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Dissipation of traffic congestion using autonomous-based car-following model with modified optimal velocity

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  • Klawtanong, Manit
  • Limkumnerd, Surachate

Abstract

We investigate dynamical properties of traffic flow using the stochastic car-following model with modified optimal velocity on circular road. The safety distance following the two-second rule and autonomous vehicles obeying simple requirements are incorporated into the model. The dynamic safety distance increases in a light traffic condition where the average driving velocity is high, while decreases in a dense traffic condition in anticipation of slower traffic motion. The results show that the presence of the autonomous vehicles can enhance overall velocity and traffic current of the system, and postpone the traffic congestion. In a particular phase region, imposing a speed limit enables the system to leave the congested flow phase. The density-dependent speed limit in autonomous-free condition is obtained to achieve the optimal traffic flow.

Suggested Citation

  • Klawtanong, Manit & Limkumnerd, Surachate, 2020. "Dissipation of traffic congestion using autonomous-based car-following model with modified optimal velocity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    • Handle: RePEc:eee:phsmap:v:542:y:2020:i:c:s0378437119319065
    DOI: 10.1016/j.physa.2019.123412
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    References listed on IDEAS

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    1. Davis, L.C., 2011. "Jam emergence on a circular track in a car-following model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(5), pages 943-950.
    2. G. F. Newell, 1961. "Nonlinear Effects in the Dynamics of Car Following," Operations Research, INFORMS, vol. 9(2), pages 209-229, April.
    3. I. Prigogine & F. C. Andrews, 1960. "A Boltzmann-Like Approach for Traffic Flow," Operations Research, INFORMS, vol. 8(6), pages 789-797, December.
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    Cited by:

    1. Wei Pan & Xiaolu Chen & Xiaojun Duan, 2022. "Energy dissipation and particulate emission at traffic bottleneck based on NaSch model," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 95(7), pages 1-13, July.
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    3. Shuaiyang Jiao & Shengrui Zhang & Bei Zhou & Zixuan Zhang & Liyuan Xue, 2020. "An Extended Car-Following Model Considering the Drivers’ Characteristics under a V2V Communication Environment," Sustainability, MDPI, vol. 12(4), pages 1-18, February.
    4. Xia, Yingji & Sun, Zhe & Qu, Zhaowei & Liu, Tianze & Li, Zhihui & Gao, Yuhong, 2021. "Reaction model of conflictive e-bikes and numerical simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).

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