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Traffic dynamics around weaving section influenced by accident: Cellular automata approach

Author

Listed:
  • Lin-Peng Kong

    (MOE Key Laboratory for Urban Transportation Complex System Theory and Technology, Beijing Jiaotong University, Beijing 100044, P. R. China)

  • Xin-Gang Li

    (MOE Key Laboratory for Urban Transportation Complex System Theory and Technology, Beijing Jiaotong University, Beijing 100044, P. R. China;
    Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong)

  • William H. K. Lam

    (MOE Key Laboratory for Urban Transportation Complex System Theory and Technology, Beijing Jiaotong University, Beijing 100044, P. R. China;
    Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong)

Abstract

The weaving section, as a typical bottleneck, is one source of vehicle conflicts and an accident-prone area. Traffic accident will block lanes and the road capacity will be reduced. Several models have been established to study the dynamics around traffic bottlenecks. However, little attention has been paid to study the complex traffic dynamics influenced by the combined effects of bottleneck and accident. This paper presents a cellular automaton model to characterize accident-induced traffic behavior around the weaving section. Some effective control measures are proposed and verified for traffic management under accident condition. The total flux as a function of inflow rates, the phase diagrams, the spatial-temporal diagrams, and the density and velocity profiles are presented to analyze the impact of accident. It was shown that the proposed control measures for weaving traffic can improve the capacity of weaving section under both normal and accident conditions; the accidents occurring on median lane in the weaving section are more inclined to cause traffic jam and reduce road capacity; the capacity of weaving section will be greatly reduced when the accident happens downstream the weaving section.

Suggested Citation

  • Lin-Peng Kong & Xin-Gang Li & William H. K. Lam, 2015. "Traffic dynamics around weaving section influenced by accident: Cellular automata approach," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 26(03), pages 1-18.
    • Handle: RePEc:wsi:ijmpcx:v:26:y:2015:i:03:n:s0129183115500266
    DOI: 10.1142/S0129183115500266
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    Citations

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    Cited by:

    1. Jiang, Hang & Ma, Yongjian & Jiang, Lin & Chen, Guozhou & Wang, Dongwei, 2018. "Evaluation of the dispersion effect in through movement bicycles at signalized intersection via cellular automata simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 498(C), pages 138-147.
    2. Junwei Zeng & Yongsheng Qian & Bingbing Wang & Tingjuan Wang & Xuting Wei, 2019. "The Impact of Traffic Crashes on Urban Network Traffic Flow," Sustainability, MDPI, vol. 11(14), pages 1-14, July.
    3. Kong, Dewen & Sun, Lishan & Li, Jia & Xu, Yan, 2021. "Modeling cars and trucks in the heterogeneous traffic based on car–truck combination effect using cellular automata," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).

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