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Observation and cellular-automaton based modeling of pedestrian behavior on an escalator

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  • Xie, Chuan-Zhi
  • Tang, Tie-Qiao
  • Hu, Peng-Cheng
  • Chen, Liang

Abstract

In-depth analysis of pedestrian movement behavior on staircases and escalators can significantly improve their operation efficiency and safety. However, compared with stairs, researchers have generally given little attention to pedestrian movement on escalators. In this paper, we conduct a case study to extract the physical attributes of the escalator, the pedestrians’ microscopic movement characteristics, and the macro-level pedestrian flow dynamics on the escalator of Beihang University’s canteen. Using the data, we establish a step-length-based CA model to represent the pedestrian movement across the escalator. The CA model can effectively render the pedestrian’s grouping formation and walking characteristics at the micro-level and describe the pedestrian flow at the macro-level. Through simulations, we quantitatively analyze some widely used pedestrian guidance strategies on escalators (e.g., the “walk left, stand right” rule, changing the grouping formation). The results may have bearing on real-life escalator management.

Suggested Citation

  • Xie, Chuan-Zhi & Tang, Tie-Qiao & Hu, Peng-Cheng & Chen, Liang, 2022. "Observation and cellular-automaton based modeling of pedestrian behavior on an escalator," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    • Handle: RePEc:eee:phsmap:v:605:y:2022:i:c:s0378437122006471
    DOI: 10.1016/j.physa.2022.128032
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    References listed on IDEAS

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    Cited by:

    1. Huang, Qi & Qin, Tianyu & Luo, Lin & Yang, Gaobo & Fu, Zhijian & Liu, Xiaobo, 2024. "Modeling heterogenous crowd evacuation on stairs in high-rise buildings using a fine discrete floor field cellular automaton model: Accounting for speed and boundary layer variations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 639(C).
    2. Jiang, Yan-Qun & Zhou, Shu-Guang & Duan, Ya-Li & Huang, Xiao-Qian, 2023. "A viscous continuum model with smoke effect for pedestrian evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 621(C).
    3. Xue Lin & Long Cheng & Shuo Zhang & Qianling Wang, 2023. "Simulating the Effects of Gate Machines on Crowd Traffic Based on the Modified Social Force Model," Mathematics, MDPI, vol. 11(3), pages 1-12, February.

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