TRAFFIC SIMULATOR FOR EVALUATION OF TRAFFIC ACCIDENT INFORMATION SYSTEMS

It is important to evaluate the effectiveness of traffic accident information systems before the actual implementation of the systems; however, it is impossible to examine the systems in actual situations because of the risk of true crashes. Therefore, a traffic simulator is developed in which it is possible to: 1) cause traffic accidents under the situation of traffic flow in which plural cars run, and 2) simulate actual driver behaviors and vehicle movements of each car. Vehicle behaviors were observed in actual traffic flow, relative speeds and distances were measured between the following car and the leading car by the vehicle following experiment, and driver's consciousness concerning driving psychology was investigated. On the basis of the analysis with the observation results, a traffic flow generation model and several driver models, which describe driver behaviors such as car following and lane changing, are made and the parameters of the models are calibrated. Consequently, it is confirmed that the simulator has the ability to represent the traffic flow which agrees well with the actual ones. As an example, a simulation experiment of multiple rear-end collisions on an expressway is performed using the simulator, and it is shown that the simulator can evaluate the effectiveness of the traffic accident information systems.

  • Supplemental Notes:
    • Five volumes of papers and one volume of abstracts comprise the published set of conference materials.
  • Corporate Authors:

    VERTIS

    TORANOMOM 34 MORI BUILDING 1-25-5
    TORANOMON, MINATOKU, TOKYO 105  Japan 
  • Authors:
    • Mori, H
    • TSUJI, H
    • Ohno, H
    • KAMIYA, K
    • Goto, K
  • Conference:
  • Publication Date: 1995-11

Language

  • English

Media Info

  • Pagination: p. 1801

Subject/Index Terms

Filing Info

  • Accession Number: 00723478
  • Record Type: Publication
  • Report/Paper Numbers: Volume 4
  • Files: TRIS
  • Created Date: Jul 29 1996 12:00AM