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Research on Simulation Model of Metro Emergency Evacuation Behavior Considering Small Groups

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Published:06 August 2020Publication History

ABSTRACT

With the popularity of subway, a large number of passengers stay in the subway station. When an emergency occurs, passengers evacuation behavior have the characteristics of small groups. Therefore, the panic factor is added on the classic social force, and the expected speed of small group evacuation is improved in this paper. The improved model is more close to the actual situation of pedestrian movement characteristics. This paper takes a station accident as an example to study the influence of small group behavior with panic state on emergency evacuation of subway. The simulation results show that different panic factor and small group size have significant impact on evacuation time and evacuation rate. The larger the size group, the longer the evacuation time. Thus, the passenger stay time becomes longer in the station.

References

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    • Published in

      cover image ACM Other conferences
      HP3C 2020: Proceedings of the 2020 4th International Conference on High Performance Compilation, Computing and Communications
      June 2020
      191 pages
      ISBN:9781450376914
      DOI:10.1145/3407947

      Copyright © 2020 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 6 August 2020

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