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Simulating pedestrian flow by an improved two-process cellular automaton model

Author

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  • Cheng-Jie Jin

    (Jiangsu Key Laboratory of Urban ITS, Southeast University of China, Nanjing, Jiangsu 210096, P. R. China2Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University of China, Nanjing, Jiangsu 210096, P. R. China)

  • Wei Wang

    (Jiangsu Key Laboratory of Urban ITS, Southeast University of China, Nanjing, Jiangsu 210096, P. R. China2Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University of China, Nanjing, Jiangsu 210096, P. R. China)

  • Rui Jiang

    (MOE Key Laboratory for Urban Transportation, Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, P. R. China)

  • Li-Yun Dong

    (Shanghai Institute of Applied Mathematics and Mechanics, Shanghai University, Shanghai 200072, P. R. China)

Abstract

In this paper, we study the pedestrian flow with an Improved Two-Process (ITP) cellular automaton model, which is originally proposed by Blue and Adler. Simulations of pedestrian counterflow have been conducted, under both periodic and open boundary conditions. The lane formation phenomenon has been reproduced without using the place exchange rule. We also present and discuss the flow-density and velocity-density relationships of both uni-directional flow and counterflow. By the comparison with the Blue-Adler model, we find the ITP model has higher values of maximum flow, critical density and completely jammed density under different conditions.

Suggested Citation

  • 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.
    • Handle: RePEc:wsi:ijmpcx:v:28:y:2017:i:02:n:s0129183117500164
    DOI: 10.1142/S0129183117500164
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    Citations

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    Cited by:

    1. Li, Yixin & Ni, Ying & Sun, Jian & Ma, Zian, 2020. "Modeling the illegal lane-changing behavior of bicycles on road segments: Considering lane-changing categories and bicycle heterogeneity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    2. 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.
    3. Paulsen, Mads & Rasmussen, Thomas Kjær & Nielsen, Otto Anker, 2019. "Fast or forced to follow: A speed heterogeneous approach to congested multi-lane bicycle traffic simulation," Transportation Research Part B: Methodological, Elsevier, vol. 127(C), pages 72-98.
    4. 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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