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Simulating bi-directional pedestrian flow in a cellular automaton model considering the body-turning behavior

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  • Jin, Cheng-Jie
  • Jiang, Rui
  • Yin, Jun-Lin
  • Dong, Li-Yun
  • Li, Dawei

Abstract

In the experiments of bi-directional pedestrian flow, it is often observed that pedestrians turn their bodies and change from walking straight to walking sideways, in order to mitigate or avoid the conflicts with opposite walking ones. When these conflicts disappear, pedestrians restore and walk straight again. In the turning states, the forward velocities of pedestrians are not affected. In order to simulate this body-turning behavior, we use a cellular automaton (CA) model named ITP model, which has been proposed before. But the occupied area of one pedestrian is set as 0.4 m∗0.2 m. After the introduction of new rules of turnings and restorations, the pedestrians become more intelligent and flexible during the lane formation process, and some improvements of the fundamental diagram of pedestrian flow can be found. The simulation results of two different scenarios under open boundary conditions are also presented, and compared with the experimental data. It is shown that the new model performs much better than the original model in various tests, which further confirms the validity of the new rules. We think this approach is one useful contribution to the pedestrian flow modeling.

Suggested Citation

  • Jin, Cheng-Jie & Jiang, Rui & Yin, Jun-Lin & Dong, Li-Yun & Li, Dawei, 2017. "Simulating bi-directional pedestrian flow in a cellular automaton model considering the body-turning behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 666-681.
    • Handle: RePEc:eee:phsmap:v:482:y:2017:i:c:p:666-681
    DOI: 10.1016/j.physa.2017.04.117
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    References listed on IDEAS

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    Citations

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    Cited by:

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    2. Yamamoto, Hiroki & Yanagisawa, Daichi & Feliciani, Claudio & Nishinari, Katsuhiro, 2019. "Body-rotation behavior of pedestrians for collision avoidance in passing and cross flow," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 486-510.
    3. Zhao, Yongxiang & Lu, Tuantuan & Su, Wenliang & Wu, Peng & Fu, Libi & Li, Meifang, 2019. "Quantitative measurement of social repulsive force in pedestrian movements based on physiological responses," Transportation Research Part B: Methodological, Elsevier, vol. 130(C), pages 1-20.
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    5. Xie, Qimiao & Wu, Yaxin & Wang, Yitian & Zhang, Hui, 2024. "A multi-grid evacuation model considering the effects of different turning types," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 635(C).
    6. Miyagawa, Daiki & Ichinose, Genki, 2020. "Cellular automaton model with turning behavior in crowd evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    7. Aurell, Alexander & Djehiche, Boualem, 2019. "Modeling tagged pedestrian motion: A mean-field type game approach," Transportation Research Part B: Methodological, Elsevier, vol. 121(C), pages 168-183.
    8. Kim, Jooyoung & Ahn, Chiwon & Lee, Seungjae, 2018. "Modeling handicapped pedestrians considering physical characteristics using cellular automaton," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 507-517.
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    10. Hao, Qing-Yi & Qian, Jia-Li & Wu, Chao-Yun & Guo, Ning, 2021. "Phase behaviors of counterflowing stream of pedestrians with site-exchange in local vision and environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 567(C).

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