Research on Dynamic Route Generation Algorithms for Passenger Evacuation in Metro Station

摘要

The subway station has dense passenger flow and complicated facilities. The traditional path planning model only takes the geometric shortest path as the optimal path, and rarely considers the influence of the real-time density of passenger flow and the difficulty of path access on the selection of passenger evacuation path. The application is in the actual safe evacuation path planning, which is not conducive to rapid evacuation. During the movement of passengers inside the metro station, the popularity of the passengers has a certain similarity with the ant colony system. This paper aims to study the improved ant colony algorithm to generate the passenger flow dynamic evacuation route of the subway station.