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Route choice in the pedestrian evacuation: Microscopic formulation based on visual information

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  • Zhou, Zi-Xuan
  • Nakanishi, Wataru
  • Asakura, Yasuo

Abstract

A pedestrian’s visual field constantly changes as they move around a room containing structural components or large furniture, which can block the pedestrian from perceiving visual information. Changes in position simultaneously update optional route sets and the perception of how crowded these paths are. In this study, a microscopic pedestrian–simulation model with continuous-space representation is developed to investigate the route-choice behavior of pedestrians in a space where obstacles block the visual field. Instead of potential-based navigation, the desired direction of pedestrians during the motion is expressed by an oriented network and delivered to the navigation layer: an optimal reciprocal collision avoidance (ORCA) system, which models pedestrians’ local maneuvers and movement decisions in detail. We quantify the characteristics of the model by comparing the model results with two groups of experiments conducted under conditions of good, limited, and zero visibility. The performance results with two different layouts are compared through numerical simulation, illustrating the model’s capability to accurately represent the observed crowd dynamics in the facility. Results from the sensitivity analysis and simulation scenario can benefit the evacuation guidance arrangement and internal component design in large public spaces.

Suggested Citation

  • Zhou, Zi-Xuan & Nakanishi, Wataru & Asakura, Yasuo, 2021. "Route choice in the pedestrian evacuation: Microscopic formulation based on visual information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    • Handle: RePEc:eee:phsmap:v:562:y:2021:i:c:s0378437120306920
    DOI: 10.1016/j.physa.2020.125313
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    References listed on IDEAS

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    Cited by:

    1. Zhang, Jun & Cui, Haoran & Chraibi, Mohcine & Yu, Hang & Song, Weiguo, 2023. "Velocity-based model for pedestrian dynamics considering direction preferences," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 613(C).
    2. Yue, Hao & Zhang, Junyao & Chen, Wenxin & Wu, Xinsen & Zhang, Xu & Shao, Chunfu, 2021. "Simulation of the influence of spatial obstacles on evacuation pedestrian flow in walking facilities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    3. Zhou, Zi-Xuan & Nakanishi, Wataru & Asakura, Yasuo, 2021. "Data-driven framework for the adaptive exit selection problem in pedestrian flow: Visual information based heuristics approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    4. Wu, Chengyuan & Yang, Liangze & Du, Jie & Pei, Xin & Wong, S.C., 2024. "Continuum dynamic traffic models with novel local route-choice strategies for urban cities," Transportation Research Part B: Methodological, Elsevier, vol. 181(C).

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