货车车辆段调车模型与求解  

Model and Solution for Car Depot Shunting

作　　者：邱建东 任伟 祁育栋 张飞 QIU Jiandong;REN Wei;QI Yudong;ZHANG Fei(School of Mechanical Engineering,Lanzhou Jiaotong University,Lanzhou 730070,Gansu,China)

机构地区：[1]兰州交通大学机电工程学院,甘肃兰州730070

出　　处：《铁道运输与经济》2021年第11期89-94,99,共7页Railway Transport and Economy

基　　金：国家自然科学基金项目(61663021);甘肃省自然科学基金项目(1610RJZA048)。

摘　　要：货车车辆段的调车作业频繁且复杂,对调车作业构建合理的模型并进行优化是提高调车作业效率的关键。在分析货车车辆段检修流程及线区布局的基础上,考虑货车检修顺序,并以车辆线路占用时间及车辆转线时间的和最小为目标构建模型,运用改进的遗传算法对模型求解。最后以兰州西车辆段为背景,验证了模型和算法的有效性。验证分析表明,研究提出的算法适应度函数在某具体点之后达到相对稳定状态并获得优质解,能在较短时间内得到优化的调车作业计划,并提高其编制质量。The shunting operation of car depots is frequent and complex,and thus how to build a reasonable model and optimize the shunting operation is the key to elevating the efficiency of shunting operation.First,this paper analyzed the maintenance process and the layout of car depots to arrange the maintenance sequence.Then,a model was built with the objective of the minimum total time of line occupation and vehicle switching,and an improved genetic algorithm was used to solve the model.Finally,the effectiveness of the model and the algorithm was verified through Lanzhou West car depot.The verification analysis shows that the fitness function of the proposed algorithm in this paper can reach a relatively stable state after a specific point and obtain a high-quality solution.Therefore,it can acquire the optimized shunting operation plan in a short time and improve its preparation quality.

关 键 词：货车车辆段 调车作业 检修顺序 优化模型 改进遗传算法 

分 类 号：U279.2[机械工程—车辆工程]