of the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein the sets of characteristics for the past or theoretical accidents comprise a right of way for a vehicle in one of the past or theoretical accidents, a roadway configuration at a location of the one of the past or theoretical accidents, and an accident type of the one of the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics for the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

306. The method ofclaim 305, wherein the memory comprises a database, and wherein the sets of characteristics for the past or theoretical accidents are stored in the database.

307. The method ofclaim 305, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles.

308. The method ofclaim 305, wherein the real accident comprises a collision involving the vehicle in the real accident and one or more other vehicles, and wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least the vehicle or the one or more other vehicles in the real accident.

309. The method ofclaim 305, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles, and wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least vehicle or the one or more other vehicles in the real accident and for one or more additional parties, wherein the one or more additional parties contributed to the real accident.

310. The method ofclaim 305, wherein the estimate of liability is expressed as a percentage.

311. The method ofclaim 305, wherein the estimate of liability is expressed as a range of liability.

312. The method ofclaim 305, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

313. The method ofclaim 305, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

314. The method ofclaim 305, wherein the real set of characteristics further comprises an impact point for the vehicle in the real accident.

315. The method ofclaim 314, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

316. The method ofclaim 305, wherein the real set of characteristics further comprises an impact point for the vehicle in the real accident and one or more other vehicles in the real accident.

317. The method ofclaim 316, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

318. The method ofclaim 305, wherein determining an estimate of liability comprises determining a base liability estimate and one or more factor estimates, the method further comprising determining a final liability estimate based on the base liability estimate and the one or more factor estimates.

319. The method ofclaim 318, wherein the one or more factor estimates comprise an estimate of an effect on liability of a factor, and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

320. The method ofclaim 305, wherein the accident further comprises a collision of the vehicle and one or more other vehicles, wherein the computer system is further configured to determine at least one factor estimate, wherein the at least one factor estimate comprise an estimate of an effect on liability of a factor, and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

321. The method ofclaim 305, wherein the estimate of liability is a range, and wherein the range is estimated by a range radius.

322. The method ofclaim 305, wherein the estimate liability is a range, wherein the range is estimated by a range radius, and wherein the range radius is adjusted by a snap-to radius.

323. The method ofclaim 305, wherein the computer system is further configured to access a different memory containing information useful for determining the right of way for the vehicle in the real accident.

324. The method ofclaim 305, wherein the computer system is further configured to access a different memory containing information about laws in a jurisdiction applicable to the real accident.

325. The method ofclaim 305, wherein the computer system is further configured to access a different memory containing information useful for determining the right of way for the vehicle in the real accident, and wherein the computer system is further configured to determine the right of way for the vehicle in the real accident.

326. A method of estimating liability for an accident, comprising:

providing to a computer system a real set of characteristics of a real accident, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident, a roadway configuration at a location of the real accident, and an impact point of the vehicle in the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein the sets of characteristics for the past or theoretical accidents comprise a right of way for a vehicle in one of the past or theoretical accidents, a roadway configuration at a location of the one of the past or theoretical accidents, and an impact point of the vehicle in the one of the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics for the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics for the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

327. The method ofclaim 326, wherein the memory comprises a database, and wherein the sets of characteristics for the past or theoretical accidents are stored in the database.

328. The method ofclaim 326, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles.

329. The method ofclaim 326, wherein the real accident comprises a collision involving the vehicle in the real accident and one or more other vehicles, and wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least the vehicle or the one or more other vehicles in the real accident.

330. The method ofclaim 326, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles, and wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least vehicle or the one or more other vehicles in the real accident and for one or more additional parties, wherein the one or more additional parties contributed to the real accident.

331. The method ofclaim 326, wherein the estimate of liability is expressed as a percentage.

332. The method ofclaim 326, wherein the estimate of liability is expressed as a range of liability.

333. The method ofclaim 326, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

334. The method ofclaim 326, wherein the real set of characteristics further comprises an accident type of the real accident.

335. The method ofclaim 334, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

336. The method ofclaim 326, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

337. The method ofclaim 326, wherein determining an estimate of liability comprises determining a base liability estimate and one or more factor estimates, the method further comprising determining a final liability estimate based on the base liability estimate and the one or more factor estimates.

338. The method ofclaim 337, wherein the one or more factor estimates comprise an estimate of an effect on liability of a factor, and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

339. The method ofclaim 326, wherein the accident further comprises a collision of the vehicle and one or more other vehicles, wherein the computer system is further configured to determine at least one factor estimate, wherein the at least one factor estimate comprise an estimate of an effect on liability of a factor, and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

340. The method ofclaim 326, wherein the estimate of liability is a range, and wherein the range is estimated by a range radius.

341. The method ofclaim 326, wherein the estimate liability is a range, wherein the range is estimated by a range radius, and wherein the range radius is adjusted by a snap-to radius.

342. The method ofclaim 326, wherein the computer system is further configured to access a different memory containing information useful for determining the right of way for the vehicle in the real accident.

343. The method ofclaim 326, wherein the computer system is further configured to access a different memory containing information about laws in a jurisdiction applicable to the real accident.

344. The method ofclaim 326, wherein the computer system is further configured to access a different memory containing information useful for determining the right of way for the vehicle involved in the real accident, and wherein the computer system is further configured to determine the right of way for the vehicle.

345. A method of estimating liability for an accident, comprising:

providing to a computer system a real set of characteristics of a real accident, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident, an accident type of the real accident, and an impact point of the vehicle in the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein the characteristics for the past or theoretical accidents comprise a right of way for a vehicle in one of the past or theoretical accidents, an accident type of the one of the past or theoretical accidents, and an impact point of the vehicle in the one or the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

346. The method ofclaim 345, wherein the memory comprises a database, and wherein the sets of characteristics for the past or theoretical accidents are stored in the database.

347. The method ofclaim 345, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles.

348. The method ofclaim 345, wherein the real accident comprises a collision involving the vehicle in the real accident and one or more other vehicles, and wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least the vehicle or the one or more other vehicles in the real accident.

349. The method ofclaim 345, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles, and wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least vehicle or the one or more other vehicles in the real accident and for one or more additional parties, wherein the one or more additional parties contributed to the real accident.

350. The method ofclaim 345, wherein the estimate of liability is expressed as a percentage.

351. The method ofclaim 345, wherein the estimate of liability is expressed as a range of liability.

352. The method ofclaim 345, wherein the real set of characteristics further comprises a roadway configuration at a location of the real accident.

353. The method ofclaim 352, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

354. The method ofclaim 345, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

355. The method ofclaim 345, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

356. The method ofclaim 345, wherein determining an estimate of liability comprises determining a base liability estimate and one or more factor estimates, the method further comprising determining a final liability estimate based on the base liability estimate and the one or more factor estimates.

357. The method ofclaim 356, wherein the one or more factor estimates comprise an estimate of an effect on liability of a factor, and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

358. The method ofclaim 345, wherein the accident further comprises a collision of the vehicle and one or more other vehicles, wherein the computer system is further configured to determine at least one factor estimate, wherein the at least one factor estimate comprise an estimate of an effect on liability of a factor, and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

359. The method ofclaim 345, wherein the estimate of liability is a range, and wherein the range is estimated by a range radius.

360. The method ofclaim 345, wherein the estimate liability is a range, wherein the range is estimated by a range radius, and wherein the range radius is adjusted by a snap-to radius.

361. The method ofclaim 345, wherein the computer system is further configured to access a different memory containing information useful for determining the right of way for the vehicle.

362. The method ofclaim 345, wherein the computer system is further configured to access a different memory containing information about laws in a jurisdiction applicable to the real accident.

363. The method ofclaim 345, wherein the computer system is further configured to access a different memory containing information useful for determining the right of way for the vehicle in the real accident, and wherein the computer system is further configured to determine the right of way for the vehicle.

364. A method of estimating liability for an accident, comprising:

providing to a computer system a real set of characteristics of a real accident, wherein the real set of characteristics comprises a roadway configuration at a location of the real accident of the real accident, an accident type of the real accident, and an impact point of a vehicle in the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein the sets of characteristics for the past or theoretical accidents comprise a roadway configuration at a location of one of the past or theoretical accidents, an accident type of the one of the past or theoretical accidents, and an impact point of a vehicle in the one of the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics for the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics for the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

365. The method ofclaim 364, wherein the memory comprises a database, and wherein the sets of characteristics for the past or theoretical accidents are stored in the database.

366. The method ofclaim 364, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles.

367. The method ofclaim 364, wherein the real accident comprises a collision involving the vehicle in the real accident and one or more other vehicles, and wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least the vehicle or the one or more other vehicles in the real accident.

368. The method ofclaim 364, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles, and wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least vehicle or the one or more other vehicles in the real accident and for one or more additional parties, wherein the one or more additional parties contributed to the real accident.

369. The method ofclaim 364, wherein the estimate of liability is expressed as a percentage.

370. The method ofclaim 364, wherein the estimate of liability is expressed as a range of liability.

371. The method ofclaim 364, wherein the real set of characteristics further comprises a right of way for the vehicle in the real accident.

372. The method ofclaim 364, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

373. The method ofclaim 364, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

374. The method ofclaim 364, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

375. The method ofclaim 364, wherein determining an estimate of liability comprises determining a base liability estimate and one or more factor estimates, the method further comprising determining a final liability estimate based on the base liability estimate and the one or more factor estimates.

376. The method ofclaim 375, wherein the one or more factor estimates comprise an estimate of an effect on liability of a factor, and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

377. The method ofclaim 364, wherein the accident further comprises a collision of the vehicle and one or more other vehicles, wherein the computer system is further configured to determine at least one factor estimate, wherein the at least one factor estimate comprise an estimate of an effect on liability of a factor, and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

378. The method ofclaim 364, wherein the estimate of liability is a range, and wherein the range is estimated by a range radius.

379. The method ofclaim 364, wherein the estimate liability is a range, wherein the range is estimated by a range radius, and wherein the range radius is adjusted by a snap-to radius.

380. The method ofclaim 364, wherein the computer system is further configured to access a different memory containing information useful for determining a right of way for the vehicle in the real accident.

381. The method ofclaim 364, wherein the computer system is further configured to access a different memory containing information about laws in a jurisdiction applicable to the real accident.

382. The method ofclaim 364, wherein the computer system is further configured to access a different memory containing information useful for determining a right of way for the vehicle in the real accident, and wherein the computer system is further configured to determine the right of way for the vehicle in the real accident.

383. A method of estimating liability for an accident, comprising:

providing to a computer system a real set of characteristics of a real accident, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident, a roadway configuration at a location of the real accident, an accident type of the real accident, and an impact point of the vehicle in the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein the sets of characteristics for the past or theoretical accidents comprise a right of way for a vehicle in one of the past or theoretical accidents, a roadway configuration at a location of the one or the past or theoretical accidents, an accident type of the one of the past or theoretical accidents, and an impact point of the vehicle in the one of the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics for the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics for the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

384. The method ofclaim 383, wherein the memory comprises a database, and wherein the sets of characteristics for the past or theoretical accidents are stored in the database.

385. The method ofclaim 383, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles.

386. The method ofclaim 383, wherein the real accident comprises a collision involving the vehicle in the real accident and one or more other vehicles, and wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least the vehicle or the one or more other vehicles in the real accident.

387. The method ofclaim 383, wherein the real accident comprises a collision involving the vehicle and one or more other vehicles, and wherein determining an estimate of liability comprises determining an estimate of liability for a driver of at least vehicle or the one or more other vehicles in the real accident and for one or more additional parties, wherein the one or more additional parties contributed to the real accident.

388. The method ofclaim 383, wherein the estimate of liability is expressed as a percentage.

389. The method ofclaim 383, wherein the estimate of liability is expressed as a range of liability.

390. The method ofclaim 383, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

391. The method ofclaim 383, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

392. The method ofclaim 383, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

393. The method ofclaim 383, wherein determining an estimate of liability comprises determining a base liability estimate and one or more factor estimates, the method further comprising determining a final liability estimate based on the base liability estimate and the one or more factor estimates.

394. The method ofclaim 393, wherein the one or more factor estimates comprise an estimate of an effect on liability of a factor, and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

395. The method ofclaim 383, wherein the accident further comprises a collision of the vehicle and one or more other vehicles, wherein the computer system is further configured to determine at least one factor estimate, wherein the at least one factor estimate comprise an estimate of an effect on liability of a factor, and wherein the factor is selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

396. The method ofclaim 383, wherein the estimate of liability is a range, and wherein the range is estimated by a range radius.

397. The method ofclaim 383, wherein the estimate liability is a range, wherein the range is estimated by a range radius, and wherein the range radius is adjusted by a snap-to radius.

398. The method ofclaim 383, wherein the computer system is further configured to access a different memory containing information useful for determining the right of way for the vehicle in the real accident.

399. The method ofclaim 383, wherein the computer system is further configured to access a different memory containing information about laws in a jurisdiction applicable to the real accident.

400. The method ofclaim 383, wherein the computer system is further configured to access a different memory containing information useful for determining the right of way for the vehicle in the real accident, and wherein the computer system is further configured to determine the right of way for the vehicle in the real accident.

401. A system configured to estimate liability, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing to the computer system a real set of characteristics of a real accident, wherein the data memory comprises sets of characteristics for past or theoretical accidents, and wherein each of the sets of characteristics for past or theoretical accidents is associated with an estimate of liability;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

402. A system configured to estimate liability, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing to the computer system a real set of characteristics relating to a real accident, wherein at least one of the real set of characteristics comprises a right of way for a vehicle in the real accident;

wherein the data memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the sets of characteristics for the for past or theoretical accidents comprises a right of way for a vehicle in one of the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

403. A system configured to estimate liability, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing to the computer system a real set of characteristics relating to a real accident, wherein at least one of the real set of characteristics comprises a roadway configuration at a location of the real accident;

wherein the data memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the sets of characteristics for the for past or theoretical accidents comprises a roadway configuration at a location of one of the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

404. A system configured to estimate liability, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing to the computer system a real set of characteristics relating to a real accident, wherein at least one of the real set of characteristics comprises an accident type of the real accident;

wherein the data memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the sets of characteristics for the for past or theoretical accidents comprises an accident type of one of the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

405. A system configured to estimate liability, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing to the computer system a real set of characteristics relating to a real accident, wherein at least one of the real set of characteristics comprises an impact point for a vehicle involved in the real accident;

wherein the data memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the sets of characteristics for the for past or theoretical accidents comprises an impact point for a vehicle in the one past or theoretical accident;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

406. A system configured to estimate liability, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing to the computer system a real set of characteristics relating to a real accident, wherein at least one of the real set of characteristics comprises a right of way for a vehicle in the real accident and a roadway configuration at the location of the real accident;

wherein the data memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the sets of characteristics for the for past or theoretical accidents comprises a right of way for a vehicle in the one of the past or theoretical accidents and a roadway configuration at the location of the one past or theoretical accident;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

407. A system configured to estimate liability, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing to the computer system a real set of characteristics relating to a real accident, wherein at least one of the real set of characteristics comprises a right of way for a vehicle in the real accident and an accident type of the real accident;

wherein the data memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the sets of characteristics for the for past or theoretical accidents comprises a right of way for a vehicle in one of the past or theoretical accidents and an accident type of the one past or theoretical accident;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

408. A system configured to estimate liability, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing to the computer system a real set of characteristics relating to a real accident, wherein at least one of the real set of characteristics comprises a right of way for a vehicle in the real accident and an impact point of the vehicle in the real accident;

wherein the data memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the sets of characteristics for the for past or theoretical accidents comprises a right of way for a vehicle in one of the past or theoretical accidents and an impact point of the vehicle in the one past or theoretical accident;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

409. A system configured to estimate liability, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing to the computer system a real set of characteristics relating to a real accident, wherein at least one of the real set of characteristics comprises a roadway configuration at a location of the real accident and an accident type of the real accident;

wherein the data memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the sets of characteristics for the for past or theoretical accidents comprises a roadway configuration at a location of one of the past or theoretical accidents and an accident type of the one past of theoretical accident;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

410. A system configured to estimate liability, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing to the computer system a real set of characteristics relating to a real accident, wherein at least one of the real set of characteristics comprises a roadway configuration at a location of the real accident and an impact point of a vehicle in the real accident;

wherein the data memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the sets of characteristics for the for past or theoretical accidents comprises a roadway configuration at a location of one of the past or theoretical accidents and an impact point of a vehicle in the one past or theoretical accident;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

411. A system configured to estimate liability, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing to the computer system a real set of characteristics relating to a real accident, wherein at least one of the real set of characteristics comprises an accident type of the real accident and an impact point of a vehicle in the real accident;

wherein the data memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the sets of characteristics for the for past or theoretical accidents comprises an accident type of one of the past or theoretical accidents and an impact point of a vehicle in the one past or theoretical accident;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

412. A system configured to estimate liability, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing to the computer system a real set of characteristics relating to a real accident, wherein at least one of the real set of characteristics comprises a right of way for a vehicle in the real accident, a roadway configuration at a location of the real accident, and an accident type of the real accident;

wherein the data memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the sets of characteristics for the for past or theoretical accidents comprises a right of way for a vehicle in one of the past or theoretical accidents, a roadway configuration at a location of the one of the past or theoretical accidents, and an accident type of the one of the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

413. A system configured to estimate liability, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing to the computer system a real set of characteristics relating to a real accident, wherein at least one of the real set of characteristics comprises a right of way for a vehicle in the real accident, a roadway configuration at a location of the real accident, and an impact point of the vehicle in the real accident;

wherein the data memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the sets of characteristics for the for past or theoretical accidents comprises a right of way for a vehicle in one of the past or theoretical accidents, a roadway configuration at a location of the one of the past or theoretical accidents, and an impact point of the vehicle in the one of the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

414. A system configured to estimate liability, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing to the computer system a real set of characteristics relating to a real accident, wherein at least one of the real set of characteristics comprises a right of way for a vehicle in the real accident, an impact point of the vehicle in the real accident, and an accident type of the real accident;

wherein the data memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the sets of characteristics for the for past or theoretical accidents comprises a right of way for a vehicle in one of the past or theoretical accidents, an impact point of the vehicle in the one of the past or theoretical accidents, and an accident type of the one of the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

415. A system configured to estimate liability, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing to the computer system a real set of characteristics relating to a real accident, wherein at least one of the real set of characteristics comprises a roadway configuration at a location of the real accident, an impact point of a vehicle in the real accident, and an accident type of the real accident;

wherein the data memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the sets of characteristics for the for past or theoretical accidents comprises a roadway configuration at a location of the one of the past or theoretical accidents, an impact point of a vehicle in the one of the past or theoretical accidents, and an accident type of the one of the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

416. A system configured to estimate liability, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing to the computer system a real set of characteristics relating to a real accident, wherein at least one of the real set of characteristics comprises a right of way for a vehicle in the real accident, a roadway configuration at a location of the real accident, an impact point of the vehicle in the real accident, and an accident type of the real accident;

wherein the data memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the sets of characteristics for the for past or theoretical accidents comprises a right of way for a vehicle in one of the past or theoretical accidents, a roadway configuration at a location of the one of the past or theoretical accidents, an impact point of the vehicle in the one of the past or theoretical accidents, and an accident type of the one of the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

417. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method for estimating liability for an accident, the method comprising:

providing to a computer system a real set of characteristics of a real accident;

wherein the computer system is configured to access a memory, and wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

418. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method for estimating liability for an accident, the method comprising:

providing to a computer system a real set of characteristics relating to a real accident, wherein at least one of the real set of characteristics comprises a right of way for a vehicle in the accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the sets of characteristics for the past or theoretical accidents comprises a right of way for a vehicle in the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

419. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method for estimating liability for an accident, the method comprising:

providing to a computer system a real set of characteristics relating to a real accident, wherein at least one of the real set of characteristics comprises a roadway configuration at the location of the real vehicle accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the sets of characteristics for the past or theoretical accidents comprises a roadway configuration at the location of one of the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

420. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method for estimating liability for an accident, the method comprising:

providing to a computer system a real set of characteristics relating to a real accident, wherein at least one of the real set of characteristics comprises an accident type;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the sets of characteristics for the past or theoretical accidents comprises an accident type of the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

421. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method for estimating liability for an accident, the method comprising:

providing to a computer system a real set of characteristics relating to a real accident, wherein at least one of the real set of characteristics comprises an impact point for a vehicle involved in the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the sets of characteristics for the past or theoretical accidents comprises an impact point for a vehicle involved in one of the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

422. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method for estimating liability for an accident, the method comprising:

providing to a computer system a real set of characteristics relating to a real accident, wherein at least two of the set of real characteristics comprise a right of way for a vehicle in the real accident and a roadway configuration at the location of the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least two of the sets of characteristics for the past or theoretical accidents comprise a right of way for a vehicle in one of the past or theoretical accidents and a roadway configuration at the location of the past or theoretical accident;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

423. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method for estimating liability for an accident, the method comprising:

providing to a computer system a real set of characteristics relating to a real accident, wherein at least two of the real set of characteristics comprise a right of way for a vehicle in the real accident and an accident type of the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least two of the sets of characteristics for the past or theoretical accidents comprise a right of way for a vehicle in the past or theoretical accident and an accident type of the past or theoretical accident;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

424. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method for estimating liability for an accident, the method comprising:

providing to a computer system a real set of characteristics relating to a real accident, wherein at least two of the real set of characteristics comprise a right of way for a vehicle in the real accident and an impact point of the vehicle in the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least two of the sets of characteristics for the past or theoretical accidents comprise a right of way for a vehicle in one of the past or theoretical accidents and an impact points of the vehicle in the one past or theoretical accident;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

425. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method for estimating liability for an accident, the method comprising:

providing to a computer system a real set of characteristics relating to a real accident, wherein at least two of the real set of characteristics comprise a roadway configuration at a location of the real accident and an accident type of the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least two of the sets of characteristics comprise a roadway configuration at a location of one of the past or theoretical accidents and an accident type of the past or theoretical accident;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

426. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method for estimating liability for an accident, the method comprising:

providing to a computer system a real set of characteristics relating to a real accident, wherein at least two of the real set of characteristics comprise a roadway configuration at a location of the real accident and an impact points of a vehicle in the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with an estimate of liability, and wherein at least two of the characteristics for the past or theoretical accidents comprises a roadway configuration at a location of one of the past or theoretical accidents and an impact point of a vehicle in the one past or theoretical accident;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

427. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method for estimating liability for an accident, the method comprising:

providing to a computer system a real set of characteristics of a real accident, wherein the real set of characteristics comprises an accident type of the real accident and an impact point of a vehicle in the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein the sets of characteristics of the past or theoretical accidents comprise an accident type of one of the past or theoretical accidents and an impact point of a vehicle in the one past or theoretical accident;

comparing the real set of characteristics to the sets of characteristics for the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

428. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method for estimating liability for an accident, the method comprising:

providing to a computer system a real set of characteristics a real accident, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident, a roadway configuration at a location of the real accident, and an accident type of the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein the sets of characteristics for the past or theoretical accidents comprise a right of way for a vehicle in one of the past or theoretical accidents, a roadway configuration at a location of the one of the past or theoretical accidents, and an accident type of the one of the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics for the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

429. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method for estimating liability for an accident, the method comprising:

providing to a computer system a real set of characteristics of a real accident, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident, a roadway configuration at a location of the real accident, and an impact point of the vehicle in the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein the sets of characteristics for the past or theoretical accidents comprise a right of way for a vehicle in one of the past or theoretical accidents, a roadway configuration at a location of the one of the past or theoretical accidents, and an impact point of the vehicle in the one of the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics for the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics for the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

430. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method for estimating liability for an accident, the method comprising:

providing to a computer system a real set of characteristics of a real accident, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident, an accident type of the real accident, and an impact point of the vehicle in the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein the characteristics for the past or theoretical accidents comprise a right of way for a vehicle in one of the past or theoretical accidents, an accident type of the one of the past or theoretical accidents, and an impact point of the vehicle in the one or the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics relating to the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics relating to the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

431. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method for estimating liability for an accident, the method comprising:

providing to a computer system a real set of characteristics of a real accident, wherein the real set of characteristics comprises a roadway configuration at a location of the real accident of the real accident, an accident type of the real accident, and an impact point of a vehicle in the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein the sets of characteristics for the past or theoretical accidents comprise a roadway configuration at a location of one of the past or theoretical accidents, an accident type of the one of the past or theoretical accidents, and an impact point of a vehicle in the one of the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics for the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics for the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

432. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method for estimating liability for an accident, the method comprising:

providing to a computer system a real set of characteristics of a real accident, wherein the real set of characteristics comprises a right of way for a vehicle in the real accident, a roadway configuration at a location of the real accident, an accident type of the real accident, and an impact point of the vehicle in the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein the sets of characteristics for the past or theoretical accidents comprise a right of way for a vehicle in one of the past or theoretical accidents, a roadway configuration at a location of the one or the past or theoretical accidents, an accident type of the one of the past or theoretical accidents, and an impact point of the vehicle in the one of the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics for the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics for the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of liability associated with the nearest matching set of characteristics.

433. A method of estimating liability for an accident, comprising:

providing to a computer system a real set of characteristics of a real accident;

wherein the computer system is configured to access a memory, and wherein the memory comprises sets of characteristics for past or theoretical accidents;

determining a theoretical right of way in the real accident from at least one characteristic of the real set of characteristics; and

wherein the computer system is further configured to correlate the theoretical right of way and the real set of characteristics to a right of way for the past or theoretical accidents and the sets of characteristics for the past or theoretical accidents and to estimate a base liability for the real accident based on a correlation of the computer system.

434. The method ofclaim 433, wherein the real set of characteristics comprises a roadway configuration of the real accident.

435. The method ofclaim 434, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

436. The method ofclaim 433, wherein the real set of characteristics comprises an accident type of the real accident.

437. The method ofclaim 436, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

438. The method ofclaim 433, wherein the real set of characteristics comprises an impact point for a vehicle in the real accident.

439. The method ofclaim 438, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

440. The method ofclaim 433, wherein the real set of characteristics comprises a traffic control.

441. The method ofclaim 433, wherein the real set of characteristics comprises a traffic control, and wherein the traffic control is selected from the group consisting of a red light, a yellow light, a green light, a left turn arrow, a right turn arrow, a stop sign, a yield sign, a flashing red light, a flashing yellow light, a police officer signaling stop, a police officer signaling proceed, a crossing guard signaling proceed, a crossing guard signaling stop, a flagger signaling proceed, a flagger signaling stop, another person signaling proceed, another person signaling stop, an emergency vehicle, and a school bus.

442. The method ofclaim 433, wherein the at least one characteristic comprises an accident type of the real accident.

443. The method ofclaim 442, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

444. The method ofclaim 433, wherein the at least one characteristic comprises a traffic control.

445. The method ofclaim 444, wherein the traffic control is selected from the group consisting of a red light, a yellow light, a green light, a left turn arrow, a right turn arrow, a stop sign, a yield sign, a flashing red light, a flashing yellow light, a police officer signaling stop, a police officer signaling proceed, a crossing guard signaling proceed, a crossing guard signaling stop, a flagger signaling proceed, a flagger signaling stop, another person signaling proceed, another person signaling stop, an emergency vehicle, and a school bus.

446. The method ofclaim 433, wherein the real characteristics used by the computer system to determine a theoretical right of way in the vehicle accident comprise at least an accident type.

447. The method ofclaim 446, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

448. The method ofclaim 433, wherein the at least one characteristic comprises a jurisdiction.

449. The method ofclaim 433, wherein the at least one characteristic comprises a jurisdiction, and wherein the jurisdiction comprises a state or a territory of the United States.

450. The method ofclaim 433, wherein the at least one characteristic comprises a traffic control and an accident type.

451. The method ofclaim 433, wherein the at least one characteristic comprises a traffic control and an accident type, and wherein the traffic control is selected from the group consisting of a red light, a yellow light, a green light, a left turn arrow, a right turn arrow, a stop sign, a yield sign, a flashing red light, a flashing yellow light, a police officer signaling stop, a police officer signaling proceed, a crossing guard signaling proceed, a crossing guard signaling stop, a flagger signaling proceed, a flagger signaling stop, another person signaling proceed, another person signaling stop, an emergency vehicle, and a school bus.

452. The method ofclaim 433, wherein the at least one characteristic comprises a traffic control and an accident type, and wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

453. The method ofclaim 433, wherein the at least one characteristic comprises at least a traffic control and a jurisdiction.

454. The method ofclaim 433, wherein the at least one characteristic comprises at least a traffic control and a jurisdiction, and wherein the jurisdiction comprises a state or a territory of the United States.

455. The method ofclaim 433, wherein the at least one characteristic comprises at least a traffic control and a jurisdiction, and wherein the traffic control is selected from the group consisting of a red light, a yellow light, a green light, a left turn arrow, a right turn arrow, a stop sign, a yield sign, a flashing red light, a flashing yellow light, a police officer signaling stop, a police officer signaling proceed, a crossing guard signaling proceed, a crossing guard signaling stop, a flagger signaling proceed, a flagger signaling stop, another person signaling proceed, another person signaling stop, an emergency vehicle, and a school bus.

456. The method ofclaim 433, wherein the at least one characteristic comprises an accident type and a jurisdiction.

457. The method ofclaim 433, wherein the at least one characteristic comprises an accident type and a jurisdiction, and wherein the jurisdiction comprises a state or territory of the United States.

458. The method ofclaim 433, wherein the at least one characteristic comprises an accident type and a jurisdiction, and wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

459. The method ofclaim 433, wherein the at least one characteristic comprises a right of way and at least a roadway configuration.

460. The method ofclaim 433, wherein the at least one characteristic comprises a right of way and at least a roadway configuration, and wherein the roadway configuration is selected from the group consisting of two or more lane road, a divided road with a median that can be crossed, four-way intersection, T-angle intersection with a T-angle that may vary, the merging of one roadway into another with no turns and in one direction, curve, parking lot with two-way traffic, parking lot with one way traffic, center turn lane, and two or more lane road divided by a physical barrier.

461. The method ofclaim 433, wherein the at least one characteristic comprises a right of way and at least an accident type.

462. The method ofclaim 433, wherein the at least one characteristic comprises a right of way and at least an accident type, and wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

463. The method ofclaim 433, wherein at least one characteristic comprises a right of way and at least an accident type.

464. The method ofclaim 433, wherein at least one characteristic comprises a right of way and at least an accident type, and wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from Tight, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

465. The method ofclaim 433, wherein at least one characteristic comprises a right of way and at least impact points of each vehicle involved in the real accident.

466. The method ofclaim 433, wherein at least one characteristic comprises a right of way and at least impact points of each vehicle involved in the real accident, and wherein each of the impact points comprises one of the following: right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

467. The method ofclaim 433, wherein at least one characteristic comprises a right of way and at least a roadway configuration and an accident type.

468. The method ofclaim 433, wherein at least one characteristic comprises a right of way and at least a roadway configuration and an accident type, and wherein the roadway configuration is selected from the group consisting of two or more lane road, a divided road with a median that can be crossed, four-way intersection, T-angle intersection with a T-angle that may vary, the merging of one roadway into another with no turns and in one direction, curve, parking lot with two-way traffic, parking lot with one way traffic, center turn lane, and two or more lane road divided by a physical barrier.

469. The method ofclaim 433, wherein at least one characteristic comprises a right of way and at least a roadway configuration and an accident type, and wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

470. The method ofclaim 433, wherein at least one characteristic comprises a right of way, a roadway configuration, and an impact point of a vehicle in the real accident.

471. The method ofclaim 433, wherein at least one characteristic comprises a right of way, a roadway configuration, and an impact point of a vehicle in the real accident, and wherein the roadway configuration is selected from the group consisting of two or more lane road, a divided road with a median that can be crossed, four-way intersection, T-angle intersection with a T-angle that may vary, the merging of one roadway into another with no turns and in one direction, curve, parking lot with two-way traffic, parking lot with one way traffic, center turn lane, and two or more lane road divided by a physical barrier.

472. The method ofclaim 433, wherein at least one characteristic comprises a right of way, a roadway configuration, and an impact point of a vehicle in the real accident, and wherein each of the impact points is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

473. The method ofclaim 433, wherein at least one characteristic comprises a right of way, an accident type, and an impact point of a vehicle in the real accident.

474. The method ofclaim 433, wherein at least one characteristic comprises a right of way, an accident type, and an impact point of a vehicle in the real accident, and wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

475. The method ofclaim 433, wherein at least one characteristic comprises a right of way, an accident type, and an impact point of a vehicle in the real accident, and wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

476. The method ofclaim 433, wherein at least one characteristic comprises a right of way, a roadway configuration, an accident type, and an impact point of a vehicle in the real accident.

477. The method ofclaim 433, wherein at least one characteristic comprises a right of way, a roadway configuration, an accident type, and an impact point of a vehicle in the real accident, and wherein the roadway configuration is selected from the group consisting of two or more lane road, a divided road with a median that can be crossed, four-way intersection, T-angle intersection with a T-angle that may vary, the merging of one roadway into another with no turns and in one direction, curve, parking lot with two-way traffic, parking lot with one way traffic, center turn lane, and two or more lane road divided by a physical barrier.

478. The method ofclaim 433, wherein at least one characteristic comprises a right of way, a roadway configuration, an accident type, and an impact point of a vehicle in the real accident, and wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

479. The method ofclaim 433, wherein at least one characteristic comprises a right of way, a roadway configuration, an accident type, and an impact point of a vehicle in the real accident, and wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

480. A system for estimating liability, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing to the computer system a real set of characteristics of a real vehicle accident;

wherein the data memory comprises sets of characteristics for past or theoretical accidents;

determining a theoretical right of way in the real accident from at least one characteristic of the real set of characteristics; and

correlating the theoretical right of way and the real set of characteristics to a right of way for the past or theoretical accidents and the sets of characteristics for the past or theoretical accidents to estimate a base liability for the real accident.

481. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method for estimating liability for a vehicle accident, the method comprising:

providing to a computer system a real set of characteristics of a real accident;

wherein the computer system is configured to access a memory, and wherein the memory comprises sets of characteristics for past or theoretical accidents;

determining a theoretical right of way in the real accident from at least one characteristic of the real set of characteristics; and

wherein the computer system is further configured to correlate the theoretical right of way and the real set of characteristics to a right of way for the past or theoretical accidents and the sets of characteristics for the past or theoretical accidents and to estimate a base liability for the real accident based on a correlation of the computer system.

482. A method of estimating liability for a vehicle accident, comprising:

estimating a base liability of a party in a vehicle accident with a computer system;

estimating an effect of one or more factors on the base liability of the party with the computer system; and

determining an estimate of liability of the party with the estimated of base liability and the estimated effect of the one or more factors on the base liability.

483. The method ofclaim 482, wherein the base liability is a portion of the liability independent of the one or more factors, and wherein the one or more factors are specific to conditions of vehicles in the vehicle accident, conditions of drivers in the vehicle accident, actions of drivers in the vehicle accident, or environmental conditions common to vehicles in the vehicle accident.

484. The method ofclaim 482, wherein estimating the base liability comprises estimating the base liability from at least one characteristic of a real set of characteristics of the vehicle accident.

485. The method ofclaim 482, wherein estimating the base liability comprises estimating the base liability from at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises a right of way for a vehicle in the vehicle accident.

486. The method ofclaim 482, wherein estimating the base liability comprises estimating the base liability from at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises a roadway configuration at the location of the vehicle accident.

487. The method ofclaim 482, wherein estimating the base liability comprises estimating the base liability from at least one characteristic of a real set of characteristics of the vehicle accident, wherein the at least one characteristic comprises a roadway configuration at the location of the vehicle accident, and wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

488. The method ofclaim 482, wherein estimating the base liability comprises estimating the base liability from at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises an accident type of the vehicle accident.

489. The method ofclaim 488, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

490. The method ofclaim 482, wherein estimating the base liability comprises estimating the base liability from at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises an impact point of a vehicle in the vehicle accident.

491. The method ofclaim 490, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

492. The method ofclaim 482, wherein estimating the base liability comprises estimating the base liability from at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises a right of way for a vehicle in the vehicle accident and a roadway configuration at a location of the vehicle accident.

493. The method ofclaim 492, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

494. The method ofclaim 482, wherein estimating the base liability comprises estimating the base liability from at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises a right of way for a vehicle in the vehicle accident and an accident type of the vehicle accident.

495. The method ofclaim 494, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

496. The method ofclaim 482, wherein estimating the base liability comprises estimating the base liability from at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises a right of way for a vehicle in the vehicle accident and an impact point of a vehicle in the vehicle accident.

497. The method ofclaim 496, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

498. The method ofclaim 482, wherein estimating the base liability comprises estimating the base liability from at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises a roadway configuration at a location of the vehicle accident and an accident type of the vehicle accident.

499. The method ofclaim 498, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

500. The method ofclaim 498, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

501. The method ofclaim 482, wherein estimating the base liability comprises estimating the base liability from at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises a roadway configuration at a location of the vehicle accident and a impact point of a vehicle in the vehicle accident.

502. The method ofclaim 501, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

503. The method ofclaim 501, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

504. The method ofclaim 482, wherein estimating the base liability comprises estimating the base liability from at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises an accident type of the vehicle accident and an impact point of a vehicle in the vehicle accident.

505. The method ofclaim 504, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

506. The method ofclaim 504, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

507. The method ofclaim 482, wherein estimating the base liability comprises estimating the base liability from at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises a right of way for a vehicle in the vehicle accident, a roadway configuration at a location of the vehicle accident, and an accident type of the vehicle accident.

508. The method ofclaim 507, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

509. The method ofclaim 507, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

510. The method ofclaim 482, wherein estimating the base liability comprises estimating the base liability from at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises a right of way for a vehicle in the vehicle accident, a roadway configuration at a location of the vehicle accident, and an impact point of a vehicle in the vehicle accident.

511. The method ofclaim 510, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

512. The method ofclaim 510, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

513. The method ofclaim 482, wherein estimating the base liability comprises estimating the base liability from at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises a right of way for a vehicle in the vehicle accident, an accident type of the vehicle accident, and an impact point of a vehicle in the vehicle accident.

514. The method ofclaim 513, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

515. The method ofclaim 513, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

516. The method ofclaim 482, wherein estimating the base liability comprises estimating the base liability from at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises a roadway configuration at a location of the vehicle accident, an accident type of the vehicle accident, and an impact point of a vehicle in the vehicle accident.

517. The method ofclaim 516, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

518. The method ofclaim 516, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

519. The method ofclaim 516, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

520. The method ofclaim 482, wherein estimating the base liability comprises estimating the base liability from at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises a right of way for a vehicle in the vehicle accident, a roadway configuration at a location of the vehicle accident, an accident type of the vehicle accident, and an impact point of a vehicle in the vehicle accident.

521. The method ofclaim 520, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

522. The method ofclaim 520, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

523. The method ofclaim 520, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

524. The method ofclaim 482, wherein the one or more factors are selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

525. The method ofclaim 482, further comprising adjusting the one or more factors with a situational weight.

526. The method ofclaim 482, further comprising adjusting the one or more factors with a situational weight, and estimating the situational weight from circumstances relating to the vehicle accident.

527. The method ofclaim 482, further comprising adjusting the one or more factors with a situational weight, and estimating the situational weight from knowledge obtained from experienced claims adjusters.

528. The method ofclaim 482, further comprising adjusting the one or more factors with a ranking factor.

529. The method ofclaim 482, further comprising adjusting a sum of the one or more factors with a factor influence.

530. The method ofclaim 482, wherein liability is a range, and wherein the range is estimated by a range radius.

531. The method ofclaim 482, wherein liability is a range, wherein the range is estimated by a range radius, and wherein the range radius is adjusted by a snap-to radius.

532. A system for estimating liability, comprising:

a CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

estimating a base liability of a party in a vehicle accident;

estimating an effect of one or more factors on the base liability of the party; and

determining an estimate of liability of the party with the estimated base liability and the estimated effect of the one or more factors on the base liability.

533. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method for estimating liability for a vehicle accident, the method comprising:

estimating a base liability of a party in a vehicle accident with a computer system;

estimating an effect of one or more factors on the base liability of the party with the computer system; and

determining an estimate of liability of the party with the estimated of base liability and the estimated effect of the one or more factors on the base liability.

534. A method of estimating liability and a range of liability for a vehicle accident, comprising:

estimating a base liability of a party in a vehicle accident, a lower bound of liability of the party, and an upper bound of liability of the party with a computer system;

estimating an effect of one or more factors on the base liability of the party with a computer system; and

wherein the one or more factors depend upon conditions of vehicles in the vehicle accident, conditions of drivers in the vehicle accident, actions of drivers in the vehicle accident, or environmental conditions common to vehicles in the vehicle accident.

535. The method ofclaim 534, wherein the base liability is estimated by at least one characteristic of a real set of characteristics of the vehicle accident.

536. The method ofclaim 534, wherein the base liability is estimated by at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises a right of way for one of the vehicles in the vehicle accident.

537. The method ofclaim 534, wherein the base liability is estimated by at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises a roadway configuration at a location of the vehicle accident.

538. The method ofclaim 537, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

539. The method ofclaim 534, wherein the base liability is estimated by at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises an accident type of the vehicle accident.

540. The method ofclaim 539, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

541. The method ofclaim 534, wherein the base liability is estimated by at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises an impact point of one of the vehicles in the vehicle accident.

542. The method ofclaim 541, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

543. The method ofclaim 534, wherein the base liability is estimated by at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises a right of way for one of the vehicles in the vehicle accident and a roadway configuration at a location of the vehicle accident.

544. The method ofclaim 543, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

545. The method ofclaim 534, wherein the base liability is estimated by at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises a right of way for one of the vehicles in the vehicle accident and an accident type of the vehicle accident.

546. The method ofclaim 545, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

547. The method ofclaim 534, wherein the base liability is estimated by at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises a right of way for one of the vehicles in the vehicle accident and an impact point of one of the vehicles in the vehicle accident.

548. The method ofclaim 547, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

549. The method ofclaim 534, wherein the base liability is estimated by at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises a roadway configuration at a location of the vehicle accident and an accident type of the vehicle accident.

550. The method ofclaim 549, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

551. The method ofclaim 549, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

552. The method ofclaim 534, wherein the base liability is estimated by at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises a roadway configuration at a location of the vehicle accident and an impact point of one of the vehicles in the vehicle accident.

553. The method ofclaim 552, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

554. The method ofclaim 552, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

555. The method ofclaim 534, wherein the base liability is estimated by at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises an accident type of the vehicle accident and an impact point of one of the vehicles in the vehicle accident.

556. The method ofclaim 555, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

557. The method ofclaim 555, wherein the impact points is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

558. The method ofclaim 534, wherein the base liability is estimated by at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises a right of way for one of the vehicles, a roadway configuration at a location of the vehicle accident, and an accident type of the vehicle accident.

559. The method ofclaim 558, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

560. The method ofclaim 558, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

561. The method ofclaim 534, wherein the base liability is estimated by at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises a right of way for one of the vehicles in the vehicle accident, a roadway configuration at a location of the vehicle accident, and an impact point of one of the vehicles in the vehicle accident.

562. The method ofclaim 561, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

563. The method ofclaim 561, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

564. The method ofclaim 534, wherein the base liability is estimated by at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises a right of way for one of the vehicles in the vehicle accident, an accident type of the vehicle accident, and an impact point of one of the vehicles in the vehicle accident.

565. The method ofclaim 564, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

566. The method ofclaim 564, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

567. The method ofclaim 534, wherein the base liability is estimated by at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises a roadway configuration at a location of the vehicle accident, an accident type of the vehicle accident, and an impact point of one of the vehicles in the vehicle accident.

568. The method ofclaim 567, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

569. The method ofclaim 567, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

570. The method ofclaim 567, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

571. The method ofclaim 534, wherein the base liability is estimated by at least one characteristic of a real set of characteristics of the vehicle accident, and wherein the at least one characteristic comprises a right of way for one of the vehicles in the vehicle accident, a roadway configuration at a location of the vehicle accident, an accident type of the vehicle accident, and an impact point of one of the vehicles in the vehicle accident.

572. The method ofclaim 571, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

573. The method ofclaim 571, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

574. The method ofclaim 571, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

575. The method ofclaim 534, wherein the one or more factors are selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

576. The method ofclaim 534, further comprising adjusting the one or more factors with a situational weight.

577. The method ofclaim 534, estimating a situational weight from circumstances relating to the vehicle accident, and adjusting the one or more factors with the situational weight.

578. The method ofclaim 534, estimating a situational weight from knowledge obtained from experienced claims adjusters, and adjusting the one or more factors with the situational weight.

579. The method ofclaim 534, further comprising adjusting the one or more factors with a ranking factor.

580. The method ofclaim 534, further comprising adjusting a sum of the one or more factors with a factor influence.

581. A system for estimating liability comprising:

a CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

estimating a base liability of a party in a vehicle accident, a lower bound of liability of the party, and an upper bound of liability of the party;

estimating an effect of one or more factors on the liability; and

wherein the one or more factors depend upon conditions of vehicles in the vehicle accident, conditions of drivers in the vehicle accident, actions of drivers in the vehicle accident, or environmental conditions common to vehicles in the vehicle accident.

582. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method of estimating liability and a range of liability for a vehicle accident, the method comprising:

estimating a base liability of a party in a vehicle accident, a lower bound of liability of the party, and an upper bound of liability of the party with a computer system;

estimating an effect of one or more factors on the base liability of the party with a computer system; and

wherein the one or more factors depend upon conditions of vehicles in the vehicle accident, conditions of drivers in the vehicle accident, actions of drivers in the vehicle accident, or environmental conditions common to vehicles in the vehicle accident.

583. A method of determining right of way in a vehicle accident, comprising:

providing to a computer system a real set of characteristics of to a real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents, and wherein a determination of a right of way is associated with one or more of the sets of characteristics for the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics for the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics for the past or theoretical accidents; and

determining a right of way for the real accident based on the determination of the right of way associated with the nearest matching set of characteristics.

584. The method ofclaim 583, wherein the real accident comprises a two vehicle accident.

585. The method ofclaim 583, wherein the real set of characteristics comprises a roadway configuration at a location of the real accident.

586. The method ofclaim 585, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

587. The method ofclaim 583, wherein the real set of characteristics comprises an accident type of the real accident.

588. The method ofclaim 587, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

589. The method ofclaim 583, wherein the real set of characteristics comprises a traffic control.

590. The method ofclaim 589, wherein the traffic control is selected from the group consisting of a red light, a yellow light, a green light, a left turn arrow, a right turn arrow, a stop sign, a yield sign, a flashing red light, a flashing yellow light, a police officer signaling stop, a police officer signaling proceed, a crossing guard signaling proceed, a crossing guard signaling stop, a flagger signaling proceed, a flagger signaling stop, another person signaling proceed, another person signaling stop, an emergency vehicle, and a school bus.

591. The method ofclaim 583, wherein the real set of characteristics comprises a jurisdiction.

592. The method ofclaim 591, wherein the jurisdiction comprises a state or a territory of the United States.

593. The method ofclaim 583, wherein the real set of characteristics comprises a roadway configuration at a location of the real accident and an accident type of the real accident.

594. The method ofclaim 593, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

595. The method ofclaim 593, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

596. The method ofclaim 583, wherein at least two of the real set of characteristics comprise a roadway configuration at a location of the real accident and a traffic control.

597. The method ofclaim 596, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can, be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

598. The method ofclaim 596, wherein the traffic control is selected from the group consisting of a red light, a yellow light, a green light, a left turn arrow, a right turn arrow, a stop sign, a yield sign, a flashing red light, a flashing yellow light, a police officer signaling stop, a police officer signaling proceed, a crossing guard signaling proceed, a crossing guard signaling stop, a flagger signaling proceed, a flagger signaling stop, another person signaling proceed, another person signaling stop, an emergency vehicle, and a school bus.

599. The method ofclaim 583, wherein the real set of characteristics comprises a roadway configuration at a location of the real accident and a jurisdiction.

600. The method ofclaim 599, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

601. The method ofclaim 599, wherein the jurisdiction comprises a state or a territory of the United States.

602. The method ofclaim 583, wherein the real set of characteristics comprises an accident type of the real accident and a traffic control.

603. The method ofclaim 602, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

604. The method ofclaim 602, wherein the traffic control is selected from the group consisting of a red light, a yellow light, a green light, a left turn arrow, a right turn arrow, a stop sign, a yield sign, a flashing red light, a flashing yellow light, a police officer signaling stop, a police officer signaling proceed, a crossing guard signaling proceed, a crossing guard signaling stop, a flagger signaling proceed, a flagger signaling stop, another person signaling proceed, another person signaling stop, an emergency vehicle, and a school bus.

605. The method ofclaim 583, wherein the real set of characteristics comprises an accident type of the real accident and a jurisdiction.

606. The method ofclaim 605, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

607. The method ofclaim 605, wherein the jurisdiction comprises a state or a territory of the United States.

608. The method ofclaim 583, wherein the real set of characteristics comprises a traffic control and a jurisdiction.

609. The method ofclaim 608, wherein the traffic control is selected from the group consisting of a red light, a yellow light, a green light, a left turn arrow, a right turn arrow, a stop sign, a yield sign, a flashing red light, a flashing yellow light, a police officer signaling stop, a police officer signaling proceed, a crossing guard signaling proceed, a crossing guard signaling stop, a flagger signaling proceed, a flagger signaling stop, another person signaling proceed, another person signaling stop, an emergency vehicle, and a school bus.

610. The method ofclaim 608, wherein the jurisdiction comprises a state or a territory of the United States.

611. The method ofclaim 583, wherein the real set of characteristics comprises a roadway configuration at a location of the real accident, an accident type of the real accident, and a traffic control.

612. The method ofclaim 611, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

613. The method ofclaim 611, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

614. The method ofclaim 611, wherein the traffic control is selected from the group consisting of a red light, a yellow light, a green light, a left turn arrow, a right turn arrow, a stop sign, a yield sign, a flashing red light, a flashing yellow light, a police officer signaling stop, a police officer signaling proceed, a crossing guard signaling proceed, a crossing guard signaling stop, a flagger signaling proceed, a flagger signaling stop, another person signaling proceed, another person signaling stop, an emergency vehicle, and a school bus.

615. The method ofclaim 583, wherein the real set of characteristics comprises a roadway configuration at a location of the real accident, an accident type of the real accident, and a jurisdiction.

616. The method ofclaim 615, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

617. The method ofclaim 615, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

618. The method ofclaim 615, wherein the jurisdiction comprises a state or a territory of the United States.

619. The method ofclaim 583, wherein the real set of characteristics comprises a roadway configuration at a location of the real accident, a traffic control, and a jurisdiction.

620. The method ofclaim 619, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

621. The method ofclaim 619, wherein the traffic control is selected from the group consisting of a red light, a yellow light, a green light, a left turn arrow, a right turn arrow, a stop sign, a yield sign, a flashing red light, a flashing yellow light, a police officer signaling stop, a police officer signaling proceed, a crossing guard signaling proceed, a crossing guard signaling stop, a flagger signaling proceed, a flagger signaling stop, another person signaling proceed, another person signaling stop, an emergency vehicle, and a school bus.

622. The method ofclaim 619, wherein the jurisdiction comprises a state or a territory of the United States.

623. The method ofclaim 583, wherein the real set of characteristics comprises an accident type of the real accident, a traffic control, and a jurisdiction.

624. The method ofclaim 623, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

625. The method ofclaim 623, wherein the traffic control is selected from the group consisting of a red light, a yellow light, a green light, a left turn arrow, a right turn arrow, a stop sign, a yield sign, a flashing red light, a flashing yellow light, a police officer signaling stop, a police officer signaling proceed, a crossing guard signaling proceed, a crossing guard signaling stop, a flagger signaling proceed, a flagger signaling stop, another person signaling proceed, another person signaling stop, an emergency vehicle, and a school bus.

626. The method ofclaim 623, wherein the jurisdiction comprises a state or a territory of the United States.

627. The method ofclaim 583, wherein the real set of characteristics comprises a roadway configuration at a location of the real accident, an accident type of the real accident, a traffic control, and a jurisdiction.

628. The method ofclaim 627, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

629. The method ofclaim 627, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

630. The method ofclaim 627, wherein the traffic control is selected from the group consisting of a red light, a yellow light, a green light, a left turn arrow, a right turn arrow, a stop sign, a yield sign, a flashing red light, a flashing yellow light, a police officer signaling stop, a police officer signaling proceed, a crossing guard signaling proceed, a crossing guard signaling stop, a flagger signaling proceed, a flagger signaling stop, another person signaling proceed, another person signaling stop, an emergency vehicle, and a school bus.

631. The method ofclaim 627, wherein the jurisdiction comprises a state or a territory of the United States.

632. A system of determining right of way in a vehicle accident, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing to a real set of characteristics of a real accident;

wherein the data memory comprises sets of characteristics for past or theoretical accidents;

providing a determination of a right of way of a vehicle for one or more of the set of characteristics for past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics for the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics for the past or theoretical accidents; and

determining a right of way for the real accident based on the determined right of way for the nearest matching set of characteristics among the sets of characteristics relating to past or theoretical accidents.

633. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method of determining right of way in a vehicle accident, the method comprising:

providing to a computer system a real set of characteristics of to a real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents, and wherein a determination of a right of way is associated with one or more of the sets of characteristics for the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics for the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics for the past or theoretical accidents; and

determining a right of way for the real accident based on the determination of the right of way associated with the nearest matching set of characteristics.

634. A method of estimating liability for a vehicle accident, comprising:

providing to a computer system a real set of characteristics of a real accident, wherein the real set of characteristics comprises an impact point for a vehicle in the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents, wherein the sets of characteristics for the past or theoretical accident comprise an impact point for a vehicle in one of the past or theoretical accidents, wherein the impact point for the vehicle is the one of the past or theoretical accidents is associated with at least one impact group, and wherein the at least one impact group is associated with an estimate of a base liability;

comparing the real set of characteristics to the sets of characteristics for the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics for the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of the base liability associated with the at least one impact group of the nearest matching set of characteristics.

635. The method ofclaim 634, wherein the estimate of liability associated with the at least one impact group is determined by using knowledge obtained from experienced claims adjusters.

636. The method ofclaim 634, wherein the sets of characteristics for the past or theoretical accidents further comprise a roadway configuration.

637. The method ofclaim 636, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

638. The method ofclaim 634, wherein the sets of characteristics for the past or theoretical accidents further comprise an accident type.

639. The method ofclaim 638, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

640. The method ofclaim 634, wherein the sets of characteristics for the past or theoretical accidents further comprise a right of way.

641. The method ofclaim 634, wherein the sets of characteristics for the past or theoretical accidents further comprise a roadway configuration and an accident type.

642. The method ofclaim 641, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

643. The method ofclaim 641, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

644. The method ofclaim 634, wherein the sets of characteristics for the past or theoretical accidents further comprise a roadway configuration and a right of way.

645. The method ofclaim 644, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

646. The method ofclaim 634, wherein the sets of characteristics for the past or theoretical accidents further comprise an accident type and a right of way.

647. The method ofclaim 646, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

648. The method ofclaim 634, wherein the sets of characteristics for the past or theoretical accidents further comprise a roadway configuration, an accident type, and a right of way.

649. The method ofclaim 648, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

650. The method ofclaim 648, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

651. A system for estimating liability, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing a real set of characteristics of a real accident, wherein the real set of characteristics comprises an impact point for a vehicle in the real accident;

wherein the data memory comprises sets of characteristics for past or theoretical accidents, wherein the sets of characteristics comprise an impact points for a vehicle in one of the past or theoretical accidents, wherein the impact point for the vehicle in the one of the past or theoretical accidents is associated with at least one impact group, and wherein the at least one impact group is associated with an estimate of a base liability;

comparing the real set of characteristics to the sets of characteristics for the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics for the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of the base liability associated with the at least one impact group of the nearest matching set of characteristics

652. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method of estimating liability for a vehicle accident, the method comprising:

providing to a computer system a real set of characteristics of a real accident, wherein the real set of characteristics comprises an impact point for a vehicle in the real accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents, wherein the sets of characteristics for the past or theoretical accident comprise an impact point for a vehicle in one of the past or theoretical accidents, wherein the impact point for the vehicle is the one of the past or theoretical accidents is associated with at least one impact group, and wherein the at least one impact group is associated with an estimate of a base liability;

comparing the real set of characteristics to the sets of characteristics for the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics for the past or theoretical accidents; and

determining an estimate of liability for the real accident based on the estimate of the base liability associated with the at least one impact group of the nearest matching set of characteristics.

653. A method of estimating liability for a vehicle accident, comprising:

estimating a base liability of a party involved in a vehicle accident using a computer system;

estimating an effect of one or more factors on the base liability using a computer system;

determining an estimate of liability of the party based on the base liability and the effect of the one or more factors on the base liability; and

assigning an absolute liability value as the liability of the party if the effect of the one or more factors exceeds a user specified value.

654. The method ofclaim 653, wherein estimating the base liability comprises estimating the base liability using a real set of characteristics of the vehicle accident.

655. The method ofclaim 654, wherein the real set of characteristics comprises a right of way for a vehicle in the vehicle accident.

656. The method ofclaim 654, wherein the real set of characteristics comprises a roadway configuration at a location of the vehicle accident.

657. The method ofclaim 656, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

658. The method ofclaim 654, wherein the real set of characteristics comprises an accident type of the vehicle accident.

659. The method ofclaim 658, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

660. The method ofclaim 654, wherein the real set of characteristics comprises an impact point of a vehicle in the vehicle accident.

661. The method ofclaim 660, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

662. The method ofclaim 654, wherein the real set of characteristics comprises a right of way for a vehicle in the vehicle accident and a roadway configuration at a location of the vehicle accident.

663. The method ofclaim 662, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

664. The method ofclaim 654, wherein the real set of characteristics comprises a right of way for a vehicle in the vehicle accident and an accident type of the vehicle accident.

665. The method ofclaim 664, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

666. The method ofclaim 654, wherein the real set of characteristics comprises a right of way for a vehicle in the vehicle accident and an impact point of the vehicle in the vehicle accident.

667. The method ofclaim 666, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

668. The method ofclaim 654, wherein the real set of characteristics comprises a roadway configuration at a location of the vehicle accident and an accident type of the vehicle accident.

669. The method ofclaim 668, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

670. The method ofclaim 668, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

671. The method ofclaim 654, wherein the real set of characteristics comprises a roadway configuration at a location of the vehicle accident and an impact point of a vehicle in the vehicle accident.

672. The method ofclaim 671, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

673. The method ofclaim 671, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

674. The method ofclaim 654, wherein the real set of characteristics comprises an accident type of the vehicle accident and an impact point of a vehicle in the vehicle accident.

675. The method ofclaim 674, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

676. The method ofclaim 674, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

677. The method ofclaim 654, wherein the real set of characteristics comprises a right of way for a vehicle in the vehicle accident, a roadway configuration at a location of the vehicle accident, and an accident type of the vehicle accident.

678. The method ofclaim 677, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

679. The method ofclaim 677, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

680. The method ofclaim 654, wherein the real set of characteristics comprises a right of way for a vehicle in the vehicle accident, a roadway configuration at a location of the vehicle accident, and an impact point of the vehicle in the vehicle accident.

681. The method ofclaim 680, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

682. The method ofclaim 680, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

683. The method ofclaim 654, wherein the real set of characteristics comprises a right of way for a vehicle in the vehicle accident, an accident type of the vehicle accident, and an impact point of the vehicle in the vehicle accident.

684. The method ofclaim 683, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

685. The method ofclaim 683, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

686. The method ofclaim 654, wherein the real set of characteristics comprises a roadway configuration at a location of the vehicle accident, an accident type of the vehicle accident, and an impact point of a vehicle in the vehicle accident.

687. The method ofclaim 686, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

688. The method ofclaim 686, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

689. The method ofclaim 686, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

690. The method ofclaim 654, wherein the real set of characteristics comprises a right of way for a vehicle in the vehicle accident, a roadway configuration at a location of the vehicle accident, an accident type of the vehicle accident, and an impact point of the vehicle in the vehicle accident.

691. The method ofclaim 690, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

692. The method ofclaim 690, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

693. The method ofclaim 690, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

694. The method ofclaim 653, wherein the one or more factors are selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

695. The method ofclaim 653, further comprising adjusting the one or more factors with a situational weight.

696. The method ofclaim 653, estimating a situational weight from circumstances of the vehicle accident, and adjusting the one or more factors with the situational weight.

697. The method ofclaim 695, estimating a situational weight from knowledge obtained from experienced claims adjusters, and adjusting the one or more factors with the situational weight.

698. The method ofclaim 653, further comprising adjusting the one or more factors with a ranking factor.

699. The method ofclaim 653, further comprising adjusting a sum of the one or more factors with a factor influence.

700. The method ofclaim 653, wherein the estimate of liability is a range, and wherein the range is estimated by a range radius.

701. The method ofclaim 653, wherein the estimate of liability is a range, wherein the range is estimated by a range radius, and wherein the range radius is adjusted by a snap-to radius.

702. A system for estimating liability for a vehicle accident, comprising:

a CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

estimating a base liability of a party involved in a vehicle accident;

estimating an effect of one or more factors on the base liability;

determining an estimate of liability of the party based on the base liability and the effect of the one or more factors on the base liability; and

assigning an absolute liability value as liability of the party if the effect of the one or more factors exceeds a user specified value.

703. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method of estimating liability for a vehicle accident, the method comprising:

estimating a base liability of a party involved in a vehicle accident using a computer system;

estimating an effect of one or more factors on the base liability using a computer system;

determining an estimate of liability of the party based on the base liability and the effect of the one or more factors on the base liability; and

assigning an absolute liability value as the liability of the party if the effect of the one or more factors exceeds a user specified value.

704. A method of estimating liability in a real accident, comprising:

providing to a computer a real set of characteristics of a real accident;

wherein at least one of the characteristics of the real set is based on a condition of a vehicle in the real accident, a condition of a driver of the vehicle in the real accident, an action of the driver of the vehicle in the real accident, or an environmental condition common to the vehicle in the accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the characteristics of the sets of characteristics for the past or theoretical accidents is based on a condition of a vehicle in the past or theoretical accidents, a condition of a driver of the vehicle in the past or theoretical accidents, an action of the driver of the vehicle in the past or theoretical accidents, or an environmental condition common to the vehicle in the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics for the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics for the past or theoretical accidents; and

determining an estimate of liability for the real accident based the estimate of liability of a associated with the nearest matching set of characteristic from the past or theoretical accidents.

705. The method ofclaim 704, wherein the characteristics are selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

706. The method ofclaim 704, further comprising adjusting estimate of liability with a situational weight.

707. The method ofclaim 704, further comprising estimating a situational weight from one or more circumstances of the vehicle accident, and adjusting estimate of liability with a situational weight.

708. The method ofclaim 704, further comprising estimating a situational weight from knowledge obtained from an experienced claims adjuster, a nd adjusting estimate of liability with a situational weight.

709. The method ofclaim 704, further comprising adjusting estimate of liability with one or more ranking factors.

710. The method ofclaim 704, further comprising adjusting estimate of liability with a factor influence.

711. A system for estimating liability, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing a real set of characteristics of a real accident;

wherein at least one of the characteristics of the real set is based on a condition of a vehicle in the real accident, a condition of a driver of the vehicle in the real accident, an action of the driver of the vehicle in the real accident, or an environmental condition common to the vehicle in the real accident;

wherein the data memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the characteristics of the sets of characteristics for the past or theoretical accidents is based on a condition of a vehicle in the past or theoretical accidents, a condition of a driver of the vehicle in the past or theoretical accidents, an action of the driver of the vehicle in the past or theoretical accidents, or an environmental condition common to the vehicle in the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics for the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics for the past or theoretical accidents; and

determining an estimate of liability for the real accident based the estimate of liability of a associated with the nearest matching set of characteristic from the past or theoretical accidents.

712. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method of estimating the contribution to liability in a vehicle accident, the method comprising:

providing to a computer a real set of characteristics of a real accident;

wherein at least one of the characteristics of the real set is based on a condition of a vehicle in the real accident, a condition of a driver of the vehicle in the real accident, an action of the driver of the vehicle in the real accident, or an environmental condition common to the vehicle in the accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents associated with estimates of liability, and wherein at least one of the characteristics of the sets of characteristics for the past or theoretical accidents is based on a condition of a vehicle in the past or theoretical accidents, a condition of a driver of the vehicle in the past or theoretical accidents, an action of the driver of the vehicle in the past or theoretical accidents, or an environmental condition common to the vehicle in the past or theoretical accidents;

comparing the real set of characteristics to the sets of characteristics for the past or theoretical accidents to determine a nearest matching set of characteristics among the sets of characteristics for the past or theoretical accidents; and

determining an estimate of liability for the real accident based the estimate of liability of a associated with the nearest matching set of characteristic from the past or theoretical accidents.

713. A method, comprising:

providing to a computer system one or more sets of impact points relating to a past or theoretical accident, wherein the one or more sets of impact points comprise an impact point for at least one vehicle in the past or theoretical accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents;

providing to the computer system an estimate of liability corresponding to the one or more sets of impact points for the past or theoretical accident; and

storing the estimate of liability in the memory in association with the one or more sets of impact points and the sets of characteristics for past or theoretical accidents.

714. The method ofclaim 713, wherein the past or theoretical accident comprises a two vehicle accident.

715. The method ofclaim 713, wherein the estimate of liability is expressed as a percentage.

716. The method ofclaim 713, wherein the estimate of liability is expressed as a range of percentage liability.

717. The method ofclaim 713, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

718. The method ofclaim 713, wherein the sets of characteristics for past or theoretical accidents comprise a roadway configuration at a location of the vehicle accident.

719. The method ofclaim 718, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

720. The method ofclaim 713, wherein the sets of characteristics for past or theoretical accidents comprise an accident type of the vehicle accident.

721. The method ofclaim 720, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

722. The method ofclaim 713, wherein the sets of characteristics for past or theoretical accidents comprise a roadway configuration at a location of the vehicle accident and an accident type of the vehicle accident.

723. The method ofclaim 722, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

724. The method ofclaim 722, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

725. A system, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing one or more sets of impact points relating to a past or theoretical accident, wherein the one or more sets of impact points comprise an impact point for at least one vehicle in the past or theoretical accident;

wherein the data memory comprises sets of characteristics for past or theoretical accidents;

providing to the computer system an estimate of liability corresponding to the one or more sets of impact points for the past or theoretical accident; and

storing the estimate of liability in the memory in association with the one or more sets of impact points and the sets of characteristics for past or theoretical accidents.

726. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method comprising:

providing to a computer system one or more sets of impact points relating to a past or theoretical accident, wherein the one or more sets of impact points comprise an impact point for at least one vehicle in the past or theoretical accident;

wherein the computer system is configured to access a memory, wherein the memory comprises sets of characteristics for past or theoretical accidents;

providing to the computer system an estimate of liability corresponding to the one or more sets of impact points for the past or theoretical accident; and

storing the estimate of liability in the memory in association with the one or more sets of impact points and the sets of characteristics for past or theoretical accidents.

727. A method, comprising:

providing to a computer system an estimate of liability for a past or theoretical accident;

wherein the computer system is configured to access a memory, wherein the memory comprises a set of characteristics for the past or theoretical accident; and

storing the estimate of liability in the memory in association with the set of characteristics for the past or theoretical accident.

728. The method ofclaim 727, wherein the accident comprises a vehicle accident.

729. The method ofclaim 727, wherein the accident comprises a two vehicle accident.

730. The method ofclaim 727, wherein the estimate of the liability is expressed as a percentage.

731. The method ofclaim 727, wherein set of characteristics for the past or theoretical accident comprise a roadway configuration at a location of the vehicle accident.

732. The method ofclaim 731, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

733. The method ofclaim 727, wherein set of characteristics for the past or theoretical accident comprise an accident type of the vehicle accident.

734. The method ofclaim 733, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

735. The method ofclaim 727, wherein set of characteristics for the past or theoretical accident comprise a roadway configuration at a location of the vehicle accident and an accident type of the vehicle accident.

736. The method ofclaim 735, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

737. The method ofclaim 735, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

738. The method ofclaim 727, wherein the estimate of liability comprises a base liability, wherein the base liability is a portion of the liability independent of factors specific to condition of vehicles in the accident, condition of drivers in the accident, actions of drivers in the accident, and environmental conditions common to vehicles in the accident.

739. The method ofclaim 727, wherein the estimate of liability comprises a lower bound of liability and an upper bound of liability.

740. The method ofclaim 727, wherein the estimate of liability comprises a range radius.

741. A system, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing an estimate of liability for a past or theoretical accident;

wherein the data memory comprises a set of characteristics for the past or theoretical accident; and

storing the estimate of liability in the memory in association with the set of characteristics for the past or theoretical accident.

742. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method of estimating liability for a vehicle accident, the method comprising:

providing to a computer system an estimate of liability for a past or theoretical accident;

wherein the computer system is configured to access a memory, wherein the memory comprises a set of characteristics for the past or theoretical accident; and

storing the estimate of liability in the memory in association with the set of characteristics for the past or theoretical accident.

743. A method, comprising:

providing a computer system, configured to access a memory, wherein the memory comprises one or more estimates of an effect on liability of one or more factors relating to a past or theoretical accident;

providing to the computer system one or more adjustments to the one or more estimates of the effect on the liability of the one or more factors relating to the past or theoretical accident; and

storing the one or more adjustments in the memory in association with the one or more estimates of the effect on the liability of the one or more factors relating to the past or theoretical accident.

744. The method ofclaim 743, wherein the accident comprises a vehicle accident.

745. The method ofclaim 743, wherein the accident comprises a two vehicle accident.

746. The method ofclaim 743, wherein the one or more estimates of the effect on the liability are expressed as a percentage.

747. The method ofclaim 743, wherein the one or more factors are selected from the group consisting of a construction zone, an obstructed view or glare, a road condition, a road character, a road defect, a defective traffic control, visibility, alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, driver illness, following too closely, headlights off, speed, a sudden stop or swerve, taillights or brakelights off, unsafe backing, failure to take evasive action, high beams, an improper lane change, improper parking, and improper signaling.

748. The method ofclaim 743, wherein the one or more adjustments comprise situational weights.

749. The method ofclaim 743, wherein the one or more adjustments comprise ranking factors.

750. The method ofclaim 743, wherein the one or more adjustments comprise a factor influence, and wherein the factor influence adjusts a sum of the effect on the liability of the one or more factors.

751. A system, comprising:

a CPU;

a data memory coupled to the CPU wherein the data memory comprises one or more estimates of an effect on liability of one or more factors relating to a past or theoretical accident; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing one or more adjustments to the one or more estimates of the effect on the liability of the one or more factors relating to the past or theoretical accident; and

storing the one or more adjustments in the data memory in association with the one or more estimates of the effect on the liability of the one or more factors relating to the past or theoretical accident.

752. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method comprising:

providing a computer system, configured to access a memory, wherein the memory comprises one or more estimates of an effect on liability of one or more factors relating to a past or theoretical accident;

providing to the computer system one or more adjustments to the one or more estimates of the effect on the liability of the one or more factors relating to the past or theoretical accident; and

storing the one or more adjustments in the memory in association with the one or more estimates of the effect on the liability of the one or more factors relating to the past or theoretical accident.

753. A method, comprising:

providing claim data regarding a vehicle accident to a computer system via a graphical user interface;

providing data regarding at least one vehicle involved in the vehicle accident to the computer system via the graphical user interface;

providing an assessment of the vehicle accident to the computer system via the graphical user interface; and

storing the claim data regarding the vehicle accident, the data regarding at least one vehicle involved in the vehicle accident, and the assessment of the vehicle accident in a memory associated with the computer system.

754. The method ofclaim 753, further comprising displaying a consultation report via the graphical user interface.

755. The method ofclaim 754, wherein the consultation report comprises the claim data, the data regarding the at least one vehicle, and the assessment.

756. The method ofclaim 754, wherein the consultation report comprises a range of liability for an insured party involved in the vehicle accident.

757. The method ofclaim 753, wherein the claim data comprises policy data.

758. The method ofclaim 753, wherein the claim data comprises policy data, and wherein the policy data comprises a claim number, a policy number, policy limits, or policy dates.

759. The method ofclaim 753, wherein the claim data comprises information regarding parties involved in the vehicle accident.

760. The method ofclaim 759, wherein the parties comprise an insured party and a claimant party.

761. The method ofclaim 759, wherein the parties comprise one or more witnesses.

762. The method ofclaim 759, wherein the information regarding the parties involved in the vehicle accident comprises a description of the vehicle accident provided by at least one of the parties.

763. The method ofclaim 753, wherein the claim data comprises a location, a date, and

a time of the vehicle accident.

764. The method ofclaim 753, wherein the claim data comprises who reported the vehicle accident, to whom the vehicle accident was reported, and whether police were called.

765. The method ofclaim 753, wherein the claim data comprises content of a police report regarding the vehicle accident.

766. The method ofclaim 753, wherein the claim data comprises whether there were injuries in the vehicle accident.

767. The method ofclaim 753, wherein the claim data comprises a jurisdiction in which the vehicle accident occurred.

768. The method ofclaim 767, wherein the jurisdiction comprises a state or a territory of the United States.

769. The method ofclaim 753, wherein the claim data comprises a number of vehicles involved in the vehicle accident.

770. The method ofclaim 753, wherein the data comprises a type of the at least one vehicle involved in the vehicle accident.

771. The method ofclaim 770, wherein the type of the at least one vehicle is an automobile or a light truck.

772. The method ofclaim 753, wherein the assessment of the vehicle accident comprises a graphical representation of an accident type.

773. The method ofclaim 772, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

774. The method ofclaim 753, wherein the assessment of the vehicle accident comprises a graphical representation of a roadway configuration at a location of the vehicle accident.

775. The method ofclaim 774, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

776. The method ofclaim 753, wherein the assessment of the vehicle accident comprises an impact point of the at least one vehicle involved in the vehicle accident.

777. The method ofclaim 776, wherein the impact point is represented graphically.

778. The method ofclaim 776, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

779. The method ofclaim 753, wherein the assessment of the vehicle accident comprises a description of the vehicle accident.

780. The method ofclaim 753, wherein the assessment of the vehicle accident comprises environmental conditions at a location of the vehicle accident.

781. The method ofclaim 780, wherein the environmental conditions comprise a construction zone, an obstructed view or glare, a road condition, a road character, a road defects, a defective traffic control, or visibility.

782. The method ofclaim 753, wherein the assessment of the vehicle accident comprises a condition of a driver of the at least one vehicle involved in the vehicle accident.

783. The method ofclaim 782, wherein the condition of the driver comprises an effect of alcohol, illicit drugs, prescription drugs, driver inattention, corrective lenses, driver inexperience, driver fatigue, or driver illness.

784. The method ofclaim 753, wherein the assessment of the vehicle accident comprises human actions.

785. The method ofclaim 784, wherein the human actions comprise following too closely, driving with headlights off, driving at an unsafe speed, a sudden stop or swerve, a failure to take evasive action, driving with high beams on, an improper lane change, improper parking, or improper signaling.

786. The method ofclaim 753, wherein the assessment of the vehicle accident comprises an assessment of a condition of the at least one vehicle involved in the accident.

787. The method ofclaim 786, wherein the condition comprises defective equipment.

788. The method ofclaim 753, wherein the assessment of the vehicle accident comprises a speed limit at a location of the vehicle accident.

789. The method ofclaim 753, wherein the assessment of the vehicle accident comprises a speed of the at least one vehicle involved in the vehicle accident.

790. The method ofclaim 753, wherein the assessment of the vehicle accident comprises identification of traffic controls at a location of the vehicle accident.

791. The method ofclaim 790, wherein the traffic control is selected from the group consisting of a red light, a yellow light, a green light, a left turn arrow, a right turn arrow, a stop sign, a yield sign, a flashing red light, a flashing yellow light, a police officer signaling stop, a police officer signaling proceed, a crossing guard signaling proceed, a crossing guard signaling stop, a flagger signaling proceed, a flagger signaling stop, another person signaling proceed, another person signaling stop, an emergency vehicle, and a school bus.

792. The method ofclaim 753, wherein the assessment of the vehicle accident comprises a determination of whether traffic control devices were obeyed by the at least one vehicle involved in the vehicle accident.

793. The method ofclaim 753, wherein the assessment of the vehicle accident comprises a determination of whether traffic controls were defective at a location of the vehicle accident.

794. The method ofclaim 753, wherein the assessment of the vehicle accident comprises a determination of whether the at least one vehicle involved in the vehicle accident was defective.

795. The method ofclaim 753, wherein the assessment of the vehicle accident comprises a determination of whether roadway debris was present at a location of the vehicle accident.

796. The method ofclaim 753, wherein the assessment of the vehicle accident comprises a determination of whether roadway defects were present at a location of the vehicle accident.

797. The method ofclaim 753, wherein the assessment of the vehicle accident comprises a determination of whether there was a child in the at least one vehicle involved in the vehicle accident.

798. The method ofclaim 753, wherein the assessment of the vehicle accident comprises a determination of whether the at least one vehicle involved in the vehicle accident were engaged in commercial use at a time of the vehicle accident.

799. The method ofclaim 753, wherein the assessment of the vehicle accident comprises a determination of whether occupants in the at least one vehicle involved in the vehicle accident were wearing seatbelts.

800. A system, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing claim data regarding a vehicle accident via a graphical user interface;

providing data regarding at least one vehicle involved in the vehicle accident via the graphical user interface;

providing an assessment of the vehicle accident via the graphical user interface; and

storing the claim data regarding the vehicle accident, the data regarding at least one vehicle involved in the vehicle accident, and the assessment of the vehicle accident in the data memory.

801. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method comprising:

providing claim data regarding a vehicle accident to a computer system via a graphical user interface;

providing data regarding at least one vehicle involved in the vehicle accident to the computer system via the graphical user interface;

providing an assessment of the vehicle accident to the computer system via the graphical user interface; and

storing the claim data regarding the vehicle accident, the data regarding at least one vehicle involved in the vehicle accident, and the assessment of the vehicle accident in a memory associated with the computer system.

802. A method, comprising:

providing a computer system configured to access a memory, wherein the memory comprises sets of characteristics regarding one or more past or theoretical accidents, and wherein at least one characteristic in the sets of characteristics is an accident type;

displaying the accident type as a graphical image in a graphical user interface; and

selecting a graphical image of an accident type corresponding to an accident type of a real accident.

803. The method of claim802, wherein the accident type is selected from the group consisting of a rear ender, a left turn crossing traffic, a left turn across traffic, a left turn entering traffic, a right turn entering traffic, dual turns to same lane, concurrent left turns, a U-turn, a parked vehicle merging into traffic from right, a parked vehicle merging into traffic from left, a merge from left, a merge from right, concurrent merges to a single lane, a collision with a parked vehicle, a collision while backing, a head on, and a straight cross traffic collision.

804. The method of claim802, wherein the real accident comprises a vehicle accident.

805. The method of claim802, wherein the real accident comprises a two vehicle accident.

806. A system for estimating liability, comprising:

a CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

accessing the data memory, wherein the data memory comprises sets of characteristics regarding one or more past or theoretical accidents, and wherein at least one characteristic in the sets of characteristics is an accident type;

displaying the accident type as a graphical image in a graphical user interface; and

selecting a graphical image of an accident type corresponding to an accident type of a real accident.

807. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method comprising:

providing a computer system configured to access a memory, wherein the memory comprises sets of characteristics regarding one or more past or theoretical accidents, and wherein at least one characteristic in the sets of characteristics is an accident type;

displaying the accident type as a graphical image in a graphical user interface; and

selecting a graphical image of an accident type corresponding to an accident type of a real accident.

808. A method, comprising:

providing a computer system configured to access a memory, wherein the memory comprises sets of characteristics of one or more past or theoretical accidents, and wherein at least one characteristic in the sets of characteristics is a roadway configuration;

displaying the roadway configuration as a graphical image in a graphical user interface; and

selecting a graphical image of a roadway configuration corresponding to a roadway configuration of a real accident.

809. The method of claim808, wherein the roadway configuration is selected from the group consisting of a two or more lane road, a divided road with a median that can be crossed, a four-way intersection, a T-angle intersection, a merging of one roadway into another, a curve, a parking lot with two-way traffic, a parking lot with one way traffic, a center turn lane, and a two or more lane road divided by a physical barrier.

810. The method of claim808, wherein the real accident comprises a vehicle accident.

811. The method of claim808, wherein the real accident comprises a two vehicle accident.

812. A system for estimating liability, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

accessing the data memory, wherein the data memory comprises sets of characteristics regarding one or more past or theoretical accidents, and wherein at least one characteristic in the sets of characteristics is a roadway configuration;

displaying the roadway configuration as a graphical image in a graphical user interface; and

selecting a graphical image of a roadway configuration corresponding to a roadway configuration of a real accident.

813. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method comprising:

providing a computer system configured to access a memory, wherein the memory comprises sets of characteristics of one or more past or theoretical accidents, and wherein at least one characteristic in the sets of characteristics is a roadway configuration;

displaying the roadway configuration as a graphical image in a graphical user interface; and

selecting a graphical image of a roadway configuration corresponding to a roadway configuration of a real accident.

814. A method, comprising:

providing a computer system configured to access a memory, wherein the memory comprises sets of characteristics regarding one or more past or theoretical accidents, and wherein at least one characteristic in the sets of characteristics is an impact point for a vehicle involved in a past or theoretical accident;

displaying the impact points as a graphical image in a graphical user interface; and

selecting a graphical image of an impact point corresponding to an impact point for a vehicle involved in a real accident.

815. The method of claim814, wherein the impact point is selected from the group consisting of right front corner, right front fender, right middle, right rear quarter-panel, right rear corner, rear middle, left rear corner, left rear quarter-panel, left middle, left front fender, left front corner, and front middle.

816. The method of claim814, wherein the graphical image of the impact point comprises a graphical representation of a vehicle, wherein the vehicle is divided into two or more sections, and wherein the sections correspond to impact points.

817. The method of claim814, wherein the real accident comprises a vehicle accident.

818. The method of claim814, wherein the real accident comprises a two vehicle accident.

819. A system for estimating liability, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

accessing the data memory, wherein the data memory comprises sets of characteristics regarding one or more past or theoretical accidents, and wherein at least one characteristic in the sets of characteristics is an impact point for a vehicle in one of the a past or theoretical accidents;

displaying the impact point as a graphical image in a graphical user interface; and

selecting a graphical image of an impact point corresponding to an impact point for a vehicle in a real accident.

820. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method comprising:

providing a computer system configured to access a memory, wherein the memory comprises sets of characteristics regarding one or more past or theoretical accidents, and wherein at least one characteristic in the sets of characteristics is an impact point for a vehicle involved in a past or theoretical accident;

displaying the impact points as a graphical image in a graphical user interface; and

selecting a graphical image of an impact point corresponding to an impact point for a vehicle involved in a real accident.

821. A method, comprising:

providing to a computer system at least two real sets of characteristics relating to a real accident;

wherein content of one or more of the at least two real sets of characteristics corresponds to at least one witness statement regarding the real accident;

comparing the content of the at least two real sets of characteristics relating to the real accident; and

determining inconsistencies between the at least two real sets of characteristics relating to the real accident based on the comparison.

822. The method of claim821, wherein the accident comprises a vehicle accident, and wherein the at least two real sets of characteristics are selected from the group consisting of speed of at least one vehicle, whether brakes were applied, whether signaling was improper or nonexistent, whether a vehicle yielded, a road condition, a road character, a road defects, a defective traffic control, visibility, whether a driver was wearing required corrective lenses, a distance between the vehicles prior to the accident, whether headlights were off, presence of an animal, a pedestrian, or another vehicle, whether a vehicle made a sudden stop or swerve, whether taillights or brakelights were off, unsafe backing, whether there was a failure to take evasive action, whether a vehicle had high beams on, and whether a lane change was improper.

823. The method of claim821, wherein the real accident comprises a vehicle accident.

824. The method of claim821, wherein the real accident comprises a two vehicle accident.

825. A system for estimating liability, comprising:

a CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing at least two real sets of characteristics relating to a real accident;

wherein content of one or more of the at least two real sets of characteristics corresponds to at least one witness statement regarding the real accident;

comparing the content of the at least two real sets of characteristics relating to the real accident; and

determining inconsistencies between the at least two real sets of characteristics relating to the real accident based on the comparison.

826. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method comprising:

providing to a computer system at least two real sets of characteristics relating to a real accident;

wherein content of one or more of the at least two real sets of characteristics corresponds to at least one witness statement regarding the real accident;

comparing the content of the at least two real sets of characteristics relating to the real accident; and

determining inconsistencies between the at least two real sets of characteristics relating to the real accident based on the comparison.

827. A method, comprising:

providing to a computer system one or more real sets of characteristics relating to a real accident, wherein the one or more real sets of characteristics comprise one or more witness statements of the real accident;

storing the one or more real sets of characteristics in a memory of the computer system;

estimating a credible set of characteristics of the real accident, wherein the credible set of characteristics is estimated based on one or more physical measurements of the real accident;

storing the credible set of characteristics in the memory;

comparing the one or more real sets of characteristics to the credible set of characteristics;

determining a number of inconsistencies between the one or more real sets of characteristics and the credible set of characteristics; and

identifying a credible witness statement, wherein the credible witness statement corresponds to one of the one or more real sets of characteristics with the least number of inconsistencies with the credible set of characteristics.

828. The method of claim827, wherein characteristics of the real set of characteristics and the credible set of characteristics comprise factors relating to speed, time, and distance in the real accident.

829. The method of claim827, wherein characteristics of the real set of characteristics and the credible set of characteristics comprise factors relating to speed of a vehicle involved in the real accident, stopping distance of the vehicle involved in the real accident, and stopping time of the vehicle involved in the real accident.

830. The method of claim827, wherein the physical measurements comprise measurements of effects of the real accident.

831. The method of claim827, wherein the physical measurements comprise measurements of effects of the real accident, and wherein effects of the real accident comprise length of skid marks and magnitude of vehicle damage.

832. The method of claim827, wherein the real accident comprises a vehicle accident.

833. The method of claim827, wherein the real accident comprises a two vehicle accident.

834. A system for estimating liability, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing one or more real sets of characteristics relating to a real accident, wherein the one or more real sets of characteristics comprise one or more witness statements of the real accident;

storing the one or more real sets of characteristics in the data memory;

estimating a credible set of characteristics of the real accident, wherein the credible set of characteristics is estimated based on one or more physical measurements of the real accident;

storing the credible set of characteristics in the data memory;

comparing the one or more real sets of characteristics to the credible set of characteristics;

determining a number of inconsistencies between the one or more real sets of characteristics and the credible set of characteristics; and

identifying a credible witness statement, wherein the credible witness statement corresponds to one of the one or more real sets of characteristics with the least number of inconsistencies with the credible set of characteristics.

835. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method comprising:

providing to a computer system one or more real sets of characteristics relating to a real accident, wherein the one or more real sets of characteristics comprise one or more witness statements of the real accident;

storing the one or more real sets of characteristics in a memory of the computer system;

estimating a credible set of characteristics of the real accident, wherein the credible set of characteristics is estimated based on one or more physical measurements of the real accident;

storing the credible set of characteristics in the memory;

comparing the one or more real sets of characteristics to the credible set of characteristics;

determining a number of inconsistencies between the one or more real sets of characteristics and the credible set of characteristics; and

identifying a credible witness statement, wherein the credible witness statement corresponds to one of the one or more real sets of characteristics with the least number of inconsistencies with the credible set of characteristics.

836. A method, comprising:

providing to a computer system one or more real sets of characteristics relating to a real accident, wherein the one or more real sets of characteristics comprise one or more witness statements of the real accident;

storing the one or more real sets of characteristics in a memory;

estimating a credible set of characteristics of the real accident, wherein the credible set of characteristics is determined from physical measurements of the real accident;

storing the credible set of characteristics in the memory;

comparing the one or more real sets of characteristics to the credible set of characteristics;

determining a number of inconsistencies between the one or more real sets of characteristics and the credible set of characteristics; and

determining a credible real set of characteristics, wherein the credible real set of characteristics correspond to characteristics of the real sets of characteristics that are consistent with characteristics of the credible set of characteristics.

837. The method of claim836, wherein characteristics of the real sets of characteristics and the credible set of characteristics comprise factors relating to speed, time, and distance in the real accident.

838. The method of claim836, wherein characteristics of the real sets of characteristics and the credible set of characteristics comprise factors relating to speed of a vehicle involved in the real accident, stopping distance of the vehicle involved in the real accident, and stopping time of the vehicle involved in the real accident.

839. The method of claim836, wherein the physical measurements comprise measurements of effects of the real accident.

840. The method of claim836, wherein the physical measurements comprise measurements of effects of the real accident, and wherein the effects of the real accident comprise length of skid marks and magnitude of vehicle damage.

841. The method of claim836, wherein the real accident comprises a vehicle accident.

842. The method of claim836, wherein the real accident comprises a two vehicle accident.

843. A system for estimating liability, comprising:

a CPU;

a data memory coupled to the CPU; and

a system memory coupled to the CPU, wherein the system memory is configured to store one or more computer programs executable by the CPU, and wherein the computer programs are executable to implement a method for estimating liability, the method comprising:

providing one or more real sets of characteristics relating to a real accident, wherein the one or more real sets of characteristics comprise one or more witness statements of the real accident;

storing the one or more real sets of characteristics in the data memory;

estimating a credible set of characteristics of the real accident, wherein the credible set of characteristics is determined from physical measurements of the real accident;

storing the credible set of characteristics in the data memory;

comparing the one or more real sets of characteristics to the credible set of characteristics;

determining a number of inconsistencies between the one or more real sets of characteristics and the credible set of characteristics; and

determining a credible real set of characteristics, wherein the credible real set of characteristics correspond to characteristics of the real sets of characteristics that are consistent with characteristics of the credible set of characteristics.

844. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method comprising:

providing to a computer system one or more real sets of characteristics relating to a real accident, wherein the one or more real sets of characteristics comprise one or more witness statements of the real accident;

storing the one or more real sets of characteristics in a memory;

estimating a credible set of characteristics of the real accident, wherein the credible set of characteristics is determined from physical measurements of the real accident;

storing the credible set of characteristics in the memory;

comparing the one or more real sets of characteristics to the credible set of characteristics;

determining a number of inconsistencies between the one or more real sets of characteristics and the credible set of characteristics; and

determining a credible real set of characteristics, wherein the credible real set of characteristics correspond to characteristics of the real sets of characteristics that are consistent with characteristics of the credible set of characteristics.

Images