Urban rail transit connecting with a comprehensive transportation hub should meet passenger demands not only within the urban area, but also from outer areas through high-speed railways or planes, which leads to different characteristics of passenger demands. This paper discusses two strategies to deal with these complex passenger demands from two aspects: transit train formation and real-time holding control. First, we establish a model to optimize the multi-marshalling problem by minimizing the trains’ vacant capacities to cope with the fluctuation of demand in different periods. Then, we establish another model to control the multi-marshalling trains in real time to minimize the passengers’ total waiting time. A genetic algorithm (GA) is designed to solve the integrated two-step model of optimizing the number, timetable and real-time holding control of the multi-marshalling trains. The numerical results show that the combined two-step model of multi-marshalling operation and holding control at stations can better deal with the demand fluctuation of urban rail transit connecting with the comprehensive transportation hub. This method can efficiently reduce the number of passengers detained at the hub station as well as the waiting time without increasing the passengers’ on-train time even with highly fluctuating passenger flow.

与综合交通枢纽相连的城市轨道交通不仅要满足市区内的客运需求，还要满足外围地区通过高铁或飞机的客运需求，从而形成不同的客运需求特征。本文从中转列车编队和实时等待控制两个方面讨论了应对这些复杂乘客需求的两种策略。首先，我们建立了一个模型，通过最小化列车的空载能力来优化多编组问题，以应对不同时期的需求波动。然后，我们建立了另一个模型来实时控制多编组列车，以最小化乘客的总等待时间。设计了遗传算法（GA）来求解优化数的集成两步模型，多编组列车的时刻表和实时保持控制。数值结果表明，站场多编组运行与保持控制相结合的两步模型能够更好地应对与综合交通枢纽相连的城市轨道交通的需求波动。这种方法可以有效减少在枢纽站滞留的乘客数量和等待时间，即使在客流高度波动的情况下也不会增加乘客的上车时间。