Boarding behavior on the platform of high-speed railway (HSR) station, as a critical problem that has not been fully explored and understood, is investigated in this paper. An extended cellular automaton (CA) model is proposed to study the impacts of passengers’ heterogeneities during the boarding process. Some numerical tests are conducted to explore the passengers’ movements and the complex traffic phenomena (e.g., passenger's detour behavior, local congestion and overtaking behavior) on the platform. The numerical results show that the proportion of the passengers carrying luggage has significant impacts on the boarding process (e.g., the degree of congestion, inflow rate at the entrance and route choice). Moreover, the heterogeneous speeds increase the total boarding time and decrease the boarding efficiency comparing with the homogenous speeds. The above results are helpful for the effective management of pedestrian flow on the HSR platform and the optimal design of HSR platform layout.

本文研究了尚未充分探讨和理解的一个关键问题，即高铁车站平台上的登车行为。提出了一种扩展的细胞自动机（CA）模型，以研究乘客在登机过程中异质性的影响。进行了一些数值测试，以探索平台上乘客的运动和复杂的交通现象（例如，乘客的绕行行为，局部拥堵和超车行为）。数值结果表明，携带行李的乘客比例对登机过程有重大影响（例如，拥挤程度，入口处的进站流量和路线选择）。此外，与同等速度相比，异类速度会增加总登机时间并降低登机效率。以上结果有助于高铁平台上行人流量的有效管理和高铁平台布局的优化设计。