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A Two-Objective Timetable Optimization Model in Subway Systems

机译：地铁系统中的两目标时间表优化模型

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摘要

The train timetable optimization problem in subway systems is to determine arrival and departure times for trains at stations so that the resources can be effectively utilized and the trains can be efficiently operated. Because the energy saving and the service quality are paid more attention, this paper proposes a timetable optimization model to increase the utilization of regenerative energy and, simultaneously, to shorten the passenger waiting time. First, we formulate a two-objective integer programming model with headway time and dwell time control. Second, we design a genetic algorithm with binary encoding to find the optimal solution. Finally, we conduct numerical examples based on the operation data from the Beijing Yizhuang subway line of China. The results illustrate that the proposed model can save energy by 8.86% and reduce passenger waiting time by 3.22% in comparison with the current timetable.
机译：地铁系统中的火车时刻表优化问题是确定火车在车站的到达和离开时间，以便可以有效地利用资源并且可以有效地运营火车。由于更加注重节能和服务质量，本文提出了一种时间表优化模型，以提高可再生能源的利用率，同时缩短乘客的等候时间。首先，我们建立了具有时距和停留时间控制的两目标整数规划模型。其次，我们设计了一种具有二进制编码的遗传算法以找到最佳解。最后，我们基于中国北京亦庄地铁线的运营数据进行了数值示例。结果表明，与当前时刻表相比，该模型可节省能源8.86％，减少乘客等候时间3.22％。

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