可变编组动车组运维一体化帕累托前沿分析

动车组运用和检修是铁路运输生产的重要过程，占据很大的成本比例. 为与客流需求相匹配，在未来实现跨线动车组列车在某些枢纽站组合和分解存在可能，充分考虑组合动车组类型一致性，动车组在不同运行线进行重联与分解的接续条件，动车组进行一二级修的里程和时间标准等，以动车组的正常接续和空走接续时间里程费用、一二级维修作业费用、动车组运用费用和动车组接续时间费用之和最小及动车组空走费用占比最小为双目标，构建基于可变编组条件下的动车组运用和维修一体化模型方法.应用改进的非支配排序遗传算法求解，将目标值进行帕累托前沿分析，发现两者很难同时达到最优.模型的计算结果体现了动车组担当长编组运行线任务前后的组合和分解过程，同时也进一步分析了在动车组类型归一化或者动车组维修地点不受限情况下动车组运用数量的变化，反应了相关运行参数对结论的影响.

Integrated Model Method for Multiple-unit EMU Operation and Maintenance Based on Pareto Frontier Analysis

The utilization and maintenance of EMUs is an important process in railway transportation production, accounting for a large proportion of costs. In order to match the passenger flow demand, it is possible to realize the combination and decomposition of the EMU trains in some hub stations in the future. Under this assumption, we fully consider the consistency of combined motor trains, the connection conditions for reconnection and decomposition in different operation lines, primary and secondary maintenance costs. Based on the double target, the minimum sum of the EMU connection time costs and vehicle return empty costs, we construct an integrated model method for the EMUs' application and maintenance based on variable grouping conditions. The improved non- dominated sorting genetic algorithm is used to solve the problem and analyzed by Pareto frontier and we found that it is difficult to achieve optimality at the same time. The calculation results of the model reflect the combination and decomposition process of the EMU. At the same time, it also further analyzed the changes in the number of EMUs used in the case of normalization of the EMU type or the unrestricted maintenance position of the EMU, reflecting the impact of relevant operating parameters on the conclusion.