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Traffic jam mitigation by the policy of maximum velocity limitation

Author

Listed:
  • Junya Masaka

    (��Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Kasuga-Koen, Kasuga-Shi, Fukuoka 816-8580, Japan)

  • Fumi Sueyoshi

    (��Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Kasuga-Koen, Kasuga-Shi, Fukuoka 816-8580, Japan)

  • Md. Anowar Hossain

    (��Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Kasuga-Koen, Kasuga-Shi, Fukuoka 816-8580, Japan)

  • Jun Tanimoto

    (��Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Kasuga-Koen, Kasuga-Shi, Fukuoka 816-8580, Japan†Faculty of Engineering Sciences, Kyushu University, Fukuoka 816-8580, Japan)

Abstract

This study explored whether a policy with maximum velocity limitation prior to each jam point in a traffic flow system can mitigate jam situations in a highway. To quantify this question, a new cellular automata traffic model based on the Revised S-NFS model was established. We perused two specific scenarios: a jam naturally brought by a high traffic density, and one brought by a lane-closed section placed as an explicit bottleneck. The result of multi-agent simulation (MAS) reveals that such maximum velocity limitation policy can certainly mitigate jam situations when each jam is naturally bought up not by a bottleneck, as proved by several statistics, and cannot improve the traffic flux.

Suggested Citation

  • Junya Masaka & Fumi Sueyoshi & Md. Anowar Hossain & Jun Tanimoto, 2024. "Traffic jam mitigation by the policy of maximum velocity limitation," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 35(06), pages 1-11, June.
  • Handle: RePEc:wsi:ijmpcx:v:35:y:2024:i:06:n:s012918312450075x
    DOI: 10.1142/S012918312450075X
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