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Subdivided Cellular Automata Model Considering Anticipation Floor Field and Analysis of Pedestrian Detour Behavior

Author

Listed:
  • Jinrui Liu

    (School of Traffic and Transportation Engineering, Central South University, Changsha 410083, China)

  • Maosheng Li

    (School of Traffic and Transportation Engineering, Central South University, Changsha 410083, China)

  • Panpan Shu

    (School of Traffic and Transportation Engineering, Central South University, Changsha 410083, China)

Abstract

The micro-pedestrian simulation model represented by the cellular automata model is an important simulation model. Improvements in various aspects enable a better description of the various behaviors of pedestrians, such as pedestrian avoidance behavior, companion behavior, as well as transcendence behavior, waiting behavior and detour behavior. This paper takes the pedestrian detour behavior in the circle antipode experiment as the main entry point. The subdivision cellular automaton model is integrated into the prediction field to model and simulate the detour behavior. At the same time, it explores the degree of subdivision of the cell. Pedestrian heterogeneity and the influence of predicted field potential energy on the simulated pedestrian trajectory. Finally, based on the temporal and spatial indicators of pedestrian trajectory characteristics, the KS test and DTW method are used to evaluate the similarity of the trajectory distribution characteristics and time series characteristics with experimental samples, and evaluate and compare models with or without heterogeneity. The results show that the trajectory characteristics of heterogeneous pedestrians are closer to the experiment than homogeneous pedestrians.

Suggested Citation

  • Jinrui Liu & Maosheng Li & Panpan Shu, 2021. "Subdivided Cellular Automata Model Considering Anticipation Floor Field and Analysis of Pedestrian Detour Behavior," Sustainability, MDPI, vol. 13(19), pages 1-25, September.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:19:p:10621-:d:642484
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    References listed on IDEAS

    as
    1. Guo, R.Y. & Huang, H.J., 2008. "A mobile lattice gas model for simulating pedestrian evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(2), pages 580-586.
    2. Guo, Ren-Yong, 2014. "New insights into discretization effects in cellular automata models for pedestrian evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 400(C), pages 1-11.
    3. Suma, Yushi & Yanagisawa, Daichi & Nishinari, Katsuhiro, 2012. "Anticipation effect in pedestrian dynamics: Modeling and experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(1), pages 248-263.
    4. Zhuang, Yifan & Liu, Zhigang & Schadschneider, Andreas & Yang, Lizhong & Huang, Jiajun, 2021. "Exploring the behavior of self-organized queuing for pedestrian flow through a non-service bottleneck," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
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