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A Multi-objective Programming Model for Subway Last Train Timetabling

机译:地铁末班车时间表的多目标规划模型

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摘要

Subway last train timetabling focuses more on train coordination to make passengers transfer smoothly. Aiming to find an optimal balanced timetabling, a multi-objectives programming model is proposed with speed profile control for finding the optimal train velocity on sections and train dwell time at stations. Our work makes two contributions. First, this paper analyzes train movements in a line and provides an energy flow transferring method. Second, based on the analysis of train velocity and energy flow, an optimization model, in which passenger satisfaction, train trip time and network energy consumption are model objectives, is brought into the last train timetabling. Finally, to obtain an approximately optimal scheduling strategy, an artificial intelligence algorithm is proposed in particular to effectively solve the proposed model. The results of numerical experiments demonstrate the efficiency and effectiveness of the proposed method.
机译:地铁末班车时间表更注重火车的协调,以使乘客顺利转乘。为了找到一个最佳的平衡时间表,提出了一种多目标规划模型,该模型具有速度分布控制,可以找到断面的最佳列车速度和车站的列车停留时间。我们的工作有两个贡献。首先,本文分析了列车在一条直线上的运动,并提供了一种能量传递方法。其次,在对火车速度和能量流进行分析的基础上,将以乘客满意度,火车行程时间和网络能耗为模型目标的优化模型纳入最后的火车时刻表中。最后,为了获得近似最优的调度策略,提出了一种人工智能算法,以特别有效地解决该模型。数值实验结果证明了该方法的有效性和有效性。

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