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A cellular automata model for high-density crowd evacuation using triangle grids

Author

Listed:
  • Ji, Jingwei
  • Lu, Ligang
  • Jin, Zihao
  • Wei, Shoupeng
  • Ni, Lu

Abstract

In this paper, according to the characteristics of evacuation in high-density crowd, a new triangular grid cellular automata model is proposed. In this model, the maximum density of crowd can reach to 8 person/m2 which is measured by the experiment. And pedestrians can move to 14 directions if there are no obstructions around them. Meanwhile, this paper proposes the concept and calculation rules of moving potential in the moving field. The moving potential provides reference for the movement of a pedestrian. Through the comparison of the measured values and the simulated values of an evacuation process in a building, it is proved that the model can accurately simulate the evacuation process of high density crowd.

Suggested Citation

  • Ji, Jingwei & Lu, Ligang & Jin, Zihao & Wei, Shoupeng & Ni, Lu, 2018. "A cellular automata model for high-density crowd evacuation using triangle grids," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 1034-1045.
    • Handle: RePEc:eee:phsmap:v:509:y:2018:i:c:p:1034-1045
    DOI: 10.1016/j.physa.2018.06.055
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    References listed on IDEAS

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    Cited by:

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    2. Tang, Tie-Qiao & Zhang, Bo-Tao & Zhang, Jian & Wang, Tao, 2019. "Statistical analysis and modeling of pedestrian flow in university canteen during peak period," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 29-40.
    3. Cui, Xiaoting & Ji, Jingwei & Bai, Xuehe & Cao, Yin & Wu, Tong, 2022. "Research and realization of parallel algorithms for large scale crowd evacuation in emergency," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 193(C), pages 713-724.
    4. Zhao, Ruifeng & Zhai, Yue & Qu, Lu & Wang, Ruhao & Huang, Yaoying & Dong, Qi, 2021. "A continuous floor field cellular automata model with interaction area for crowd evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 575(C).
    5. Zhiqiang Wang & Jing Huang & Huimin Wang & Jinle Kang & Weiwei Cao, 2020. "Analysis of Flood Evacuation Process in Vulnerable Community with Mutual Aid Mechanism: An Agent-Based Simulation Framework," IJERPH, MDPI, vol. 17(2), pages 1-21, January.
    6. Sun, Yutong & Liu, Hong, 2021. "Crowd evacuation simulation method combining the density field and social force model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    7. Kurdi, Heba & Almulifi, Asma & Al-Megren, Shiroq & Youcef-Toumi, Kamal, 2021. "A balanced evacuation algorithm for facilities with multiple exits," European Journal of Operational Research, Elsevier, vol. 289(1), pages 285-296.
    8. Zhu, Yu & Chen, Tao & Ding, Ning & Chraibi, Mohcine & Fan, Wei-Cheng, 2021. "Follow people or signs? A novel way-finding method based on experiments and simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    9. Bao, Yu & Huo, Feizhou, 2021. "An agent-based model for staircase evacuation considering agent’s rotational behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    10. Gao, Jin & Zhang, Jingjing & He, Jun & Gong, Jinghai & Zhao, Jincheng, 2020. "Experiment and simulation of pedestrian’s behaviors during evacuation in an office," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).

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