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A model for simulation of crowd behaviour in the evacuation from a smoke-filled compartment

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  • Yuan, Weifeng
  • Tan, Kang Hai

Abstract

The modelling of crowd evacuation from a building has been studied over the past decades. In this study, a numerical model based on cellular automaton is proposed to simulate the human behaviour termed “flow with the stream” in emergency evacuation from a large smoke-filled compartment. In the model, the smoke effect in the context of visibility is considered since visibility range can affect the human behaviour significantly. To simulate the reality that the smoke concentration in a fire compartment is not constant, the proposed model is developed to deal with the scenario in which the visibility range varies in the course of time. An empirical formula is incorporated into the proposed model to estimate the visibility range. The results of numerical tests show that the proposed model can also be used to investigate the effect of the number of guiders through case study.

Suggested Citation

  • Yuan, Weifeng & Tan, Kang Hai, 2011. "A model for simulation of crowd behaviour in the evacuation from a smoke-filled compartment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4210-4218.
    • Handle: RePEc:eee:phsmap:v:390:y:2011:i:23:p:4210-4218
    DOI: 10.1016/j.physa.2011.07.044
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    References listed on IDEAS

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    1. Weifeng, Fang & Lizhong, Yang & Weicheng, Fan, 2003. "Simulation of bi-direction pedestrian movement using a cellular automata model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 321(3), pages 633-640.
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    7. Yuan, Weifeng & Tan, Kang Hai, 2007. "An evacuation model using cellular automata," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(2), pages 549-566.
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    Citations

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    Cited by:

    1. Gao, Ran & Li, Angui & Lei, Wenjun & Zhao, Yujiao & Zhang, Ying & Deng, Baoshun, 2013. "A novel evacuation passageway formed by a breathing air supply zone combined with upward ventilation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 4793-4803.
    2. 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.
    3. Huan Cao & Tian Li & Shuxia Li & Tijun Fan, 2017. "An integrated emergency response model for toxic gas release accidents based on cellular automata," Annals of Operations Research, Springer, vol. 255(1), pages 617-638, August.
    4. Zheng, Ying & Li, Xingang & Zhu, Nuo & Jia, Bin & Jiang, Rui, 2018. "Evacuation dynamics with smoking diffusion in three dimension based on an extended Floor-Field model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 414-426.
    5. Zhang, Wenke & Zhang, Zhichao & Ma, Yueyao & Lee, Eric Wai Ming & Shi, Meng, 2024. "Psychological impatience in pedestrian evacuation: modelling, simulations and experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 635(C).
    6. Cirillo, Emilio N.M. & Muntean, Adrian, 2013. "Dynamics of pedestrians in regions with no visibility— A lattice model without exclusion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(17), pages 3578-3588.
    7. Ma, Yi & Yuen, Richard Kwok Kit & Lee, Eric Wai Ming, 2016. "Effective leadership for crowd evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 333-341.

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