Simulation of Fire Emergency Evacuation in Metro Station Based on Cellular Automata

Abstract

Evaluating the evacuation capacity of metro station under emergencies such as fires, as well as improving the emergency protection capability of rail transit system, is an important part of rail transit operation management. Based on the analysis of the impact of different factors on passenger's behavior under fire evacuation in metro station, this study models the facilities in metro station including gates, stairs, passageways, entrances and exits, and simulates the process of fire spread and the passenger evacuation scenarios by the model of cellular automata. A case study is brought out to illustrate the impact of different factors on evacuation capacity and evaluate the rationality of the station layout. The simulation result can provide basis for reconstruction of station facilities and layout design of the station.