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Lane formation in pedestrian counterflows driven by a potential field considering following and avoidance behaviours

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  • Guo, Wei
  • Wang, Xiaolu
  • Zheng, Xiaoping

Abstract

Lane formation in pedestrian counterflows is an interesting self-organization phenomenon. It is believed to be caused by the following or avoidance behaviours of pedestrians. In this paper, a potential field CA model that considers the velocity and density distributions of a crowd and their subjective consciousness is proposed to study the effects of the two behaviours on lane formation in the case of a pedestrian counterflow in a corridor with a periodic boundary. An indexing system is introduced to distinguish the three different patterns observed in the counterflow, and a smoothness index is introduced to measure the smoothness of the counterflow. It is found that avoidance behaviour is more relevant to lane formation than following behaviour. Some differences between the two behaviours are also presented.

Suggested Citation

  • Guo, Wei & Wang, Xiaolu & Zheng, Xiaoping, 2015. "Lane formation in pedestrian counterflows driven by a potential field considering following and avoidance behaviours," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 87-101.
    • Handle: RePEc:eee:phsmap:v:432:y:2015:i:c:p:87-101
    DOI: 10.1016/j.physa.2015.03.020
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    Cited by:

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    3. Luo, Lin & Liu, Xiaobo & Fu, Zhijian & Ma, Jian & Liu, Fanxiao, 2020. "Modeling following behavior and right-side-preference in multidirectional pedestrian flows by modified FFCA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
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    5. Zeng, Yiping & Ye, Rui & Song, Weiguo & Luo, Shengfeng & Meng, Fanyu & Vizzari, Giuseppe, 2021. "Entropy analysis of the laminar movement in bidirectional pedestrian flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    6. Cui, Geng & Yanagisawa, Daichi & Nishinari, Katsuhiro, 2021. "Incorporating genetic algorithm to optimise initial condition of pedestrian evacuation based on agent aggressiveness," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    7. Li, Xingli & Guo, Fang & Kuang, Hua & Zhou, Huaguo, 2017. "Effect of psychological tension on pedestrian counter flow via an extended cost potential field cellular automaton model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 487(C), pages 47-57.
    8. Tao, Y.Z. & Dong, L.Y., 2017. "A Cellular Automaton model for pedestrian counterflow with swapping," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 475(C), pages 155-168.
    9. Zhou, Xuemei & Hu, Jingjie & Ji, Xiangfeng & Xiao, Xiongziyan, 2019. "Cellular automaton simulation of pedestrian flow considering vision and multi-velocity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 982-992.

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