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IEICE Transactions on Communications
Online ISSN : 1745-1345
Print ISSN : 0916-8516
IEICE/IEEE Joint Special Section on Autonomous Decentralized Systems Technologies and Their Application to Networked Systems
A Novel Real-Time Recognition Method of Vehicular Traffic Congestion by VANET
Tomotaka WADAJunya FUKUMOTOKazuhiro OHTSUKIHiromi OKADA
Author information
  • Tomotaka WADA

    Kansai University

  • Junya FUKUMOTO

    Kansai University

  • Kazuhiro OHTSUKI

    Kobe University

  • Hiromi OKADA

    Kansai University

Corresponding author

ORCID
Keywords:ITS,IVC,VANET,traffic congestion,level-n information
JOURNALRESTRICTED ACCESS

2011 Volume E94.BIssue 1Pages 55-63

DOIhttps://doi.org/10.1587/transcom.E94.B.55
Details
  • Published: January 01, 2011Received: April 24, 2010Available on J-STAGE: January 01, 2011Accepted: -Advance online publication: -Revised: -
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Abstract
Various recent intelligent transport system projects are promoting vehicle safety and efficient vehicular traffic control all over the world. One of ITS applications is a system that solves road traffic problems by using vehicular communications technology. Inter-vehicle communication (IVC) is the communications technology for vehicles to exchange moving vehicle information by wireless networks without any base stations. The Vehicular Ad-hoc Network (VANET) is expected to provide new applications for passengers of vehicles by enabling vehicles to communicate with each other via IVC as well as with roadside base stations via roadside-to-vehicle communications. However, when each vehicle transmits its own information to neighboring vehicles, the amount of information being transmitted increases significantly. To solve this problem, we present a novel real-time recognition method for vehicular traffic congestion via VANET with IVC. Vehicles collect the original GPS information of other vehicles by communicating with each other, and they create content that may be useful for drivers by analyzing that original information. The proposed method can reduce the information amount and deliver the analyzed contents to other vehicles efficiently. Computer simulation results show that the proposed method provides real-time information of vehicular accidents and traffic congestion to distant vehicles accurately.
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© 2011 The Institute of Electronics, Information and Communication Engineers
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