Capacity Analysis of a Passenger Rail Hub using Integrated Railway and Pedestrian Simulation

Abstract

As the level of passenger demand in rail transit systems increases, major railway stations in urban centres face serious capacity issues. Both analytical and simulation methods have been used to analyze complex station areas; however, prior efforts have only focused on either train or pedestrian movements with over-simplified assumptions that do not properly capture the impact of their interaction on capacity. This study applies an integrated crowd and transit simulation platform – Nexus – to simultaneously study the impact of pedestrian and train movements on the system performance of a complex railway station. Unlike other methods such as sequential simulation methods, the integrated simulation platform permits linkage between commercial grade simulators. Instead of treating each simulator separately, this integrated method enables detailed modelling of how the train and crowd kinematics interact at station platforms. Such integration aims to explore the interactive effect on both types of movement and enable performance analysis possible only through this combination. To validate the model, a case study is performed on Toronto’s Union Station. Extensive data were collected, processed and input into railway and pedestrian models constructed using OpenTrack and MassMotion, respectively, and integrated via Nexus. Examining scenarios of increased levels of train and passenger volumes, a 9\% drop in on-time performance of train operation is observed, while the level of crowding experienced by passengers on the platform has been significantly deteriorated. Both length and variation of dwell time due to pedestrian movement are recognized as the main factors of performance deterioration, especially when the system approaches capacity. The simulation model produces estimates of the practical trackside capacity of the station and associated platform crowding levels, and helps identify locations where passengers experience severe overcrowding, which are not easily obtainable from mathematical models.