摘要
对于高速铁路列车停站方案的优化问题,在满足各个车站客流需求的条件下,在开行列车数量一定时,以完成当日运行任务所需动车组数量最少和旅客旅行时间最短为目标,构建列车停站方案设计的混合规划模型,并采用设计的人工蜂群算法求解。基于哈大高铁的相关数据设计列车停站方案,并对其进行优化。相比于初始解,优化后的列车停站次数减少10.9%,越行时间增加1 h,动车组数量减少30.4%,实例证明,所建模型和设计的求解算法对优化停站方案和减少动车组数量均是有效、正确的。提出的新的考虑动车组数量的高速列车停站方案设计优化方法,可为铁路运营决策者编制高速列车开行方案提供有价值的决策支持。
A mixed integer programming model was constructed.Taking the minimum number of the EMUs and the minimum passenger travel time as the optimization goals,with the number of the trains settled,considering the requirement of the passengers at all of the stations,the train stop plan design problem was solved.The designed artificial bee colony algorithm was applied to solve the model.The train stop plan was generated based on the data of Haerbin-Dalian high-speed railway and optimized.Compared with the initial solution,the number of stops was reduced by 10.9%.The crossing time is increased by one hour.The number of EMUs is reduced by 30.4%according to the solution plan.It proves that the constructed model and the designed algorithm are effective and correct for the optimization of the stop plan and the number of EMUs.This paper provides a novel approach to design and optimize the high-speed train stop plan in view of the number of the EMUs,to provide decision support for the railway operation decision makers in the design work of the high-speed railway service plan.
作者
秦永胜
孟学雷
沈发才
张丰婷
刘仁华
QIN Yongsheng;MENG Xuelei;SHEN Facai;ZHANG Fengting;LIU Renhua(School of Traffic and Transportation,Lanzhou Jiaotong University,Lanzhou 730070,China)
出处
《铁道科学与工程学报》
CAS
CSCD
北大核心
2021年第9期2271-2279,共9页
Journal of Railway Science and Engineering
基金
国家自然科学基金资助项目(71861022)
兰州交通大学优秀百人计划项目(1520220210)
甘肃省教育厅“双一流”科研重点项目(GSSYLXM-04)
甘肃省教育厅优秀研究生“创新之星”项目(2021CXZX-61)。
关键词
高速铁路
停站方案
动车组运用
人工蜂群算法
high-speed railway
stop plan
EMU utilization
artificial bee colony algorithm