• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus 收录
  • 全国中文核心期刊
  • 中国科技论文统计源期刊
  • 中国科学引文数据库来源期刊

基于两阶段算法的运行图与天窗协同优化

徐长安 倪少权 陈钉均

徐长安, 倪少权, 陈钉均. 基于两阶段算法的运行图与天窗协同优化[J]. 西南交通大学学报, 2020, 55(4): 882-888. doi: 10.3969/j.issn.0258-2724.20180577
引用本文: 徐长安, 倪少权, 陈钉均. 基于两阶段算法的运行图与天窗协同优化[J]. 西南交通大学学报, 2020, 55(4): 882-888. doi: 10.3969/j.issn.0258-2724.20180577
XU Chang’an, NI Shaoquan, CHEN Dingjun. Collaborative Optimization for Timetable and Maintenance Window Based on Two-Stage Algorithm[J]. Journal of Southwest Jiaotong University, 2020, 55(4): 882-888. doi: 10.3969/j.issn.0258-2724.20180577
Citation: XU Chang’an, NI Shaoquan, CHEN Dingjun. Collaborative Optimization for Timetable and Maintenance Window Based on Two-Stage Algorithm[J]. Journal of Southwest Jiaotong University, 2020, 55(4): 882-888. doi: 10.3969/j.issn.0258-2724.20180577

基于两阶段算法的运行图与天窗协同优化

doi: 10.3969/j.issn.0258-2724.20180577
基金项目: 国家重点研发计划(2017YFB1200702,2016YFC0802208);国家自然科学基金(61703351);四川省科技创新(苗子工程)培育项目(2017015);四川省科技计划项目(2017ZR0149,2017RZ0007)
详细信息
    作者简介:

    徐长安(1991—),男,博士研究生,研究方向为铁路运输组织优化,E-mail:xu_chang_an@163.com

    通讯作者:

    陈钉均(1982—),男,副教授,博士,研究方向为铁路运输组织优化与系统工程,E-mail:chen-dingjun@163.com

  • 中图分类号: U292.41

Collaborative Optimization for Timetable and Maintenance Window Based on Two-Stage Algorithm

  • 摘要: 列车运行图铺画与天窗设置存在相互影响,相互制约的耦合关系,为了达到优化列车运行图结构,合理配置铁路运力资源的目的,在分析天窗与列车运行动态影响关系的基础上,以天窗设置对列车运行线铺画影响最小为目标,建立了列车运行图与天窗协同优化的混合整数规划模型. 考虑问题复杂性,设计了包含初步优化和综合优化的两阶段求解算法. 初步优化阶段采用基于专家经验的启发式算法得到列车运行图的大体框架,综合优化阶段利用禁忌搜索算法获取全局最优解. 最后以宝成线(阳平关—成都)为例进行有效性验算. 结果表明,相较于人机交互编制所得运行图,优化得出的运行图中所有客货列车在途经车站的总停留时间降低了6.19%,共减少1 355 min,其中旅客列车和货物列车在站停留时间分别降低了3.08%和7.40%,减少总时间分别为189 min和1 166 min.

     

  • 图 1  天窗与列车运行图协同优化示意

    Figure 1.  Collaborative optimization for timetable and maintenance window

    图 2  天窗前后安全间隔

    Figure 2.  Safety interval before and after maintenance window

    图 3  两阶段求解算法流程

    Figure 3.  Flowchart of two-phase algorithm

    图 4  算法收敛

    Figure 4.  Algorithm convergence

    表  1  优化图与实际图在站停留时间对比

    Table  1.   Residence time comparison of optimized and planned timetables min

    方案旅客列车货物列车所有列车
    实际图6 13015 76221 892
    优化图5 94114 59620 537
    下载: 导出CSV
  • 史峰,黎新华,秦进,等. 单线列车运行图铺划的时间循环迭代优化方法[J]. 铁道学报,2005,27(1): 1-5. doi: 10.3321/j.issn:1001-8360.2005.01.001

    SHI Feng, LI Xinhua, QIN Jin, et al. Time-cycle iterative optimization method for single-line train timetable planning[J]. Journal of the China Railway Society, 2005, 27(1): 1-5. doi: 10.3321/j.issn:1001-8360.2005.01.001
    徐长安,倪少权,陈钉均,等. 天窗设置理论与优化技术研究综述[J]. 交通运输工程与信息学报,2017,15(4): 24-31. doi: 10.3969/j.issn.1672-4747.2017.04.004

    XU Changan, NI Shaoquan, CHEN Dingjun, et al. Survey of optimization theory and method of maintenance window arrangement in the train timetable[J]. Journal of Transportation Engineering and Information, 2017, 15(4): 24-31. doi: 10.3969/j.issn.1672-4747.2017.04.004
    FORSGREN M, ARONSSON M, GESTRELIUS S. Maintaining tracks and traffic flow at the same time[J]. Journal of Rail Transport Planning & Management, 2013, 3(3): 111-123.
    ALBRECHT A R, PANTON D M, LEE D H. Rescheduling rail networks with maintenance disruptions using problem space search[J]. Computers and Operations Research, 2013, 40(3): 703-712. doi: 10.1016/j.cor.2010.09.001
    LIDEN T, JOBORN M. An optimization model for integrated planning of railway traffic and network maintenance[J]. Transportation Research Part C:Emerging Technologies, 2017, 74: 327-347. doi: 10.1016/j.trc.2016.11.016
    AKEN S V, BESINOVIC N, GOVERDE R M P. Designing alternative railway timetables under infrastructure maintenance possessions[J]. Transportation Research Part B:Methodological, 2017, 98: 224-238. doi: 10.1016/j.trb.2016.12.019
    赵丽珍,赵映莲,杨岳勤,等. 高速铁路综合维修“天窗”开设形式与行车组织协调问题的研究[J]. 中国铁道科学,2002,23(2): 127-131. doi: 10.3321/j.issn:1001-4632.2002.02.021

    ZHAO Lizhen, ZHAO Yinglian, YANG Yueqin, et al. Study on the coordination of the opening form and the organization of trains in the comprehensive maintenance of high-speed railway[J]. China Railway Science, 2002, 23(2): 127-131. doi: 10.3321/j.issn:1001-4632.2002.02.021
    聂磊,胡必松,付慧伶,等. 客运专线夜间行车与天窗的相互影响分析[J]. 交通运输系统工程与信息,2010,10(5): 66-72. doi: 10.3969/j.issn.1009-6744.2010.05.009

    NIE Lei, HU Bisong, FU Huizhen, et al. Analysis of interaction between night driving and skylight in passenger dedicated line[J]. Journal of Transportation Systems Engineering and Information, 2010, 10(5): 66-72. doi: 10.3969/j.issn.1009-6744.2010.05.009
    杨奎,彭其渊,鲁工圆,等. 高速铁路天窗设置与夜间列车运行协调优化技术[J]. 铁道学报,2015(4): 1-7. doi: 10.3969/j.issn.1001-8360.2015.04.001

    YANG Kui, PENG Qiyuan, LU Gongyuan, et al. Coordination optimization technology of skylight setting and night train operation in high speed railway[J]. Journal of the China Railway Society, 2015(4): 1-7. doi: 10.3969/j.issn.1001-8360.2015.04.001
    张强锋,吕红霞,杨宇翔. 基于三角模糊数的高铁天窗施工实施效果评价[J]. 西南交通大学学报,2018,53(4): 798-805. doi: 10.3969/j.issn.0258-2724.2018.04.018

    ZHANG Qiangfeng, LÜ Hongxia, YANG Yuxiang. Effect evaluation of high-speed railway skylight construction based on triangular fuzzy number[J]. Journal of Southwest Jiaotong University, 2018, 53(4): 798-805. doi: 10.3969/j.issn.0258-2724.2018.04.018
    兰泽康,何世伟,黎浩东,等. 考虑维修天窗和到发线数量的复线铁路列车运行图优化[J]. 北京交通大学学报,2018,42(3): 30-36.

    LAN Zekang, HE Shiwei, LI Haodong, et al. Optimization for double-track railway train timetabling considering the maintenance skylight and the number of arrival-departure tracks[J]. Journal of Beijing Jiaotong University, 2018, 42(3): 30-36.
    倪少权. 中国铁路列车运行图编制系统研究[D]. 成都: 西南交通大学, 2013
    董守清,王进勇,闫海峰. 双线铁路列车运行调整的禁忌搜索算法[J]. 中国铁道科学,2005,26(4): 114-119. doi: 10.3321/j.issn:1001-4632.2005.04.024

    DONG Shouqing, WANG Jinyong, YAN Haifeng. Tabu search algorithm for train operation adjustment of two-line railway[J]. China Railway Science, 2005, 26(4): 114-119. doi: 10.3321/j.issn:1001-4632.2005.04.024
  • 加载中
图(4) / 表(1)
计量
  • 文章访问数:  733
  • HTML全文浏览量:  324
  • PDF下载量:  28
  • 被引次数: 0
出版历程
  • 收稿日期:  2018-07-09
  • 修回日期:  2018-12-14
  • 网络出版日期:  2018-12-19
  • 刊出日期:  2020-08-01

目录

    /

    返回文章
    返回