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Collective behavior of mice passing through an exit under panic

Author

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  • Zhang, Teng
  • Zhang, Xuelin
  • Huang, Shenshi
  • Li, Changhai
  • Lu, Shouxiang

Abstract

Collective movement of animal in emergency condition has attracted growing attentions among researchers. However, many rules still need to be confirmed with adequate explanation. Study of collective behavior of mice can improve our understanding about the dynamics of pedestrian movement. However, its rules still need to be confirmed with adequate explanation. In this paper, collective behavior of mice passing through an exit under panic was investigated. The results showed that the total evacuation time decreased with exit width increasing in a certain range. Based on the different tendency of the curve in temporal evolution, the process of mice flow was divided into three stages. The density of mice near the exit peaks at a certain horizontal offset and starts to decrease over time. With the increase of the exit width, the duration of the higher density state decreased. We found that the frequency of time intervals obeyed a lognormal distribution or an exponential decay for different exit widths. In addition, the relationship between the group size and the group flow rate in different scenarios was analyzed. The phenomena found in our experiments show the collective behavioral characteristic of mice under panic. Our analysis in this paper will deepen our understanding of crowd dynamics in emergency condition.

Suggested Citation

  • Zhang, Teng & Zhang, Xuelin & Huang, Shenshi & Li, Changhai & Lu, Shouxiang, 2018. "Collective behavior of mice passing through an exit under panic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 233-242.
    • Handle: RePEc:eee:phsmap:v:496:y:2018:i:c:p:233-242
    DOI: 10.1016/j.physa.2017.12.055
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    References listed on IDEAS

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    1. Lin, Peng & Ma, Jian & Liu, Tian Yang & Ran, Tong & Si, You Liang & Wu, Fan Yu & Wang, Guo Yuan, 2017. "An experimental study of the impact of an obstacle on the escape efficiency by using mice under high competition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 228-242.
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    Cited by:

    1. Zhou, Jibiao & Chen, Siyuan & Ma, Changxi & Dong, Sheng, 2022. "Stability analysis of pedestrian traffic flow in horizontal channels: A numerical simulation method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 587(C).

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