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Cellular automaton models for traffic flow considering opposite driving of an emergency vehicle

Author

Listed:
  • Han-Tao Zhao

    (School of Automotive Engineering, Harbin Institute of Technology, Weihai 264209, Shandong, China)

  • Jing-Ru Li

    (School of Automotive Engineering, Harbin Institute of Technology, Weihai 264209, Shandong, China)

  • Cen Nie

    (School of Automotive Engineering, Harbin Institute of Technology, Weihai 264209, Shandong, China)

Abstract

Aiming at two-lane road, this paper establishes three models to analyze the opposite-overtaking rules of emergency vehicle based on cellular automaton (CCA) model. Based on the simulation of mixed traffic flow for multi-density conditions, the density-speed diagrams have been obtained consequently. According to the analysis, when the traffic density of the opposite lane is low, the opposite driving behavior of emergency vehicle can improve the average speed effectively. At the same time, if the cocurrent lane is in high-density traffic, the traffic in the opposite lane will be disturbed, but the vehicles in the cocurrent lane will not be affected. The paper has further discussed the influence of different emergency vehicle driving behaviors on traffic. The results reveal that as the traffic of the opposite lane is in a low-density range, if emergency vehicle operates overtaking behavior precisely, the greater the density of the cocurrent lane is, the more obviously the speed improve. Meanwhile large random fluctuation of overtaking times will occur. While the risky lane change behavior displays different traffic characteristics, that is when the same direction lane is in high density, the speed increases slightly and the lane change number is changed regularly.

Suggested Citation

  • Han-Tao Zhao & Jing-Ru Li & Cen Nie, 2015. "Cellular automaton models for traffic flow considering opposite driving of an emergency vehicle," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 26(07), pages 1-12.
    • Handle: RePEc:wsi:ijmpcx:v:26:y:2015:i:07:n:s0129183115500795
    DOI: 10.1142/S0129183115500795
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    Cited by:

    1. Zhengbo Hao & Yizhe Wang & Xiaoguang Yang, 2024. "Every Second Counts: A Comprehensive Review of Route Optimization and Priority Control for Urban Emergency Vehicles," Sustainability, MDPI, vol. 16(7), pages 1-25, March.

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