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Cooperative evolution in pedestrian room evacuation considering different individual behaviors

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  • Guan, Junbiao
  • Wang, Kaihua

Abstract

Cooperative phenomenon is common in pedestrian evacuation, though in some cases the evacuation environment is competitive. Knowing how the cooperation evolves is of considerable importance since it plays an essential role in the understanding of the entire evacuation process. In this work, we study the evolution of cooperation in pedestrian room evacuation mixed with different individual behaviors by means of a cellular automaton (CA) model coupled with a spatial game. In the game, each agent interacts with its immediate neighbors and plays for the expected evacuation time which depends on its surroundings. Agents have one of the two possible modes of strategy to choose that lead to be either patient or impatient. Agents’ strategies are updated in parallel according to two kinds of individual behaviors: cherry-picking behavior and imitation behavior. This model shows how evacuation conditions and agents’ individual behaviors affect the evolution of cooperation during the evacuation process.

Suggested Citation

  • Guan, Junbiao & Wang, Kaihua, 2020. "Cooperative evolution in pedestrian room evacuation considering different individual behaviors," Applied Mathematics and Computation, Elsevier, vol. 369(C).
    • Handle: RePEc:eee:apmaco:v:369:y:2020:i:c:s0096300319308574
    DOI: 10.1016/j.amc.2019.124865
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    2. Yaping Ma & Xiaoying Liu & Feizhou Huo & Hui Li, 2022. "Analysis of Cooperation Behaviors and Crowd Dynamics during Pedestrian Evacuation with Group Existence," Sustainability, MDPI, vol. 14(9), pages 1-19, April.
    3. Tamang, Nutthavuth & Sun, Yi, 2023. "Application of the dynamic Monte Carlo method to pedestrian evacuation dynamics," Applied Mathematics and Computation, Elsevier, vol. 445(C).

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