A Macroscopic Simulation Model Of Passenger Flows At Railway Platforms : A Case Study At Deventer Train Station

This research aims to develop a simulation model that can quickly predict pedestrian flows on a railway platform to analyze instantaneously the effects of platform closures on crowding at a platform. The study is performed to provide a tool that provides a quick evaluation tool for assessing the impact of platform design on passenger crowding. This study utilizes the macro- scopic Cell Transmission Model (CTM) to simulate pedestrian densities on railway platforms and the results of this simulation study are validated by comparing the simulation output to data provided by the Dutch national railways operator NS. The model is able to accurately predict outflows at the platform for various scenarios using predefined parameters, providing valuable insights into passenger flow dynamics. It presents an efficient and adaptable simulation model with promising potential for real-world application.