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A Stochastic Approach for Estimating the Effectiveness of a Route Guidance System and Its Related Parameters

Author

Listed:
  • Hiroyoshi Tsuji

    (Toyota Central Research and Development Laboratories, Inc., Nagakute-cho, Aichi-ken, Japan)

  • Riichi Takahashi

    (Toyota Central Research and Development Laboratories, Inc., Nagakute-cho, Aichi-ken, Japan)

  • Hironao Kawashima

    (Keio University, Hiyoshi, Yokohama, Japan)

  • Yoshitsugu Yamamoto

    (Tsukuba University, Shinchi-gun, Ibaraki-ken, Japan)

Abstract

Mathematical models are developed for estimating the effectiveness of a route guidance system (RGS) in which the control strategy is to guide vehicles toward the shortest travel time routes. These models are formulated by considering the stochastic nature of travel time. The parameters which characterize the models are defined and a quantitative analysis of the models is given for various values of the parameters. It is shown that the effectiveness of RGS can be estimated by the number of nodes along the route. The results derived from the models are shown to agree with experimental data collected from a route guidance system constructed in Tokyo. Some practical applications of the results are discussed.

Suggested Citation

  • Hiroyoshi Tsuji & Riichi Takahashi & Hironao Kawashima & Yoshitsugu Yamamoto, 1985. "A Stochastic Approach for Estimating the Effectiveness of a Route Guidance System and Its Related Parameters," Transportation Science, INFORMS, vol. 19(4), pages 333-351, November.
    • Handle: RePEc:inm:ortrsc:v:19:y:1985:i:4:p:333-351
    DOI: 10.1287/trsc.19.4.333
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    Citations

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    Cited by:

    1. Suvrajeet Sen & Rekha Pillai & Shirish Joshi & Ajay K. Rathi, 2001. "A Mean-Variance Model for Route Guidance in Advanced Traveler Information Systems," Transportation Science, INFORMS, vol. 35(1), pages 37-49, February.
    2. repec:cdl:itsrrp:qt05j2d45c is not listed on IDEAS
    3. repec:cdl:itsrrp:qt26m3r4s0 is not listed on IDEAS
    4. repec:cdl:itsrrp:qt2pv883tz is not listed on IDEAS
    5. Richard Arnott, 1989. "Does Providing Information to Drivers Reduce Traffic Congestion?," Discussion Papers 864, Northwestern University, Center for Mathematical Studies in Economics and Management Science.

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