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An extended queueing model based on vision and morality for crowd evacuation

Author

Listed:
  • Yi, Wenfeng
  • Wu, Wenhan
  • Li, Jinghai
  • Wang, Xiaolu
  • Zheng, Xiaoping

Abstract

As one of the most common self-organizing phenomena in social systems, queueing has been attracting a lot of interest. Understanding the local interaction mechanism in queueing behaviors is a critical issue in the field of crowd dynamics. However, most studies ignore the heuristic decision during queueing processes. Even less is known about the effect of queueing behaviors on the collective movement. Therefore, an extended social force queueing model is proposed, which is based on vision and morality. Guided by visual and moral information, the desired speed and direction are heuristically adjusted in the self-driven force. Numerical simulations indicate that our model constructs a more realistic and detailed framework for the interpretation of pedestrian queueing. This model successfully predicts the emergence of the “detours” phenomenon, which is beneficial for reducing crowd pressure. Furthermore, our model may provide guidance for crowd management in safety science and navigation in autonomous robots.

Suggested Citation

  • Yi, Wenfeng & Wu, Wenhan & Li, Jinghai & Wang, Xiaolu & Zheng, Xiaoping, 2022. "An extended queueing model based on vision and morality for crowd evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    • Handle: RePEc:eee:phsmap:v:604:y:2022:i:c:s0378437122004435
    DOI: 10.1016/j.physa.2022.127658
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    References listed on IDEAS

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    Cited by:

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    3. Xu, Yuan-Hao & Guan, Xiao-Kui & Li, Li & Hu, Mao-Bin, 2024. "Selection-sort-based cooperative driving strategy for CAVs at non-signalized intersections," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 635(C).

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