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Simulation model of pedestrian interactive behavior

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  • Zhang, Qi
  • Han, Baoming

Abstract

This paper presents a simulation model for pedestrian collective behavior. It is supposed that the pedestrians make individual decisions during movement according to their wishes and interaction with other pedestrians. The follow effect, deterrent effect and rejection effect are put forth as latent interactive effects influencing pedestrian decisions. Three categories of potential fields were defined to model the pedestrian behavior by simulating pedestrians’ decision processes. A circumstance potential field was defined to simulate the desire to targets. Moving and waiting potential fields were defined to model the interaction. Experiments were run for the model validation and coefficient performance verification. Performances and relationships of sensitivity coefficient, decay coefficient and diffusion coefficient are studied to clarify the effectiveness and flexibility of the presented model in generating pedestrian movement under a variety of situations. The simulation results show the good performance of the model in reflecting pedestrian interactive behavior.

Suggested Citation

  • Zhang, Qi & Han, Baoming, 2011. "Simulation model of pedestrian interactive behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(4), pages 636-646.
    • Handle: RePEc:eee:phsmap:v:390:y:2011:i:4:p:636-646
    DOI: 10.1016/j.physa.2010.10.029
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    References listed on IDEAS

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    1. Blue, Victor J. & Adler, Jeffrey L., 2001. "Cellular automata microsimulation for modeling bi-directional pedestrian walkways," Transportation Research Part B: Methodological, Elsevier, vol. 35(3), pages 293-312, March.
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    Citations

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    Cited by:

    1. Wu, Pei-Yang & Guo, Ren-Yong, 2021. "Simulation of pedestrian flows through queues: Effect of interaction and intersecting angle," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    2. Guo, Fang & Li, Xingli & Kuang, Hua & Bai, Yang & Zhou, Huaguo, 2016. "An extended cost potential field cellular automata model considering behavior variation of pedestrian flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 630-640.
    3. 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.
    4. Rodriguez, E. & Espinosa-Paredes, G. & Alvarez-Ramirez, J., 2014. "Convection–diffusion effects in marathon race dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 498-507.
    5. Zhang, Qi, 2015. "Simulation model of bi-directional pedestrian considering potential effect ahead and behind," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 335-348.

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