交通运输系统工程与信息 ›› 2016, Vol. 16 ›› Issue (6): 122-127.

• 系统工程理论与方法 • 上一篇    下一篇

动车所调车作业计划优化模型及求解算法

王家喜1,林柏梁*1,王忠凯2,李建1   

  1. 1. 北京交通大学交通运输学院,北京100044;2. 中国铁道科学研究院电子计算技术研究所,北京100081
  • 收稿日期:2016-04-07 修回日期:2016-07-05 出版日期:2016-12-25 发布日期:2016-12-26
  • 作者简介:王家喜(1990-),男,安徽休宁人,博士生.
  • 基金资助:

    国家自然科学基金/National Natural Science Foundation of China(51378056);中国铁路总公司科技研究开发计划项目/Science and Technology Department of China Railway Corporation(2015J006-B).

Optimization Model and Solution Algorithm for the Shunting Schedule of Electrical Multiple Units Depot

WANG Jia-xi1, LIN Bo-liang1,WANG Zhong-kai2, LI Jian1   

  1. 1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China; 2. Institute of Computer Technologies, China Academy of Railway Sciences, Beijing 100081, China
  • Received:2016-04-07 Revised:2016-07-05 Online:2016-12-25 Published:2016-12-26

摘要:

动车所调车作业计划编制复杂,如何实现计算机自动编制及优化是亟待解决的难题.本文在分析动车组一级修典型作业流程特点的基础上,将动车所调车作业计划优化问题构建为整数规划模型.模型的目标是最小化调车总钩数,约束条件则考虑了股道占用冲突、进路(包括调车进路和接发车进路)冲突及工序作业时间标准等.然后,本文设计了粒子群优化算法对问题进行求解.最后以上海南动车所为案例背景验证了模型和算法的有效性.计算结果表明,利用本文提出的方法能在较短时间内获得优化的调车作业计划,在提高计划编制效率的同时改进了计划编制质量.

关键词: 铁路运输, 调车作业计划, 粒子群优化算法, 动车所, 整数规划, 一级修

Abstract:

It’s an urgent problem to develop and optimize the shunting schedule of electrical multiple units (EMU) depot through automatic computation since the schedule making process is extremely intractable. Based on the analysis of typical procedures of EMU first-level maintenance, this paper formulates the depot shunting schedule optimization problem as an integer programming model. The objective of the model is to minimize the total number of shunting movements and the constraints include track occupation conflicts, route (including shunting route, receiving route and departure route) conflicts and time duration of each maintenance process, etc. Then a PSO- based optimization algorithm is presented to solve the problem. Finally, a case study from Shanghai South EMU Depot is carried out to illustrate the validity of the proposed model and algorithm. The computational results show that an optimal shunting schedule can be obtained within a short solution time using our method. Moreover, both the making efficiency of dispatchers and the quality of schedules are improved.

Key words: railway transportation, shunting schedule, PSO algorithm, electrical multiple units depot, integer programming, first-level maintenance

中图分类号: