论文标题
全面运输中心的城市铁路运输组和实时站控制的两阶段优化
Two-stage optimization of urban rail transit formation and real-time station control at comprehensive transportation hub
论文作者
论文摘要
本文试图讨论从两个方面来应对这一复杂乘客需求的两种策略：过境列车形成和实时持有控制。遗传算法（GA）旨在求解优化多层操作列车数量，时间表和实时保持控制数量的集成的两阶段模型。数值结果表明，多层摩擦操作的组合两阶段模型和在车站的控制权可以更好地处理与综合运输中心连接的城市铁路运输的需求波动。
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.
