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Simulation research on pedestrian counter flow subconscious behavior

Author

Listed:
  • Yongxing Li

    (College of Transportation, Jilin University, Changchun, 130022, P. R. China)

  • Hongfei Jia

    (College of Transportation, Jilin University, Changchun, 130022, P. R. China)

  • Ya-Nan Zhou

    (College of Transportation, Jilin University, Changchun, 130022, P. R. China)

  • Lili Yang

    (College of Transportation, Jilin University, Changchun, 130022, P. R. China)

Abstract

Analyzing the pedestrian subconscious behavior and walking environment in the passage, right-moving preference subconscious strength and overtaking subconscious strength are introduced into the pedestrian simulation model which is based on lattice gas model. Two pedestrian subconscious behavior simulation models, which are distinguished by whether considering pedestrian flow ratio of two directions or not, are established respectively. With the platform of MATLAB software, the simulations of pedestrian counter flow subconscious behavior are realized. The simulations indicate that compared with the pedestrian subconscious behavior simulation model without considering the pedestrian flow ratio of two directions, the model that considers the pedestrian flow ratio of two directions is better in simulating the pedestrian subconscious behavior.

Suggested Citation

  • Yongxing Li & Hongfei Jia & Ya-Nan Zhou & Lili Yang, 2017. "Simulation research on pedestrian counter flow subconscious behavior," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 28(02), pages 1-11, February.
    • Handle: RePEc:wsi:ijmpcx:v:28:y:2017:i:02:n:s0129183117500255
    DOI: 10.1142/S0129183117500255
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    Citations

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    Cited by:

    1. Li, Xingli & Guo, Fang & Kuang, Hua & Geng, Zhongfei & Fan, Yanhong, 2019. "An extended cost potential field cellular automaton model for pedestrian evacuation considering the restriction of visual field," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 47-56.
    2. Geng, Zhongfei & Li, Xingli & Kuang, Hua & Bai, Xuecen & Fan, Yanhong, 2019. "Effect of uncertain information on pedestrian dynamics under adverse sight conditions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 681-691.
    3. Li, Yongxing & Yang, Xiaoxia & Wang, Zijia & Chen, Liang & Chen, Yanyan, 2022. "Lane-design for mixed pedestrian flow in T-shaped passage," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    4. Yang, Xiaoxia & Yang, Xiaoli & Pan, Fuquan & Kang, Yuanlei & Zhang, Jihui, 2021. "The effect of passenger attributes on alighting and boarding efficiency based on social force model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).

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