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Traffic accidents on a single-lane road with multi-slowdown sections

Author

Listed:
  • Xingli Li

    (School of Applied Science, Taiyuan University of Science and Technology, Taiyuan 030024, P. R. China;
    College of Physical Science and Technology, Guangxi Normal University, Guilin 541004, P. R. China)

  • Hua Kuang

    (College of Physical Science and Technology, Guangxi Normal University, Guilin 541004, P. R. China)

  • Yanhong Fan

    (College of Physical Science and Technology, Guangxi Normal University, Guilin 541004, P. R. China)

  • Guoxin Zhang

    (College of Physical Science and Technology, Guangxi Normal University, Guilin 541004, P. R. China)

Abstract

In this paper, an extended cellular automaton model is proposed to simulate the complex characteristics of traffic flow and the probability of the occurrence of traffic accidents by considering the modified conditions for determining whether traffic accidents happen and the effect of multi-slowdown sections on a highway. The simulation results show that the multi-slowdown sections can lead to multiphase coexistences (i.e. free flow phase, congestion phase and saturation phase) in traffic system. The fundamental diagram shows that the number of slowdown section does not influence the mean velocity and the mean flow under the periodic boundary condition, but the existence of slowdown sections can effectively reduce the occurrence of traffic accident. In particular, it is found that the probability of car accidents to occur is the largest at the joint of the normal-speed section and slowdown section, and the underlying mechanism is analyzed. In addition, to design the appropriate limited speed and reduce the differences between the normal speed and limited speed will alleviate traffic congestion and reduce the occurrence of traffic accidents obviously.

Suggested Citation

  • Xingli Li & Hua Kuang & Yanhong Fan & Guoxin Zhang, 2014. "Traffic accidents on a single-lane road with multi-slowdown sections," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 25(09), pages 1-11.
    • Handle: RePEc:wsi:ijmpcx:v:25:y:2014:i:09:n:s0129183114500363
    DOI: 10.1142/S0129183114500363
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    Cited by:

    1. He, Hong-di & Wang, Jun-li & Wei, Hai-rui & Ye, Cheng & Ding, Yi, 2016. "Fractal behavior of traffic volume on urban expressway through adaptive fractal analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 518-525.
    2. Yongzhong Sha & Junyan Hu & Qingxia Zhang & Chao Wang, 2022. "Systematic Analysis of the Contributory Factors Related to Major Coach and Bus Accidents in China," Sustainability, MDPI, vol. 14(22), pages 1-24, November.

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