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Phase behaviors of counterflowing stream of pedestrians with site-exchange in local vision and environment

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  • Hao, Qing-Yi
  • Qian, Jia-Li
  • Wu, Chao-Yun
  • Guo, Ning

Abstract

This paper presents a cellular automaton model of counterflowing stream of pedestrians, in which pedestrians walking in opposite directions are able to exchange position under certain local view and circumstance. Phase separation has been observed in the model and phase diagram including three phase regions is presented. Mean field analysis has been carried out to calculate the pedestrian flow rate, which indicates that the characteristic of minimum point of flow rate plays a critical role in phase behaviors of the system. Furthermore, the phase boundary based on the mean field analysis is partly in agreement with that obtained by simulation. Experiment data are also used to validate the model.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:phsmap:v:567:y:2021:i:c:s0378437120309869
    DOI: 10.1016/j.physa.2020.125688
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    References listed on IDEAS

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    1. da Silva, Roberto & Hentz, Agenor & Alves, Alexandre, 2015. "Stochastic model of self-driven two-species objects inspired by particular aspects of a pedestrian dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 437(C), pages 139-148.
    2. Dirk Helbing & Illés Farkas & Tamás Vicsek, 2000. "Simulating dynamical features of escape panic," Nature, Nature, vol. 407(6803), pages 487-490, September.
    3. Tajima, Yusuke & Takimoto, Kouhei & Nagatani, Takashi, 2002. "Pattern formation and jamming transition in pedestrian counter flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 313(3), pages 709-723.
    4. Guo, Ning & Hu, Mao-Bin & Jiang, Rui, 2017. "Impact of variable body size on pedestrian dynamics by heuristics-based model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 109-114.
    5. 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.
    6. Tajima, Yusuke & Nagatani, Takashi, 2002. "Clogging transition of pedestrian flow in T-shaped channel," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 303(1), pages 239-250.
    7. Tao, Y.Z. & Dong, L.Y., 2017. "A Cellular Automaton model for pedestrian counterflow with swapping," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 475(C), pages 155-168.
    8. Jiang, Rui & Wu, Qing-Song, 2007. "Pedestrian behaviors in a lattice gas model with large maximum velocity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 373(C), pages 683-693.
    9. Blue, Victor J. & Adler, Jeffrey L., 2001. "Cellular automata microsimulation for modeling bi-directional pedestrian walkways," Transportation Research Part B: Methodological, Elsevier, vol. 35(3), pages 293-312, March.
    10. Feliciani, Claudio & Nishinari, Katsuhiro, 2016. "An improved Cellular Automata model to simulate the behavior of high density crowd and validation by experimental data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 135-148.
    11. Fukamachi, Masahiro & Nagatani, Takashi, 2007. "Sidle effect on pedestrian counter flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(1), pages 269-278.
    12. Haghani, Milad & Sarvi, Majid, 2018. "Crowd behaviour and motion: Empirical methods," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 253-294.
    13. Cheng-Jie Jin & Wei Wang & Rui Jiang & Li-Yun Dong, 2017. "Simulating pedestrian flow by an improved two-process cellular automaton model," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 28(02), pages 1-17, February.
    14. 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.
    15. Burstedde, C & Klauck, K & Schadschneider, A & Zittartz, J, 2001. "Simulation of pedestrian dynamics using a two-dimensional cellular automaton," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 295(3), pages 507-525.
    16. Isobe, Motoshige & Adachi, Taku & Nagatani, Takashi, 2004. "Experiment and simulation of pedestrian counter flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 336(3), pages 638-650.
    17. Hong-Xia Ge & Siu-Ming Lo & Rong-Jun Cheng, 2014. "A bidirectional pedestrian flow model with the effect of friction parameter," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 25(09), pages 1-10.
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