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Adaptive Agent-Based Modeling Framework for Collective Decision-Making in Crowd Building Evacuation

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Abstract

Crowd evacuation in different situations is an important topic in the research field of safety. This paper presents a hybrid model for heterogeneous pedestrian evacuation simulation. Our adaptive agent-based model (ABM) combines the strength of human crowd behavior description from classical social force models with discrete dynamics expression from cellular automaton models by extending the conception of floor field. Several important factors which may influence the results of decision-making of pedestrians are taken into consideration, such as the location of sign, the attraction of exit, and the interaction among pedestrians. To compare the effect of information on the pedestrians, we construct three decision-making mechanisms with different assumptions. To validate these three simulation models, we compare the numerical results from different perspectives with rational range in the case study where the Tampere Theater evacuation was carried out. The ABM framework is open for rules modification and could be applied to different building plans and has implication for architectural design of gates and signs in order to increase the evacuation efficiency.

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Authors and Affiliations

  1. State Key Laboratory of Ocean Engineering; Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education, Shanghai Jiao Tong University, Shanghai, 200240, China

    Feier Chen  (陈飞儿)

  2. Marautec Co., Ltd., Shanghai, 201206, China

    Feier Chen  (陈飞儿)

  3. Zhiyuan College, Shanghai Jiao Tong University, Shanghai, 200240, China

    Qiyuan Zhao  (赵祺源) & Mingming Cao  (曹明明)

  4. School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, 200240, China

    Jiayi Chen  (陈嘉屹)

  5. Institute of Fintech, Shanghai University of Finance and Economics, Shanghai, 200433, China

    Guiyuan Fu  (傅桂元)

Authors
  1. Feier Chen  (陈飞儿)
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  2. Qiyuan Zhao  (赵祺源)
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  3. Mingming Cao  (曹明明)
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  4. Jiayi Chen  (陈嘉屹)
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  5. Guiyuan Fu  (傅桂元)
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Correspondence to Feier Chen  (陈飞儿).

Additional information

Foundation item: the Natural Science Foundation of Shanghai (No. 18ZR1420200), the National Natural Science Foundation of China (No. 61603253), and the China Postdoctoral Science Foundation Funded Project (No. 2016M601598)

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Chen, F., Zhao, Q., Cao, M. et al. Adaptive Agent-Based Modeling Framework for Collective Decision-Making in Crowd Building Evacuation. J. Shanghai Jiaotong Univ. (Sci.) 26, 522–533 (2021). https://doi.org/10.1007/s12204-021-2287-3

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  • DOI: https://doi.org/10.1007/s12204-021-2287-3

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