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Guide optimization in pedestrian emergency evacuation

Author

Listed:
  • Yang, Xiaoxia
  • Yang, Xiaoli
  • Wang, Qianling
  • Kang, Yuanlei
  • Pan, Fuquan

Abstract

An extended guided crowd dynamics model is proposed to investigate the guide optimization during emergency evacuation. The initial assignment scheme for guides based on clustering algorithm, taking the numbers of both informed and uninformed pedestrians into consideration, is studied. The guide choice method for informed followers based on an exponent model, considering the distance to the guide and the follower quantity, is further investigated. On the basis of the modeling method of this paper, evacuation behavior dynamics under guides is explored, from which the leading role of guides can be clearly observed. The effects of guide quantity, parameter in the guide choice method and the size of visual field on evacuations are analyzed. Simulation results indicate that the evacuation efficiency gradually increases with the increase of guide quantity until it reaches a certain level, and the optimal number of guides is closely related to the initial distribution of pedestrians. The combination of density factor and distance factor with a reasonable proportion when determining which guide is very necessary. Pedestrians have stronger evacuation ability within a certain period of time when continuously increasing their visual radii. The study can provide theoretical suggestions for guiding pedestrian evacuation under emergencies.

Suggested Citation

  • Yang, Xiaoxia & Yang, Xiaoli & Wang, Qianling & Kang, Yuanlei & Pan, Fuquan, 2020. "Guide optimization in pedestrian emergency evacuation," Applied Mathematics and Computation, Elsevier, vol. 365(C).
    • Handle: RePEc:eee:apmaco:v:365:y:2020:i:c:s0096300319307039
    DOI: 10.1016/j.amc.2019.124711
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    Citations

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    Cited by:

    1. Ren, Huan & Yan, Yuyue & Gao, Fengqiang, 2021. "Variable guiding strategies in multi-exits evacuation: Pursuing balanced pedestrian densities," Applied Mathematics and Computation, Elsevier, vol. 397(C).
    2. Dong, Shiyu & Huang, Ping & Wang, Wei, 2022. "An optimization method for evacuation guidance under limited visual field," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    3. Gao, Fengqiang & Yan, Yuyue & Chen, Zhihao & Zheng, Linxiao & Ren, Huan, 2022. "Effect of density control in partially observable asymmetric-exit evacuation under guidance: Strategic suggestion under time delay," Applied Mathematics and Computation, Elsevier, vol. 418(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).
    5. Hu, Yanghui & Bi, Yubo & Ren, Xiangxia & Huang, Shenshi & Gao, Wei, 2023. "Experimental study on the impact of a stationary pedestrian obstacle at the exit on evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 626(C).
    6. Yanyan Niu & Jia Yu & Dawei Lu & Renwu Mu & Jiahong Wen, 2022. "Spatial Allocation Method of Evacuation Guiders in Urban Open Public Spaces: A Case Study of Binjiang Green Space in Xuhui District, Shanghai, China," IJERPH, MDPI, vol. 19(19), pages 1-25, September.

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