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Kinetic theory of situated agents applied to pedestrian flow in a corridor

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  • Rangel-Huerta, A.
  • Muñoz-Meléndez, A.

Abstract

A situated agent-based model for simulation of pedestrian flow in a corridor is presented. In this model, pedestrians choose their paths freely and make decisions based on local criteria for solving collision conflicts. The crowd consists of multiple walking agents equipped with a function of perception as well as a competitive rule-based strategy that enables pedestrians to reach free access areas. Pedestrians in our model are autonomous entities capable of perceiving and making decisions. They apply socially accepted conventions, such as avoidance rules, as well as individual preferences such as the use of specific exit points, or the execution of eventual comfort turns resulting in spontaneous changes of walking speed. Periodic boundary conditions were considered in order to determine the density-average walking speed, and the density-average activity with respect to specific parameters: comfort angle turn and frequency of angle turn of walking agents. The main contribution of this work is an agent-based model where each pedestrian is represented as an autonomous agent. At the same time the pedestrian crowd dynamics is framed by the kinetic theory of biological systems.

Suggested Citation

  • Rangel-Huerta, A. & Muñoz-Meléndez, A., 2010. "Kinetic theory of situated agents applied to pedestrian flow in a corridor," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(5), pages 1077-1089.
    • Handle: RePEc:eee:phsmap:v:389:y:2010:i:5:p:1077-1089
    DOI: 10.1016/j.physa.2009.11.031
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    References listed on IDEAS

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    1. Dirk Helbing & Lubos Buzna & Anders Johansson & Torsten Werner, 2005. "Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions," Transportation Science, INFORMS, vol. 39(1), pages 1-24, February.
    2. Parisi, Daniel R. & Gilman, Marcelo & Moldovan, Herman, 2009. "A modification of the Social Force Model can reproduce experimental data of pedestrian flows in normal conditions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(17), pages 3600-3608.
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    Cited by:

    1. Collet, Jacques Henri & Fanchon, Jean, 2015. "Crystallization and tile separation in the multi-agent systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 405-417.
    2. Rangel-Huerta, A. & Ballinas-Hernández, A.L. & Muñoz-Meléndez, A., 2017. "An entropy model to measure heterogeneity of pedestrian crowds using self-propelled agents," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 213-224.

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