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Lattice gas simulation and experiment study of evacuation dynamics

Author

Listed:
  • Li, Xiaomeng
  • Chen, Tao
  • Pan, Lili
  • Shen, Shifei
  • Yuan, Hongyong

Abstract

In this paper, evacuation dynamics in an office building is studied by experiment and simulation. A lattice gas (LG) model is developed. A parameter called ‘exit bias’ is introduced into the model to describe the occupants’ familiarity with different exits in a building. The evacuation experiment, which consists of seven scenarios under various conditions, is conducted to verify the model and calibrate the model’s input parameters such as pedestrian speed and exit bias. The effect of exit width on flow rate, and the effect of occupants’ familiarity with the building on their route selections, are studied. It is found that the accuracy of simulation depends a lot on the model’s pedestrian speed. The optimal pedestrian speed is decided by not only occupant characteristics, but also flow features determined by people distribution, building structure, environment pressure, etc. LG models with proper pedestrian speed are capable of simulating the dynamic process of orderly emergency evacuations.

Suggested Citation

  • Li, Xiaomeng & Chen, Tao & Pan, Lili & Shen, Shifei & Yuan, Hongyong, 2008. "Lattice gas simulation and experiment study of evacuation dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(22), pages 5457-5465.
    • Handle: RePEc:eee:phsmap:v:387:y:2008:i:22:p:5457-5465
    DOI: 10.1016/j.physa.2008.05.024
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    Citations

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    Cited by:

    1. Miyagawa, Daiki & Ichinose, Genki, 2020. "Cellular automaton model with turning behavior in crowd evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    2. Tipakornkiat, Chalat & Limanond, Thirayoot & Kim, Hyunmyung, 2012. "Determining an influencing area affecting walking speed on footpath: A case study of a footpath in CBD Bangkok, Thailand," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5453-5464.
    3. Abdelghany, Ahmed & Abdelghany, Khaled & Mahmassani, Hani & Alhalabi, Wael, 2014. "Modeling framework for optimal evacuation of large-scale crowded pedestrian facilities," European Journal of Operational Research, Elsevier, vol. 237(3), pages 1105-1118.
    4. Lovreglio, Ruggiero & Ronchi, Enrico & Nilsson, Daniel, 2015. "Calibrating floor field cellular automaton models for pedestrian dynamics by using likelihood function optimization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 308-320.
    5. 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.
    6. Shang, Hua-Yan & Huang, Hai-Jun & Zhang, Yi-Ming, 2015. "An extended mobile lattice gas model allowing pedestrian step size variable," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 283-293.
    7. Han, Yanbin & Liu, Hong, 2017. "Modified social force model based on information transmission toward crowd evacuation simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 499-509.
    8. 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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