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A SUBWAY TRAIN TIMETABLE OPTIMIZATION APPROACH BASED ON ENERGY-EFFICIENT OPERATION STRATEGY

机译:基于节能运行策略的地铁列车时间表优化方法

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With the rising energy prices and environment concerns, energy-efficient operation is paid more and more attention in the subway systems, which is one of the effective ways to reduce the operation cost and then improve the operation efficiency. There are many researches for energy-efficient operation on designing a reasonable timetable or optimizing the speed profile, but all of them are studied separately. To achieve a better performance on energy saving, we present an integrated algorithm for optimizing the timetable for the entire route together with the speed profiles between successive stations, which is named as integrated timetable. First, we give an analytical algorithm to get the optimal switching points for each section by using the Pontryagin maximum principle. For dealing with the variable speed limits, we calculate the reserve time, i.e., the difference between the predetermined trip time and the minimum trip time, and then design an algorithm to distribute it among different sections with constant speed limits. Finally, we extend the algorithm to solve the integrated timetable. We also give some numerical examples to illustrate the validity of the algorithm based on the data from the Beijing YiZhuang subway line in China. It is recorded that the energy consumption for interstation trip can be reduced by 10.3% on average, and the total energy reduction for the entire trip is 14.5% by using the integrated timetable. Besides, it takes about 0.15 seconds to generate the integrated timetable, which means that the algorithm is quick enough to be used in the automatic train operation (ATO) system for real-time control.
机译:随着能源价格的上涨和环境问题,节能的操作是在地铁系统,这是降低运营成本,进而提高工作效率的有效途径之一受到越来越多的关注。有用于节能运行许多研究设计一个合理的时间表或优化的速度曲线,但所有的人都分别进行研究。为了实现节能更好的性能,我们提出了一个集成的算法与连续站,被命名为整合时间表的速度曲线一起优化整个路线的时间表。首先,我们作为分析算法利用庞特里亚金最大值原理,以获取每个截面的最优的切换点。用于处理与可变速度的限制,我们计算在准备时间,即,那么预定的跳闸时间与最小跳闸时间之间的差值,并设计一个算法,以恒定的速度极限的不同部分之间分发。最后,我们扩展了算法来解决集成的时间表。我们也给一些数值例子来说明该算法的基础上从中国的北京地铁亦庄线的数据的有效性。据记载,可以通过10.3%降低平均为站间行程的能量消耗,以及对整个行程的总能量减少是14.5%,通过使用集成的时间表。此外,它需要约0.15秒至产生集成的时间表,这意味着该算法是在自动列车运行(ATO)系统以用于实时控制够快。

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