Optimal time interval of information update using by exit-choice system to improve pedestrian evacuation efficiency

Kong-Jin Zhu, Jun Zhu, Shao-Bo Cai, Xiang Ling, Chao-Yun Wu, Qing-Yi Hao and Ning Guo
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Kong-Jin Zhu: School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei 230009, P. R. China
Jun Zhu: School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei 230009, P. R. China
Shao-Bo Cai: ��School of Rui’an, Wenzhou Polytechnic, Zhejiang 325035, P. R. China
Xiang Ling: School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei 230009, P. R. China
Chao-Yun Wu: ��School of Mathematics and Computational Science, Anqing Normal University, Anqing 246133, P. R. China
Qing-Yi Hao: ��School of Mathematics and Computational Science, Anqing Normal University, Anqing 246133, P. R. China
Ning Guo: School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei 230009, P. R. China

International Journal of Modern Physics C (IJMPC), 2024, vol. 35, issue 11, 1-19

Abstract: In the case of emergency evacuation of large places, the rapid evacuation of pedestrians has always been a matter of great concern. However, research on pre-movement behavior and decision-making fatigue behavior of pedestrians in emergency evacuation situations is limited. In order to study how to improve evacuation efficiency under the introduction of exit-choice system, this paper uses the cellular automata model to simulate different exit arrangements and exit numbers at different time intervals of information update by the system. It is found that there is an optimal time interval of information update when three exits of a room have different widths, and the evacuation time significantly reduces compared to real-time update. The potential mechanism of the optimal time interval of information update is that the evacuees can be reasonably allocated to each exit, so that the passage capacity of each exit can be maximized, and the evacuation time is significantly reduced. Sensitivity analysis shows that the change of exit location has an important influence on the evacuation time. The different pre-movement times of pedestrians have a certain degree of influence on the evacuation time of real-time update. The different distance parameters and flow parameters had a significant impact on the evacuation time in the real-time update case.

Keywords: Pedestrian evacuation; time interval of information update; floor field; pre-movement time; decision fatigue (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S0129183124501389

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