2021
DOI: 10.2507/ijsimm20-2-co8
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Multi-Scenario Simulation of Subway Emergency Evacuation Based on Multi-Agent

Abstract: This study introduces the mainstream theory of crowd evacuation based on multi-agent. Then a simulation model is developed based on Agent and Pathfinder to simulate the evacuation of three subway space types, including platform, station hall and stair. In addition, simulation is also carried out on the situation of the reverse running of the firefighters walking ladder and the different distribution of the crowd density. Finally, the simulation parameters are adjusted respectively to observe and compare the si… Show more

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Cited by 16 publications
(10 citation statements)
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“…Three venues, namely the platform, the station hall and the escalator, were examined. Evacuation times were investigated as a result of 200 people randomly heading to the doors (Wang, 2021).…”
Section: Pathfinder Simulation Program Literature Reviewmentioning
confidence: 99%
“…Three venues, namely the platform, the station hall and the escalator, were examined. Evacuation times were investigated as a result of 200 people randomly heading to the doors (Wang, 2021).…”
Section: Pathfinder Simulation Program Literature Reviewmentioning
confidence: 99%
“…Inturri et al constructed an agent-based simulation model, compared Demand Responsive Shared Transport (DRST) with taxi services and applied it to a real case in Italy [20]. Wang studied the subway emergency evacuation based on a simulation model of Agent and Pathfinder [21].…”
Section: Literature Reviewmentioning
confidence: 99%
“…In total, 15 evacuation experiments were conducted in a double decker train in Czech Republic and 91 passengers were called for the experiments that were conducted under various scenarios by varying widths, exit types and exit methods. Wang [12] studied the evacuation of passengers from the two floor metro station subway and station hall using pathfinder simulation model. In another study [13], an agent-based simulation model is used to handle the evacuation procedure in transit stations for various scenarios.…”
Section: Social Force Model and Viswalk Parametersmentioning
confidence: 99%