交通运输系统工程与信息 ›› 2018, Vol. 18 ›› Issue (1): 193-199.

• 系统工程理论与方法 • 上一篇    下一篇

高速铁路车站咽喉区与到发线综合运用优化

刘杰1, 2,殷勇*1, 2,甘志良1, 2   

  1. 1. 西南交通大学 交通与物流学院,成都 610031;2. 综合交通运输智能化国家地方联合工程实验室,成都 610031
  • 收稿日期:2017-06-23 修回日期:2017-09-28 出版日期:2018-02-25 发布日期:2018-02-26
  • 作者简介:刘杰(1993-),男,四川德昌人,博士生.
  • 基金资助:

    国家重点研发计划资助/National Key R & D Program of China(2017YFB1200700).

Comprehensive Optimization for Utilization of Arrivaldeparture Tracks and Throat Area in High-speed Railway Station

LIU Jie 1, 2, YIN Yong 1, 2, GAN Zhi-liang 1, 2   

  1. 1. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China; 2. Integrated Transportation and Intelligent National Local Joint Engineering Laboratory, Chengdu 610031, China
  • Received:2017-06-23 Revised:2017-09-28 Online:2018-02-25 Published:2018-02-26

摘要:

研究接发列车的到发线分配和咽喉区进路选择问题,在满足到发线使用规则的条 件下,以作业计划稳定性强和接发车进路条件优为目标,构建到发线与车站咽喉区运用多目 标优化模型.采用改进的带精英策略的非支配排序遗传算法(NSGA-II)对模型进行求解,算法 能有效保存优秀个体和降低计算复杂度.最后以某高速铁路车站为例,采用Matlab 编程得到 模型的Pareto 最优解集,从解集中选择1 个解,将其结果与原始到发线方案进行对比,结果表 明,采用该模型和算法能有效改进车站咽喉区与到发线的综合运用方案.

关键词: 铁路运输, 综合优化, 改进的带精英策略的非支配排序遗传算法(NSGA-II), 到发 线, 咽喉区, 高速铁路车站, Pareto最优解

Abstract:

It is studied in this paper that the arrival-departure tracks distribution and throat area of the train route choice problem. Under the condition of satisfying the application rules of the line, the multi-objective optimization model is built for arrival-departure tracks and the throat area of station. The objective of the model is obtaining a strong stability of the operation plan, and the optimal route condition of the incoming train. It is solved by the nondominated sorting genetic algorithm-II (NSGA-II). The algorithm can effectively save the outstanding individuals and reduce the computational complexity. Finally, taking a high- speed railway station as an example, Matlab software is programmed to obtain Pareto optimal solutions. A optimization scheme is chosen to compared and analyzed with the original scheme. The results show that the model and the algorithm can effectively improve the comprehensive application scheme of the throat area and the arrival and departure lines of the station.

Key words: railway transportation, comprehensive optimization, non-dominated sorting genetic algorithm-II (NSGA-II), arrival-departure tracks, throat area, high-speed railway station, Pareto optimal solution

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