Dynamic Emergency Evacuation System for Large Public Building

  • Yongming ZhangEmail author
  • Zhe Yan
  • Xueli Zhu
  • Wenjie Piao
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 890)


Nowadays, it has been an important issue to evacuate mass occupants for safety from large public buildings under emergency conditions. However, evacuation design in public buildings still remains in a static plan, which is difficult to deal with diverse types of hazards and problems of uneven personnel distribution. Thus, a set of guidelines for safety design of large public buildings, or even a set of dynamical emergency evacuation systems, is necessary. In this paper, an emergency evacuation system for large public buildings is proposed based on intelligent building by means of two commercial simulation platforms—PyroSim and Pathfinder.


Large public building Emergency evacuation Simulation PyroSim Pathfinder 



This paper is supported by Science and Technology Support Plan Project from Ministry of Housing and Urban-Rural Development of China (Grant No. 2016-K4-024).


  1. 1.
    Stahl, F.I.: BFIRES-II: a behavior based computer simulation of emergency egress during fires. Fire Technol. 18(1), 49–65 (1982)CrossRefGoogle Scholar
  2. 2.
    Gwynne, S., Galea, E.R., Lawrence, P.J., Owen, M., Filippidis, L.: A systematic comparison of model predictions produced by the building Exodus evacuation model and the Tsukuba pavilion evacuation data. J. Appl. Fire Sci. 7(3), 235–266 (1998)Google Scholar
  3. 3.
    Thompson, P.A., Marchant, E.W.: A computer model for the evacuation of large building populations. Fire Saf. J. 24(95), 131–148 (1995)CrossRefGoogle Scholar
  4. 4.
    Glasa, J.: Use of PyroSim for simulation of cinema fire. Int. J. Recent. Trends Eng. & Technol. (2012)Google Scholar
  5. 5.
    Wang, H.R., Chen, Q.G., Yan, J.B., Yuan, Z., Liang, D.: Emergency guidance evacuation in fire scene based on pathfinder. In: International Conference on Intelligent Computation Technology and Automation (pp. 226–230). IEEE (2015)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Yongming Zhang
    • 1
    Email author
  • Zhe Yan
    • 1
  • Xueli Zhu
    • 2
  • Wenjie Piao
    • 1
  1. 1.Tongji UniversityShanghaiChina
  2. 2.Silicon Lake College of Vocational TechnologySuzhouChina

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