• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 56 Issue 2
Apr.  2021
Turn off MathJax
Article Contents
ZHONG Qingwei, ZHANG Yongxiang, WANG Dian, YIN Yong, YAN Xu, PENG Qiyuan. Optimization Model and Algorithm for Train-Set Scheduling Based on Trip Sequence[J]. Journal of Southwest Jiaotong University, 2021, 56(2): 385-394. doi: 10.3969/j.issn.0258-2724.20191140
Citation: ZHONG Qingwei, ZHANG Yongxiang, WANG Dian, YIN Yong, YAN Xu, PENG Qiyuan. Optimization Model and Algorithm for Train-Set Scheduling Based on Trip Sequence[J]. Journal of Southwest Jiaotong University, 2021, 56(2): 385-394. doi: 10.3969/j.issn.0258-2724.20191140

Optimization Model and Algorithm for Train-Set Scheduling Based on Trip Sequence

doi: 10.3969/j.issn.0258-2724.20191140
  • Received Date: 11 Dec 2019
  • Rev Recd Date: 01 Mar 2020
  • Available Online: 09 Mar 2021
  • Publish Date: 15 Apr 2021
  • Usually, the train-set schedule involves several practical aspects, such as operational safety, efficiency, and cost. The quality and efficiency of the schedule have a significant impact on the operation of high-speed railways. In order to quickly obtain a high-quality train-set schedule, a mixed-integer linear programming (MILP) model that takes composition changes on the basis of the trip sequences was established with the optimization goals of reducing operating costs and total deadhead mileages. Furthermore, an iterative gap reducing algorithm is developed to solve the MILP model, which divides the whole problem into the master problem and sub-problem. The master problem provides an effective lower bound for the whole problem, and its solutions that can pass the sub-problem provide an effective upper bound for the whole problem. As a result, the algorithm can continuously reduce the gap between bounds and generate a new feasible solution towards the lower bound. The real cases show that compared with the manual method, the proposed method can generate a high quality one-day train-set schedule in a short time, which reduces the total operating costs by 10.5% and the total deadhead mileage by 23%.

     

  • loading
  • 彭其渊,李建光,杨宇翔,等. 高速铁路建设对我国铁路运输的影响[J]. 西南交通大学学报,2016,51(3): 525-533. doi: 10.3969/j.issn.0258-2724.2016.03.011

    PENG Qiyuan, LI Jianguang, YANG Yuxiang, et al. Influences of high-speed railway construction on railway transportation of China[J]. Journal of Southwest Jiaotong University, 2016, 51(3): 525-533. doi: 10.3969/j.issn.0258-2724.2016.03.011
    尹深, 曾伟. 全国铁路今起实行新的列车运行图. [EB/OL]. 人民网, (2019-04-10)[2019-04-10]. http://society.people.com.cn/n1/2019/0410/c1008-31021820.html? utm_source=UfqiNews
    ABBINK E, BERG B V D, KROON L, et al. Allocation of railway rolling stock for passenger trains[J]. Transportation Science, 2004, 38(1): 33-41. doi: 10.1287/trsc.1030.0044
    ALFIERI A, GROOT R, KROON L, et al. Efficient circulation of railway rolling stock[J]. Transportation Science, 2006, 40(3): 378-391. doi: 10.1287/trsc.1060.0155
    FIOOLE P J, KROON L, MARÓTI G, et al. A rolling stock circulation model for combining and splitting of passenger trains[J]. European Journal of Operational Research, 2006, 174(2): 1281-1297. doi: 10.1016/j.ejor.2005.03.032
    MARÓTI G, KROON L. Maintenance routing for train units:the transition model[J]. Transportation Science, 2005, 39(4): 518-525. doi: 10.1287/trsc.1050.0116
    GÁBOR M, LEO K. Maintenance routing for train units:the interchange model[J]. Computers & Operations Research, 2007, 34(4): 1121-1140.
    史峰,周文梁,郁宇卫,等. 客运专线动车组运用计划优化模型与算法[J]. 铁道学报,2011,33(1): 1-13. doi: 10.3969/j.issn.1001-8360.2011.01.001

    SHI Feng, ZHOU Wenliang, YU Yuwei, et al. Optimized model and algorithm of motor trains-sets scheduling for dedicated passenger lines[J]. Journal of the China Railway Society, 2011, 33(1): 1-13. doi: 10.3969/j.issn.1001-8360.2011.01.001
    赵鹏,富井规雄. 基于路段交换的多基地动车组运用计划的编制算法[J]. 铁道学报,2004,26(1): 7-11. doi: 10.3321/j.issn:1001-8360.2004.01.002

    ZHAO Peng, NORIO Tomii. An algorithm for multiple-bases train-set scheduling based on path-exchange[J]. Journal of the China Railway Society, 2004, 26(1): 7-11. doi: 10.3321/j.issn:1001-8360.2004.01.002
    王莹,刘军,苗建瑞. 基于列生成算法的动车组检修计划优化[J]. 中国铁道科学,2010,31(2): 115-120.

    WANG Ying, LIU Jun, MIAO Jianrui. Column generation algorithms based optimization method for maintenance scheduling of multiple units[J]. China Railway Science, 2010, 31(2): 115-120.
    李建,林柏梁,耿令乾,等. 基于交路接续的动车组运用计划优化模型与算法[J]. 交通运输系统工程与信息,2015,15(5): 172-177,194.

    LI Jian, LIN Boliang, GENG Lingqian, et al. Optimizaiton model and algorithm for motor trainset utilization scheduling based on routes connection[J]. Journal of Transportation Systems Engineering and Information Technology, 2015, 15(5): 172-177,194.
    LI J, LIN B, WANG Z, et al. A pragmatic optimization method for motor trainset assignment and maintenance scheduling problem[J]. Discrete Dynamics in Nature & Society, 2016(3): 1-13.
    BORNDÖRFER R, REUTHER M, SCHLECHTE T, et al. Integrated optimization of rolling stock rotations for intercity railways[J]. Transportation Science, 2016, 50(3): 863-877. doi: 10.1287/trsc.2015.0633
    高博, 曹国厂. 我国首列可变编组动车组已具备出厂条件[EB/OL]. 新华网, (2019-02-25)[2019-02-25]. http://www.gd.xinhuanet.com/newscenter/2019-02/25/c_1124157073.htm
    殷勇,陈锦渠,朱蔓,等. 城市轨道交通站点失效修复策略[J]. 西南交通大学学报,2020,55(4): 865-872.

    YIN Yong, CHEN Jinqu, ZHU Man, et al. Repair strategies for failure of urban rail transit stations[J]. Journal of Southwest Jiaotong University, 2020, 55(4): 865-872.
    ZHONG Q, LUSBY R M, LARSEN J, et al. Rolling stock scheduling with maintenance requirements at the Chinese high-speed railway[J]. Transportation Research Part B: Methodological, 2019, 126: 24-44.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(5)  / Tables(3)

    Article views(714) PDF downloads(52) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return