TRAFFIC AND PEDESTRIAN EMERGENCY SIMULATION FOR RAILWAY STATION FORECOURTS

The railway station forecourt is a critical node in the urban transportation network, where traffic organization and emergency evacuation capabilities directly impact public safety and operational efficiency. This study utilizes the AnyLogic simulation platform to construct a multidimensional simulation system for a small railway station forecourt along the Chengdu-Chongqing Midline Railway. By incorporating multi-agent modeling, the research develops a hybrid simulation model that comprehensively accounts for the coupled dynamics of vehicle traffic, pedestrian flow, and environmental factors, overcoming the limitations of traditional single-dimensional simulations. A dynamic simulation engine driven by real-time data enhances the prediction accuracy of emergency responses. The simulation analysis identifies key issues, including lane design constraints, insufficient traffic signal control, complex transfer flows, and inadequate emergency evacuation capacity. Optimization measures are proposed, such as dedicated lane allocation, intelligent signal control, parking management improvements, and enhanced pedestrian guidance. This study provides a scientific foundation for spatial design optimization, graded emergency planning, and the enhancement of emergency management capabilities at small railway station forecourts, offering valuable reference for transportation hub planning in China.