交通运输系统工程与信息 ›› 2018, Vol. 18 ›› Issue (2): 171-176.

• 系统工程理论与方法 • 上一篇    下一篇

一种实时抗干扰的列车节能—晚点恢复模型

曾壹 1a, 1b, 2,张琦*1b, 2,陈峰 1b, 2   

  1. 1. 中国铁道科学研究院 a. 研究生部,b. 通信信号研究所,北京 100081; 2. 国家铁路智能运输系统工程技术研究中心,北京 100081
  • 收稿日期:2017-11-06 修回日期:2018-02-25 出版日期:2018-04-25 发布日期:2018-04-25
  • 作者简介:曾壹(1990-),男,江西宁都人,博士生.
  • 基金资助:

    中国铁路总公司科研专项/China Railway Research Project(J2017X001).

An Energy-delay Optimization Method for Real-time Train Path Disturbances in Transportation Network

ZENG Yi1a, 1b, 2, ZHANG Qi1b, 2, CHEN Feng1b, 2   

  1. 1a. Postgraduate Department, 1b. Signal & Communication Research Institute, China Academy of Railway Sciences, Beijing 100081, China; 2. National Research Center of Railway Intelligence Transportation System Engineering Technology, Beijing 100081, China
  • Received:2017-11-06 Revised:2018-02-25 Online:2018-04-25 Published:2018-04-25

摘要:

列车占用、出清线路设备的时间受外部因素影响后会发生晚点现象.国内外普遍采用调整运行方案或运行曲线,即宏观或微观方法处理列车晚点问题.本文对列车晚点问题的研究现状做了详细分析,然后使用区间锁闭时间模型预测晚点增加与传播的范围,设计了一种实时抗干扰的列车节能—晚点恢复模型,使用微观方法避让受干扰区段,同时降低列车牵引能耗并缓解晚点现象.通过广铁集团CTC实时车次信息与相应区间参数制作的晚点场景,模型降低能耗与处理晚点的能力得到了验证.模拟计算表明:可降速的子区间越多,列车可避让的晚点时长越长;晚点较大时,则应使用更多数据或转化为宏观问题来解决.

关键词: 铁路运输;节能&mdash, 晚点恢复模型;区间锁闭时间模型;晚点缓解;晚点传播;列车节能

Abstract:

The timing when trains occupy and clear a track could be affected by external factors and result in delay. Processing of train delay is mainly involved with adjusting timetable in macroscopic level, and train path in microscopic level. The paper investigates state of the art of train delay problem, and puts forward an energy-delay optimization method for real-time train path disturbances which alters train path to leave affected blocks, meanwhile tractive energy and delay are decremented. Delay modeling of the method is based on blocking time model. Through the examples prepared with real-time data and section parameters from Guangzhou railway group CTC system, the model is verified to handle tractive energy saving and delay problems. Simulation results shows that the more sub-sections capable for speed reduction, the more probable a large delay would be handled. Processing of large delay need more real-time data, or the problem should be converted and solved with macroscopic timetabling methods.

Key words: railway transportation, energy-delay optimization model, blocking time model, delay recovery, delay propagation, train energy saving

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