Modeling framework for optimal evacuation of large-scale crowded pedestrian facilities

Ahmed Abdelghany, Khaled Abdelghany, Hani Mahmassani and Wael Alhalabi

European Journal of Operational Research, 2014, vol. 237, issue 3, 1105-1118

Abstract: The paper presents a simulation–optimization modeling framework for the evacuation of large-scale pedestrian facilities with multiple exit gates. The framework integrates a genetic algorithm (GA) and a microscopic pedestrian simulation–assignment model. The GA searches for the optimal evacuation plan, while the simulation model guides the search through evaluating the quality of the generated evacuation plans. Evacuees are assumed to receive evacuation instructions in terms of the optimal exit gates and evacuation start times. The framework is applied to develop an optimal evacuation plan for a hypothetical crowded exhibition hall. The obtained results show that the model converges to a superior optimal evacuation plan within an acceptable number of iterations. In addition, the obtained evacuation plan outperforms conventional plans that implement nearest-gate immediate evacuation strategies.

Keywords: Crowd dynamics; Evacuation; Simulation; Cellular automata; Genetic algorithms (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (16)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:237:y:2014:i:3:p:1105-1118

DOI: 10.1016/j.ejor.2014.02.054

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