Movatterモバイル変換


[0]ホーム

URL:


WO2020083401A1 - Method for configuring on-duty posts of traffic police in urban road environment - Google Patents

Method for configuring on-duty posts of traffic police in urban road environment
Download PDF

Info

Publication number
WO2020083401A1
WO2020083401A1PCT/CN2019/113478CN2019113478WWO2020083401A1WO 2020083401 A1WO2020083401 A1WO 2020083401A1CN 2019113478 WCN2019113478 WCN 2019113478WWO 2020083401 A1WO2020083401 A1WO 2020083401A1
Authority
WO
WIPO (PCT)
Prior art keywords
unit
boundary
road network
travel time
duty
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2019/113478
Other languages
French (fr)
Chinese (zh)
Inventor
饶欢
吕伟韬
陈凝
潘阳阳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
JIANGSU ZHITONG TRANSPORTATION TECHNOLOGY Co Ltd
Original Assignee
JIANGSU ZHITONG TRANSPORTATION TECHNOLOGY Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by JIANGSU ZHITONG TRANSPORTATION TECHNOLOGY Co LtdfiledCriticalJIANGSU ZHITONG TRANSPORTATION TECHNOLOGY Co Ltd
Publication of WO2020083401A1publicationCriticalpatent/WO2020083401A1/en
Anticipated expirationlegal-statusCritical
Ceasedlegal-statusCriticalCurrent

Links

Images

Classifications

Definitions

Landscapes

Abstract

A method for configuring on-duty posts of traffic police in an urban road environment. The method comprises: acquiring travel time data of each road segment in an urban road network, and acquiring key point position information in the urban road network; and dividing, on the basis of actual traffic flow measurement data of the road network, the road network into a grid, and determining the positions of on-duty posts in the road network by considering both coverage of critical points of interest by the on-duty posts and time spent by police officers traveling from the on-duty posts to the points of interest. The method for configuring on-duty posts of traffic police in an urban road environment changes current on-duty location deployment methods that mainly rely on past experience, such that on-duty posts completely cover all critical points of interest in a road network, and the time required by police officers to arrive at the scene of an incident is minimized within expanse ranges of the on-duty posts.

Description

Translated fromChinese
城市道路交警执勤岗点配置方法Urban road traffic police duty post allocation method技术领域Technical field

本发明涉及一种城市道路交警执勤岗点配置方法。The invention relates to a method for allocating duty posts of urban road traffic police.

背景技术Background technique

随着城市道路交通的快速发展,日益严峻的交通拥堵、事故等交通管控问题为交警日常勤务工作带来了压力。目前的交警勤务工作中,大多需要在路面配置执勤岗点,并安排警员负责岗点周边区域的排堵保畅、事故处理等工作。常用的岗点部署方法,通常是根据路网规模、关键点分布情况以及警员数量等实际情况,结合勤务工作经验进行岗点排布。但此类方法容易出现岗点安排不合理的情况,岗点覆盖不全、岗点排布过密均会影响警员在现场的勤务工作处理效率,尤其在处理道路拥堵、交通事故等时效性要求较高的勤务工作时,对岗点布设的合理性要求更高。With the rapid development of urban road traffic, increasingly severe traffic congestion, accidents and other traffic management and control issues have put pressure on traffic police's daily duties. In the current traffic police service work, most of them need to configure duty posts on the road surface, and arrange police officers to be responsible for traffic jam prevention and accident handling in the area around the posts. The commonly used post deployment methods are usually based on the actual situation of the road network scale, the distribution of key points and the number of police officers, and the placement of posts based on the work experience. However, this type of method is prone to unreasonable arrangement of posts. Incomplete coverage of posts and densely arranged posts will affect the efficiency of police officers' on-site duty handling, especially when dealing with road congestion and traffic accidents. The higher the duty, the higher the rationality of the placement of posts.

发明内容Summary of the invention

本发明的目的是提供一种城市道路交警执勤岗点配置方法解决现有技术中存在的岗点安排不合理的情况,岗点覆盖不全、岗点排布过密均会影响警员在现场的勤务工作处理效率的问题。The purpose of the present invention is to provide an urban road traffic police duty station configuration method to solve the unreasonable situation in the prior art. The incomplete coverage of the duty stations and the densely arranged positions will affect the police officers on the spot. The efficiency of service work.

本发明的技术解决方案是:The technical solution of the present invention is:

一种城市道路交警执勤岗点配置方法,以路网交通运行实测数据为支撑,对路网做网格化处理,综合考虑岗点对重点关注点的覆盖情况以及警员从岗点至关注点的时间成本,确定路网内的执勤岗点位置;包括以下步骤,An urban road traffic police duty post configuration method, supported by actual measured data of road network traffic operation, gridding the road network, comprehensively considering the coverage of the post to the key points of concern and the police officers from the post to the point of concern Time cost, determine the position of the duty station in the road network; including the following steps,

S1、获取城市路网内各路段的行程时间数据,获取城市路网中的关键点位置信息;S1. Obtain the travel time data of each road segment in the urban road network and obtain the position information of key points in the urban road network;

S2、对城市路网做网格化处理,将关键点对应所属单元作为中心单元ci,生成路网中心集合C={c1,c2,...,cn},其中i为中心单元序号,n为路网内中心单元数量;S2. Perform grid processing on the urban road network, take the key point corresponding to the unit as the central unit ci , and generate the road network center set C = {c1 , c2 , ..., cn }, where i is the center Unit number, n is the number of central units in the road network;

S3、对于任一中心单元ci,将其作为初始起点,遍历与ci存在共同边界的单元集L1(i)={l11,...,l1j,...,l1k1}中元素,计算其中任一单元l1j至单元ci的行程时间TT(l1j→ci),其中k1为与ci存在共同边界的单元数量,j∈[1,k1];S3. For any central cell ci , use it as an initial starting point, and traverse the cell set L1 (i) = {l11 , ..., l1j , ..., l1k1 } that has a common boundary with ci Element, calculate the travel time TT (l1j → ci ) from any unit l1j to unit ci , where k1 is the number of units that share a common boundary with ci , j∈ [1, k1];

S4、若TT(l1j→ci)<TT0,其中,TT0为行程时间临界值,则在单元l1j中进行行程时间标记;否则,将单元l1j从单元集L1(i)中删除;S4. If TT (l1j → ci ) <TT0 , where TT0 is the critical value of the travel time, the travel time is marked in the unit l1j ; otherwise, the unit l1j is removed from the unit set L1 (i) delete;

S5、检查所有单元集是否均不为空集,若是,则将当前单元集中元素作为新一级遍历的起点,对其中任一单元,将与其存在共同边界且不属于该单元集的相邻单元组成下一级单元集,计算其中任一元素至单元ci的行程时间;若行程时间低于TT0,则在单元中标记行程时间,否则将该元素从单元集中删除;重复S5;若所有单元集均为空集,则进入步骤S6;S5. Check whether all cell sets are not empty sets. If so, use the elements in the current cell set as the starting point for a new level of traversal. For any cell, there will be a common boundary with its neighbors that are not part of the cell set. Form the next-level unit set, and calculate the travel time from any element to unit ci ; if the travel time is less than TT0 , mark the travel time in the unit, otherwise delete the element from the unit set; repeat S5; if all If the unit sets are all empty sets, go to step S6;

S6、路网中心集合C={c1,c2,...,cn}中的任一单元ci,都在遍历过程中生成了一组多级数据集,组成以ci为中心的辐射区域Ai,在该区域中的每一单元均标记了到达ci的行程时间;识别出辐射区域Ai的边界,将所有位于Ai边界的单元组成边界单元集BiS6. Any unit ci in the set C = {c1 , c2 , ..., cn } of the road network center generates a set of multi-level data sets during the traversal process, composed of ci as the center The radiation area Ai of each cell in the area is marked with the travel time to reach ci ; the boundary of the radiation area Ai is identified, and all the cells located at the boundary of Ai form the boundary cell set Bi ;

S7、边界单元集合B1,B2,...,Bn中的任一边界单元unitu,u为单元序号,确定其所属的边界单元,并计算其边界叠加数num_isu,即该单元所属边界单元集合数;若num_isu>N0,则根据unitu中标记的到各中心单元的行程时间,选出行程时间最小的N0个作为unitu的关联中心并组成集合CCu;其中N0为单元最大叠加阈值;若num_isu≤N0,则将其所有归属边界单元对应的中心作为其关联中心;S7. Any boundary unit unitu in the boundary unit set B1 , B2 , ..., Bn , u is the unit number, determine the boundary unit to which it belongs, and calculate the boundary superposition number num_isu , that is, the unit The number of boundary unit sets to which it belongs; if num_isu > N0 , according to the travel time marked in unitu to each central unit, the N0 with the smallest travel time are selected as the associated centers of unitu and form the set CCu ; N0 is the maximum stacking threshold of the unit; if num_isu ≤ N0 , then the centers corresponding to all its belonging boundary cells are taken as its associated centers;

S8、从关联中心数量最多的单元unitmax开始配置关键点的服务岗点,逐级更新边界单元与关联中心集,为步骤S2的所有中心配置服务岗点。S8. Starting from the unitmax with the largest number of associated centers, configure service posts for key points, update the boundary cell and associated center set step by step, and configure service posts for all centers in step S2.

进一步地,步骤S1中,行程时间数据通过直接估计方式或通过行驶速度间接估计方式得到,其中直接估计方式包括通过号牌识别、RFID检测、GPS定位方式。Further, in step S1, the travel time data is obtained by a direct estimation method or an indirect estimation method by driving speed, where the direct estimation method includes number plate recognition, RFID detection, and GPS positioning method.

进一步地,步骤S8具体为:Further, step S8 is specifically:

S81、从关联中心数量最多的单元unitmax开始配置环节,将该单元作为其关联中心集合CCmax对应岗点;S81, the configuration link starts with the unitmax with the largest number of associated centers, and the unit is used as a post corresponding to its associated center set CCmax ;

S82、检查在以该单元为中心、以r为半径的区域内,是否存在其他边界单元;若存在,则删除其他边界单元以及其关联中心集合;其中r为设置的岗点服务半径长度;S82. Check if there are other boundary cells in the area centered on the cell and r as the radius; if there are, delete the other boundary cells and their associated center sets; where r is the set radius of the post service radius;

S83、其他所有单元的关联中心集均去除CCmax中的元素,更新其他单元的关联中心集;S83. The associated center sets of all other units remove the elements in CCmax , and update the associated center sets of other units;

S84、返回步骤S81,开始新一轮岗点配置与更新,直至所有单元的关联中心集为空集;S84. Return to step S81, and start a new round of post configuration and update until the associated center set of all units is an empty set;

S85、检测步骤S2中的所有关键点是否均配置有岗点,若是,则结束流程;否则,将未配置岗点的关键点组成降级中心集DC,将其中各元素在步骤S6中生成的辐射区域与边界单元集进行更新,更新方法为:对于任一降级中心cd,原辐射区域Ad与对应边界单元集为Bd,辐射区域更新为

Figure PCTCN2019113478-appb-000001
将更新后的辐射区域的边界单元组成更新后的边界单元集Bd’;对于降级中心集DC,返回至步骤S7。S85. Check whether all the key points in step S2 are equipped with post points, and if so, end the process; otherwise, the key points without the post points are formed into a degraded center set DC, and the radiation generated by each element in step S6 The region and the boundary element set are updated by updating the method as follows: For any degraded center cd , the original radiation area Ad and the corresponding boundary element set are Bd , and the radiation area is updated as
Figure PCTCN2019113478-appb-000001
The updated boundary unit of the radiated area is composed of the updated boundary unit set Bd ′; for the degraded center set DC, return to step S7.

进一步地,步骤S81中,若存在多个单元的关联中心数量一致,则从中随机取一单元作为unitmaxFurther, in step S81, if the number of associated centers of multiple units is the same, a unit is randomly selected as unitmax .

本发明的有益效果是:该种城市道路交警执勤岗点配置方法,以常发拥堵点、事故黑点等交通管控工作中重点关注的位置为核心,以路网交通运行实测数据为支撑,对路网做网格化处理,综合考虑岗点对重点关注点的覆盖情况以及警员从岗点至关注点的时间成本,确定路网内的执勤岗点位置,并明确每一岗点主要服务区域。该种城市道路交警执勤岗点配置方法,能够改变当前以经验为主的岗点部署方法,使得岗点能够全面覆盖路网所有重点关注点位,在岗点的辐射范围内,将警员到达事件发生位置所需投入的时间成本最小化。The beneficial effect of the present invention is that this method of configuring urban road traffic police duty posts is centered on the locations that are most concerned in traffic management and control such as frequent congestion points and accident black spots, and is supported by actual measured data of road network traffic operations. The road network is grid-processed, comprehensively considering the coverage of the posts to the key points of interest and the time cost of the police officers from the posts to the points of interest, to determine the positions of the duty posts in the road network, and to clarify the main services of each post region. This kind of urban road traffic police duty post configuration method can change the current experience-based deployment method of the post, so that the post can fully cover all key points of attention in the road network, and within the radiation range of the post, the police will arrive at the incident The time cost required to invest in the location is minimized.

附图说明BRIEF DESCRIPTION

图1是本发明实施例城市道路交警执勤岗点配置方法的结构示意图。FIG. 1 is a schematic structural diagram of an urban road traffic police duty station allocation method according to an embodiment of the present invention.

具体实施方式detailed description

下面结合附图详细说明本发明的优选实施例。The preferred embodiments of the present invention will be described in detail below with reference to the drawings.

实施例Examples

一种城市道路交警执勤岗点配置的方法,以路网交通运行实测数据为支撑,对路网做网格化处理,综合考虑岗点对重点关注点的覆盖情况以及警员从岗点至关注点的时间成本,确定路网内的执勤岗点位置;A method for the allocation of duty posts for urban road traffic police, supported by the actual measured data of road network traffic operation, gridding the road network, comprehensively considering the coverage of the posts to the key points of concern and the police officers from the posts to the attention The time cost of the point, determine the position of the duty post in the road network;

如图1,包括以下步骤:As shown in Figure 1, includes the following steps:

S1、获取城市路网内各路段的行程时间数据,实施例中行程时间数据可通过 号牌识别、RFID检测、GPS定位等方式直接估计,或通过行驶速度间接估计;在一个实施例中,以一个月内的在早高峰时段的各路段行驶速度实测值作为基础数据,估计路段平均行程时间;获取城市路网中的关键点位置信息,所述关键点是指需要重点关注的路口、路段,包括拥堵常发点、事故黑点等。S1. Obtain the travel time data of each road segment in the urban road network. In the embodiment, the travel time data can be estimated directly by means of number plate identification, RFID detection, GPS positioning, etc., or indirectly estimated by the driving speed; in one embodiment, the The measured values of the driving speed of each road segment in the morning peak period within one month are used as the basic data to estimate the average travel time of the road segment; obtain the location information of key points in the urban road network, the key points refer to the intersections and road segments that need to be focused on, Including frequent points of congestion, black spots of accidents, etc.

S2、对城市路网做网格化处理,实施例中,网格化处理形式包括四边形网格、正六边形蜂窝网格;将关键点对应所属单元作为中心单元ci,生成路网中心集合C={c1,c2,...,cn},其中i为中心单元序号,n为路网内中心单元数量。S2. Perform grid processing on the urban road network. In the embodiment, the grid processing includes a quadrilateral grid and a regular hexagonal honeycomb grid; the key point corresponding to the unit as the central unit ci to generate a road network center set C = {c1 , c2 , ..., cn }, where i is the serial number of the central unit and n is the number of central units in the road network.

S3、对于任一中心单元ci,将其作为初始起点,遍历与ci存在共同边界的单元集L1(i)={l11,...,l1j,...,l1k1}中元素,计算其中任一单元l1j至单元ci的行程时间TT(l1j→ci),其中k1为与ci存在共同边界的单元数量,j∈[1,k1]。S3. For any central cell ci , use it as an initial starting point, and traverse the cell set L1 (i) = {l11 , ..., l1j , ..., l1k1 } that has a common boundary with ci Element, calculate the travel time TT (l1j → ci ) from any unit l1j to unit ci , where k1 is the number of units that share a common boundary with ci , j∈ [1, k1].

S4、若TT(l1j→ci)<TT0,其中,TT0为行程时间临界值,则在单元l1j中进行行程时间标记;否则,将单元l1j从单元集L1(i)中删除。S4. If TT (l1j → ci ) <TT0 , where TT0 is the critical value of the travel time, the travel time is marked in the unit l1j ; otherwise, the unit l1j is removed from the unit set L1 (i) delete.

S5、检查所有单元集是否均不为空集,若是,则将当前单元集中元素作为新一级遍历的起点,对其中任一单元,将与其存在共同边界且不属于该单元集的相邻单元组成下一级单元集,计算其中任一元素至单元ci的行程时间;若行程时间低于TT0,则在单元中标记行程时间,否则将该元素从单元集中删除;重复S5;若所有单元集均为空集,则进入步骤S6。S5. Check whether all cell sets are not empty sets. If so, use the elements in the current cell set as the starting point for a new level of traversal. For any cell, there will be a common boundary with its neighbors that are not part of the cell set. Form the next-level unit set, and calculate the travel time from any element to unit ci ; if the travel time is less than TT0 , mark the travel time in the unit, otherwise delete the element from the unit set; repeat S5; if all If the cell sets are all empty sets, step S6 is entered.

S6、路网中心集合C={c1,c2,...,cn}中的任一单元ci,都在遍历过程中生成了一组多级数据集,组成以ci为中心的辐射区域Ai,在该区域中的每一单元均标记了到达ci的行程时间;识别出辐射区域Ai的边界,将所有位于Ai边界的单元组成边界单元集BiS6. Any unit ci in the set C = {c1 , c2 , ..., cn } of the road network center generates a set of multi-level data sets during the traversal process, composed of ci as the center The radiation area Ai of each area in the area is marked with the travel time to reach ci ; the boundary of the radiation area Ai is identified, and all the cells located at the boundary of Ai form the boundary cell set Bi .

S7、边界单元集合B1,B2,...,Bn中的任一边界单元unitu,u为单元序号,确定其所属的边界单元,并计算其边界叠加数num_isu,即该单元所属边界单元集合数;若num_isu>N0,则根据unitu中标记的到各中心单元的行程时间,选出行程时间最小的N0个作为unitu的关联中心并组成集合CCu;其中N0为单元最大叠加阈值;若num_isu≤N0,则将其所有归属边界单元对应的中心作为其关联中心。S7. Any boundary unit unitu in the boundary unit set B1 , B2 , ..., Bn , u is the unit number, determine the boundary unit to which it belongs, and calculate the boundary superposition number num_isu , that is, the unit The number of boundary unit sets to which it belongs; if num_isu > N0 , according to the travel time marked in unitu to each central unit, the N0 with the smallest travel time are selected as the associated centers of unitu and form the set CCu ; N0 is the maximum stacking threshold of the unit; if num_isu ≤ N0 , then the centers corresponding to all its belonging boundary cells are taken as their associated centers.

S8、从关联中心数量最多的单元unitmax开始配置关键点的服务岗点,逐级更新边界单元与关联中心集,为步骤S2的所有中心配置服务岗点;具体步骤为:S8. Starting from the unitmax with the largest number of associated centers, configure the service points of key points, update the boundary unit and the set of associated centers step by step, and configure the service points for all centers in step S2; the specific steps are:

S81、从关联中心数量最多的单元unitmax开始配置环节,若存在多个单元的关联中心数量一致,则从中随机取一单元作为unitmax;将该单元作为其关联中心集合CCmax对应岗点。S81. The configuration link starts from the unitmax with the largest number of associated centers. If there are multiple units with the same number of associated centers, a unit is randomly selected as the unitmax ; this unit is used as the corresponding point of its associated center set CCmax .

S82、检查在以该单元为中心、以r为半径的区域内,是否存在其他边界单元;若存在,则删除其他边界单元以及其关联中心集合;其中r为设置的岗点服务半径长度。S82. Check if there are other boundary cells in the area centered on the cell and r as the radius; if there are, delete the other boundary cells and their associated center sets; where r is the set service point radius length.

S83、其他所有单元的关联中心集均去除CCmax中的元素,更新其他单元的关联中心集。S83. The associated center sets of all other units remove the elements in CCmax , and update the associated center sets of other units.

S84、返回步骤S81,开始新一轮岗点配置与更新,直至所有单元的关联中心集为空集。S84. Return to step S81 to start a new round of post location configuration and update until the associated central set of all units is an empty set.

S85、检测步骤S2中的所有关键点是否均配置有岗点,若是,则结束流程;否则,将未配置岗点的关键点组成降级中心集DC,将其中各元素在步骤S6中生成的辐射区域与边界单元集进行更新,更新方法为:对于任一降级中心cd,原辐射区域Ad与对应边界单元集为Bd,辐射区域更新为

Figure PCTCN2019113478-appb-000002
将更新后的辐射区域的边界单元组成更新后的边界单元集Bd’;对于降级中心集DC,返回至步骤S7。S85. Check whether all the key points in step S2 are equipped with post points, and if so, end the process; otherwise, the key points without the post points are formed into a degraded center set DC, and the radiation generated by each element in step S6 The region and the boundary element set are updated by updating the method as follows: For any degraded center cd , the original radiation area Ad and the corresponding boundary element set are Bd , and the radiation area is updated as
Figure PCTCN2019113478-appb-000002
The updated boundary unit of the radiated area is composed of the updated boundary unit set Bd ′; for the degraded center set DC, return to step S7.

该种城市道路交警执勤岗点配置方法,以常发拥堵点、事故黑点等交通管控工作中重点关注的位置为核心,以路网交通运行实测数据为支撑,对路网做网格化处理,综合考虑岗点对重点关注点的覆盖情况以及警员从岗点至关注点的时间成本,确定路网内的执勤岗点位置,并明确每一岗点主要服务区域。This kind of urban road traffic police duty station configuration method focuses on the locations that are often focused on in traffic management and control such as frequent congestion points and accident black spots. It is supported by the actual measurement data of the road network traffic operation, and the road network is meshed. , Comprehensively consider the coverage of the post to the key points of interest and the time cost of the police officers from the post to the point of interest, determine the position of the duty post in the road network, and clarify the main service area of each post.

实施例中,交警执勤岗点位置根据道路交通实际运行情况确定,同时重点考虑岗点对于重点关注点的覆盖情况以及从岗点到达重点关注点的行程时间,达到节约警力资源同时提升警员勤务工作效率的目的,与传统岗点布置方式相比更具合理性。In the embodiment, the position of the traffic police duty post is determined according to the actual operation situation of road traffic, and at the same time, the coverage of the post to the key focus point and the travel time from the post to the key focus point are taken into consideration, so as to save the police force resources and improve the police service The purpose of work efficiency is more reasonable compared with the traditional post layout.

该种城市道路交警执勤岗点配置方法,能够改变当前以经验为主的岗点部署方法,使得岗点能够全面覆盖路网所有重点关注点位,在岗点的辐射范围内,将警员到达事件发生位置所需投入的时间成本最小化。This kind of urban road traffic police duty post configuration method can change the current experience-based deployment method of the post, so that the post can fully cover all key points of attention in the road network, and within the radiation range of the post, the police will arrive at the incident The time cost required to invest in the location is minimized.

Claims (4)

Translated fromChinese
一种城市道路交警执勤岗点配置方法,其特征在于:以路网交通运行实测数据为支撑,对路网做网格化处理,综合考虑岗点对重点关注点的覆盖情况以及警员从岗点至关注点的时间成本,确定路网内的执勤岗点位置;包括以下步骤,An urban road traffic police duty station allocation method, which is characterized by: the road network traffic measurement data as the support, grid processing of the road network, comprehensive consideration of the coverage of the point of focus to the key points of attention and the police officer The time cost from point to point of interest, to determine the position of the duty station in the road network; including the following steps,S1、获取城市路网内各路段的行程时间数据,获取城市路网中的关键点位置信息;S1. Obtain the travel time data of each road segment in the urban road network and obtain the position information of key points in the urban road network;S2、对城市路网做网格化处理,将关键点对应所属单元作为中心单元ci,生成路网中心集合C={c1,c2,…,cn},其中i为中心单元序号,n为路网内中心单元数量;S2. Perform grid processing on the urban road network, take the key point corresponding to the unit as the central unit ci , and generate the road network center set C = {c1 , c2 , ..., cn }, where i is the serial number of the central unit , N is the number of central units in the road network;S3、对于任一中心单元ci,将其作为初始起点,遍历与ci存在共同边界的单元集L1(i)={l11,…,l1j,…,l1k1}中元素,计算其中任一单元l1j至单元ci的行程时间TT(l1j→ci),其中k1为与ci存在共同边界的单元数量,j∈[1,k1];S3. For any central cell ci , use it as an initial starting point, traverse the elements in the cell set L1 (i) = {l11 , ..., l1j , ..., l1k1 } that share a common boundary with ci , and calculate The travel time TT (l1j → ci ) of any unit l1j to unit ci , where k1 is the number of units that share a common boundary with ci , j∈ [1, k1];S4、若TT(l1j→ci)<TT0,其中,TT0为行程时间临界值,则在单元l1j中进行行程时间标记;否则,将单元l1j从单元集L1(i)中删除;S4. If TT (l1j → ci ) <TT0 , where TT0 is the critical value of the travel time, the travel time is marked in the unit l1j ; otherwise, the unit l1j is removed from the unit set L1 (i) delete;S5、检查所有单元集是否均不为空集,若是,则将当前单元集中元素作为新一级遍历的起点,对其中任一单元,将与其存在共同边界且不属于该单元集的相邻单元组成下一级单元集,计算其中任一元素至单元ci的行程时间;若行程时间低于TT0,则在单元中标记行程时间,否则将该元素从单元集中删除;重复S5;若所有单元集均为空集,则进入步骤S6;S5. Check whether all cell sets are not empty sets. If so, use the elements in the current cell set as the starting point for a new level of traversal. For any cell, there will be a common boundary with its neighbors that are not part of the cell set. Form the next-level unit set, and calculate the travel time from any element to unit ci ; if the travel time is less than TT0 , mark the travel time in the unit, otherwise delete the element from the unit set; repeat S5; if all If the unit sets are all empty sets, go to step S6;S6、路网中心集合C={c1,c2,…,cn}中的任一单元ci,都在遍历过程中生成了一组多级数据集,组成以ci为中心的辐射区域Ai,在该区域中的每一单元均标记了到达ci的行程时间;识别出辐射区域Ai的边界,将所有位于Ai边界的单元组成边界单元集BiS6. Any unit ci in the road network center set C = {c1 , c2 , ..., cn } generates a set of multi-level data sets during the traversal process, forming a radiation centered on ci In the area Ai , each unit in the area is marked with the travel time to reach ci ; the boundary of the radiation area Ai is identified, and all the units located at the boundary of Ai form the boundary unit set Bi ;S7、边界单元集合B1,B2,…,Bn中的任一边界单元unitu,u为单元序号,确定其所属的边界单元,并计算其边界叠加数num_isu,即该单元所属边界单元集合数;若num_isu>N0,则根据unitu中标记的到各中心单元的行程时间,选出行程时间最小的N0个作为unitu的关联中心并组成集合CCu;其中N0为单元最大叠加阈值;若num_isu≤N0,则将其所有归属边界单元对应的中心作为其关联中心;S7. Any boundary unit unitu in the boundary unit set B1 , B2 , ..., Bn , u is the unit number, determine the boundary unit to which it belongs, and calculate the boundary superposition number num_isu , that is, the boundary to which the unit belongs The number of unit sets; if num_isu > N0 , according to the travel time to each central unit marked in unitu , the N0 with the smallest travel time are selected as the associated centers of unitu and form the set CCu ; where N0 Is the maximum superposition threshold of the unit; if num_isu ≤N0 , then the centers corresponding to all its belonging boundary cells are taken as their associated centers;S8、从关联中心数量最多的单元unitmax开始配置关键点的服务岗点,逐级更新边界单元与关联中心集,为步骤S2的所有中心配置服务岗点。S8. Starting from the unitmax with the largest number of associated centers, configure service posts for key points, update the boundary cell and associated center set step by step, and configure service posts for all centers in step S2.如权利要求1所述的城市道路交警执勤岗点配置方法,其特征在于:步骤S1中,行程时间数据通过直接估计方式或通过行驶速度间接估计方式得到,其中直接估计方式包括通过号牌识别、RFID检测、GPS定位方式。The urban road traffic police duty post allocation method according to claim 1, characterized in that: in step S1, the travel time data is obtained by a direct estimation method or an indirect estimation method of driving speed, wherein the direct estimation method includes identification by number plate, RFID detection, GPS positioning method.如权利要求1所述的城市道路交警执勤岗点配置方法,其特征在于:步骤S8具体为:The urban road traffic police duty station allocation method according to claim 1, wherein step S8 is specifically:S81、从关联中心数量最多的单元unitmax开始配置环节,将该单元作为其关联中心集合CCmax对应岗点;S81, the configuration link starts with the unitmax with the largest number of associated centers, and the unit is used as a post corresponding to its associated center set CCmax ;S82、检查在以该单元为中心、以r为半径的区域内,是否存在其他边界单元;若存在,则删除其他边界单元以及其关联中心集合;其中r为设置的岗点服务半径长度;S82. Check if there are other boundary cells in the area centered on the cell and r as the radius; if there are, delete the other boundary cells and their associated center sets; where r is the set radius of the post service radius;S83、其他所有单元的关联中心集均去除CCmax中的元素,更新其他单元的关联中心集;S83. The associated center sets of all other units remove the elements in CCmax , and update the associated center sets of other units;S84、返回步骤S81,开始新一轮岗点配置与更新,直至所有单元的关联中心集为空集;S84. Return to step S81, and start a new round of post configuration and update until the associated center set of all units is an empty set;S85、检测步骤S2中的所有关键点是否均配置有岗点,若是,则结束流程;否则,将未配置岗点的关键点组成降级中心集DC,将其中各元素在步骤S6中生成的辐射区域与边界单元集进行更新,更新方法为:对于任一降级中心cd,原辐射区域Ad与对应边界单元集为Bd,辐射区域更新为
Figure PCTCN2019113478-appb-100001
将更新后的辐射区域的边界单元组成更新后的边界单元集Bd’;对于降级中心集DC,返回至步骤S7。S85. Check whether all the key points in step S2 are equipped with post points, and if so, end the process; otherwise, the key points without the post points are formed into a degraded center set DC, and the radiation generated by each element in step S6 The region and the boundary element set are updated by updating the method as follows: For any degraded center cd , the original radiation area Ad and the corresponding boundary element set are Bd , and the radiation area is updated as
Figure PCTCN2019113478-appb-100001
The updated boundary unit of the radiated area is composed of the updated boundary unit set Bd ′; for the degraded center set DC, return to step S7.如权利要求3所述的城市道路交警执勤岗点配置方法,其特征在于:步骤S81中,若存在多个单元的关联中心数量一致,则从中随机取一单元作为unitmaxThe method for allocating duty posts for urban road traffic police according to claim 3, wherein in step S81, if the number of associated centers of multiple units is the same, a unit is randomly selected as unitmax .
PCT/CN2019/1134782018-10-262019-10-26Method for configuring on-duty posts of traffic police in urban road environmentCeasedWO2020083401A1 (en)

Applications Claiming Priority (2)

Application NumberPriority DateFiling DateTitle
CN201811264321.72018-10-26
CN201811264321.7ACN109191853B (en)2018-10-262018-10-26Method for configuring on-duty post points of urban road traffic police

Publications (1)

Publication NumberPublication Date
WO2020083401A1true WO2020083401A1 (en)2020-04-30

Family

ID=64943927

Family Applications (1)

Application NumberTitlePriority DateFiling Date
PCT/CN2019/113478CeasedWO2020083401A1 (en)2018-10-262019-10-26Method for configuring on-duty posts of traffic police in urban road environment

Country Status (2)

CountryLink
CN (1)CN109191853B (en)
WO (1)WO2020083401A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN109191853B (en)*2018-10-262021-07-09江苏智通交通科技有限公司Method for configuring on-duty post points of urban road traffic police

Citations (6)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US20020018004A1 (en)*2000-03-032002-02-14Subhash RaswantAlternating time band sequence "ATBS-2W "
CN104317583A (en)*2014-10-212015-01-28合肥星服信息科技有限责任公司Road congestion optimization algorithm based on grid theory
CN105741548A (en)*2016-04-192016-07-06上海理工大学Method for generating traffic state cloud atlas
CN107610498A (en)*2017-10-102018-01-19盐城师范学院A kind of automobile trip of city traffic peak period automatically selects route methods
CN108572999A (en)*2017-03-142018-09-25腾讯科技(深圳)有限公司The searching method and device of interest face AOI profiles
CN109191853A (en)*2018-10-262019-01-11江苏智通交通科技有限公司Urban road traffic police on duty hilllock point configuration method

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US4998962A (en)*1989-01-251991-03-12Wallace EdwardsPrinting method and printed product
WO2008014562A1 (en)*2006-08-032008-02-07Commonwealth Scientific & Industrial Research OrganisationDistributed energy management
EP2320398B1 (en)*2009-10-282012-11-14Honeywell International Inc.Fire sensor and method of detecting fire
CN101872450A (en)*2009-10-302010-10-27北京交通大学 Analysis method of macro indicators of traffic police on duty based on multivariate data
CN102890852A (en)*2011-07-192013-01-23苏州科技学院Online patrolling and emergency alarming system for cell based on ZigBee
CN106128134A (en)*2016-08-102016-11-16张培A kind of traffic police turns out for work arrangement terminal

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US20020018004A1 (en)*2000-03-032002-02-14Subhash RaswantAlternating time band sequence "ATBS-2W "
CN104317583A (en)*2014-10-212015-01-28合肥星服信息科技有限责任公司Road congestion optimization algorithm based on grid theory
CN105741548A (en)*2016-04-192016-07-06上海理工大学Method for generating traffic state cloud atlas
CN108572999A (en)*2017-03-142018-09-25腾讯科技(深圳)有限公司The searching method and device of interest face AOI profiles
CN107610498A (en)*2017-10-102018-01-19盐城师范学院A kind of automobile trip of city traffic peak period automatically selects route methods
CN109191853A (en)*2018-10-262019-01-11江苏智通交通科技有限公司Urban road traffic police on duty hilllock point configuration method

Also Published As

Publication numberPublication date
CN109191853B (en)2021-07-09
CN109191853A (en)2019-01-11

Similar Documents

PublicationPublication DateTitle
CN109359880B (en)Urban road traffic duty police force deployment method
CN108415975B (en) A taxi passenger hot spot identification method based on BDCH-DBSCAN
CN106651027B (en) An optimization method of Internet shuttle bus route based on social network
CN102568209B (en)Commercial vehicle gathering event early warning method based on floating vehicle technology
CN106912015A (en)A kind of personnel&#39;s Trip chain recognition methods based on mobile network data
CN103956042B (en)A kind of intelligence of the public bicycles dispatcher-controlled territory based on graph theory division methods
US12165507B2 (en)Methods and internet of things systems for managing traffic road cleaning in smart city
CN104318324A (en)Taxi GPS (Global Positioning System) record based airport bus station and path planning method
CN112229395A (en)Patrol path planning method, computing equipment and storage medium
CN112966941B (en)Accident black spot identification method and system based on traffic accident big data
CN108806248A (en)A kind of vehicle driving track division methods for RFID electronic license plate data
CN103035123A (en)Abnormal data acquiring method and system in traffic track data
CN108230724A (en)A kind of urban mass-transit system Vehicle station name announcing missing data method for repairing and mending based on maximum probability estimation
Fang et al.Understanding the Effect of an E‐Hailing App Subsidy War on Taxicab Operation Zones
CN110096804A (en)The layout method and system of Expressway Service based on mobile terminal data
CN116434592A (en)Digital management method and system for parking spaces
CN110263783A (en)Multiple features charging addressing analysis of Influential Factors method and system based on deep learning
WO2020083401A1 (en)Method for configuring on-duty posts of traffic police in urban road environment
CN110020755B (en)City management system based on man-machine cooperation
CN110555452A (en)network problem processing method and device based on intelligent clustering
CN115862331A (en) Vehicle trajectory reconstruction method considering bayonet network topology
CN111191817A (en)Bus network topology division method based on transfer passenger flow
WO2020140391A1 (en)City grid allocation method and apparatus, and electronic terminal
CN108428342A (en)A kind of vehicle density prediction technique, device and storage medium
CN103473573B (en)The judgement of wandering public bicycles and method for tracing

Legal Events

DateCodeTitleDescription
121Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number:19874782

Country of ref document:EP

Kind code of ref document:A1

NENPNon-entry into the national phase

Ref country code:DE

122Ep: pct application non-entry in european phase

Ref document number:19874782

Country of ref document:EP

Kind code of ref document:A1

122Ep: pct application non-entry in european phase

Ref document number:19874782

Country of ref document:EP

Kind code of ref document:A1

32PNEp: public notification in the ep bulletin as address of the adressee cannot be established

Free format text:NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205 DATED 22/11/2021)


[8]ページ先頭

©2009-2025 Movatter.jp