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 analyse 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 dynamic 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 service experienced by passengers on the platform deteriorates significantly due to crowding. Both length and variation in dwell time due to pedestrian movement are recognized as the main factors of performance deterioration, especially when the system approaches capacity limit. The simulation model produces estimates of the practical track-side 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.

随着轨道交通系统客运需求水平的提高，城市中心的主要火车站面临着严重的容量问题。分析和模拟方法都已用于分析复杂的车站区域；然而，之前的努力只关注火车或行人的运动，假设过于简单，无法正确捕捉它们相互作用对容量的影响。本研究应用集成的人群和交通模拟平台“Nexus”，同时研究行人和火车运动对复杂火车站系统性能的影响。与序列仿真方法等其他方法不同，集成仿真平台允许商业级仿真器之间的链接。而不是分别对待每个模拟器，这种集成方法可以对车站平台上火车和人群的动态交互方式进行详细建模。这种整合旨在探索这两种运动的交互效果，并实现只有通过这种组合才能进行的性能分析。为了验证该模型，我们在多伦多联合车站进行了案例研究。广泛的数据被收集、处理并输入到分别使用 OpenTrack 和 MassMotion 构建的铁路和行人模型中，并通过 Nexus 进行集成。检查列车和乘客量增加的情景，观察到列车运行的准点率下降了 9%，而站台上的乘客体验到的服务水平由于拥挤而显着下降。行人移动导致的停留时间长度和变化均被认为是性能恶化的主要因素，尤其是当系统接近容量极限时。该仿真模型可估算车站的实际轨道侧容量和相关的站台拥挤程度，并有助于确定乘客经历严重过度拥挤的位置，这些位置很难从数学模型中获得。