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Numerical investigation on the impact of obstacles on phase transition in pedestrian counter-flow

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  • Liu, Yulu
  • Ma, Xuechen
  • Tao, Yizhou
  • Dong, Liyun
  • Ding, Xu
  • Qiu, Xiang

Abstract

In this paper, a modified real-coded microscopic model is utilized to investigate the influence of obstacles on the pedestrian counter-flow. The four typical phases, i.e., free-flow phase, lane-formation phase, intermediate phase and congestion phase are reproduced by this model. Through the numerical results, the influence of the geometric features of obstacles, such as the inclination angle and the major-to-minor axis ratio, on the pedestrian counter-flow are analyzed. With increasing the inclination angle of obstacle or reducing the ratio, it is found that the moving efficiency and the probability of asymmetric flow will be increased, the occurrence of congestion phase will be delayed. Furthermore, the occurrence density of congestion phase will be increased with the distance between sloped obstacles. Finally, from the view of engineering application, the optimal setting of obstacle is given by comparing the fundamental diagrams.

Suggested Citation

  • Liu, Yulu & Ma, Xuechen & Tao, Yizhou & Dong, Liyun & Ding, Xu & Qiu, Xiang, 2024. "Numerical investigation on the impact of obstacles on phase transition in pedestrian counter-flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 635(C).
    • Handle: RePEc:eee:phsmap:v:635:y:2024:i:c:s0378437124000074
    DOI: 10.1016/j.physa.2024.129499
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    References listed on IDEAS

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    1. Jiang, Yan-Qun & Hu, Ying-Gang & Huang, Xiaoqian, 2022. "Modeling pedestrian flow through a bottleneck based on a second-order continuum model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    2. Cao, Shuchao & Lian, Liping & Chen, Mingyi & Yao, Ming & Song, Weiguo & Fang, Zhiming, 2018. "Investigation of difference of fundamental diagrams in pedestrian flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 661-670.
    3. Dirk Helbing & Illés Farkas & Tamás Vicsek, 2000. "Simulating dynamical features of escape panic," Nature, Nature, vol. 407(6803), pages 487-490, September.
    4. Huang, Ling & Wong, S.C. & Zhang, Mengping & Shu, Chi-Wang & Lam, William H.K., 2009. "Revisiting Hughes' dynamic continuum model for pedestrian flow and the development of an efficient solution algorithm," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 127-141, January.
    5. Tanimoto, Jun & Hagishima, Aya & Tanaka, Yasukaka, 2010. "Study of bottleneck effect at an emergency evacuation exit using cellular automata model, mean field approximation analysis, and game theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(24), pages 5611-5618.
    6. Jin, Cheng-Jie & Jiang, Rui & Liu, Tongfei & Li, Dawei & Wang, Hao & Liu, Xianglong, 2021. "Pedestrian dynamics with different corridor widths: Investigation on a series of uni-directional and bi-directional experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    7. Kirchner, Ansgar & Schadschneider, Andreas, 2002. "Simulation of evacuation processes using a bionics-inspired cellular automaton model for pedestrian dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 312(1), pages 260-276.
    8. Yang, Xiaoli & Yang, Xiaoxia & Li, Yongxing & Zhang, Jihui & Kang, Yuanlei, 2021. "Obstacle avoidance in the improved social force model based on ant colony optimization during pedestrian evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    9. Sun, Yi, 2020. "Kinetic Monte Carlo simulations of bi-direction pedestrian flow with different walk speeds," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    10. Li, Na & Guo, Ren-Yong, 2020. "Simulation of bi-directional pedestrian flow through a bottleneck: Cell transmission model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 555(C).
    11. Song, Weiguo & Xu, Xuan & Wang, Bing-Hong & Ni, Shunjiang, 2006. "Simulation of evacuation processes using a multi-grid model for pedestrian dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 363(2), pages 492-500.
    12. Deng, Kaifeng & Hu, Xiangmin & Li, Meng & Chen, Tao, 2023. "An extended social force model considering the psychological impact of the hazard source and its behavioural manifestation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 627(C).
    13. 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).
    14. Wang, Weili & Zhang, Jingjing & Li, Haicheng & Xie, Qimiao, 2020. "Experimental study on unidirectional pedestrian flows in a corridor with a fixed obstacle and a temporary obstacle," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    15. Weng, W.G. & Shen, S.F. & Yuan, H.Y. & Fan, W.C., 2007. "A behavior-based model for pedestrian counter flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 375(2), pages 668-678.
    16. Yang, Lizhong & Li, Jian & Liu, Shaobo, 2008. "Simulation of pedestrian counter-flow with right-moving preference," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(13), pages 3281-3289.
    17. Li, Xingli & Geng, Zhongfei & Kuang, Hua & Bai, Xuecen & Fan, Yanhong, 2019. "Effect of dangerous source on evacuation dynamics in pedestrian counter flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 533(C).
    18. Gao, Yuxing & Zhuang, Yifan & Dong, Fangshu & Peng, Fei & Zhang, Ping & Yang, Lizhong & Ni, Yong, 2020. "Experimental study on the effect of trolley case on unidirectional pedestrian flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 544(C).
    19. 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.
    20. 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.
    21. Fu, Zhijian & Xiong, Xingwen & Luo, Lin & Yang, Yunjia & Feng, Yujing & Chen, Hua, 2022. "Influence of rotation on pedestrian flow considering bipedal features: Modeling using a fine discrete floor field cellular automaton," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    22. Yamamoto, Kazuhiro & Kokubo, Satoshi & Nishinari, Katsuhiro, 2007. "Simulation for pedestrian dynamics by real-coded cellular automata (RCA)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(2), pages 654-660.
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