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The problem of managing effective pedestrian evacuation during disruptions is a significant challenge because of the complexity and randomness of the passenger flow dynamics as well as the difficulty in predicting the responsive behaviour of the passengers. In this study, a hybrid agent-based and discrete-event simulation model of passenger flow is designed and implemented to assess the service level performance and the crowdedness ratio in a transfer metro station. This study investigates the statistical significance of the results obtained by the design alternatives and the safety analysis of a multiple-level transfer station through a real-world case study. The simulation model is designed to test various disruption scenarios, including train failure in the tunnel, as well as fire at the station gallery of a crowded metro station. The simulation result shows that the evacuation time can be decreased by 19.5%, compared with the basic design layout.
Hassannayebi et al. (Thu,) studied this question.
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