This paper tries to discuss two strategies of dealing with this complex passenger demand from two aspects: transit train formation and real-time holding control. The genetic algorithm (GA) is designed to solve the integrated two-stage model of optimizing the number, timetable and real-time holding control of the multi-marshalling operated trains. The numerical results show that the combined two-stage 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.

中文翻译：

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综合交通枢纽城市轨道交通编组与实时站控两阶段优化

本文试图从中转列车编队和实时等待控制两个方面讨论处理这种复杂乘客需求的两种策略。遗传算法(GA)是为求解多编组运行列车编组数、时刻表和实时等待控制优化的综合两阶段模型而设计的。数值结果表明，站场多编组运控两阶段组合模型能较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。