Minimizing the evacuation time of a crowd from a complex building using rescue guides

Anton von Schantz*, Harri Ehtamo

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

In an emergency situation, the evacuation of a large crowd from a complex building can become slow or even dangerous without a working evacuation plan. The use of rescue guides that lead the crowd out of the building can improve the evacuation efficiency. An important issue is how to choose the number, positions, and exit assignments of these guides to minimize the evacuation time of the crowd. Here, we model the evacuating crowd as a multi-agent system with the social force model and simple interaction rules for guides and their followers. We formulate the problem of minimizing the evacuation time using rescue guides as a stochastic optimization problem. Then, we solve it with a procedure combining numerical simulation and a genetic algorithm (GA). The GA iteratively searches for the optimal evacuation plan, while numerical simulations evaluate the evacuation time of the plans. We apply the procedure on a test case and on an evacuation of a fictional conference building. The procedure is able to solve the number of guides, their initial positions and exit assignments in a single although complicated optimization. The attained results show that the procedure converges to an optimal evacuation plan, which minimizes the evacuation time and mitigates congestion and the effect of random deviations in agents’ motion.

Original languageEnglish
Article number127011
Number of pages20
JournalPhysica A
Volume594
DOIs
Publication statusPublished - 15 May 2022
MoE publication typeA1 Journal article-refereed

Keywords

  • Evacuation
  • Genetic algorithm
  • Multi-agent system
  • Numerical simulation
  • Stochastic optimization

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