Optimization Model for EMU Collaborative Scheduling Problem among Multiple China Railway High-speed Depots

With the development of China railway high-speed, the total operation mile of the network is more than 30 thousand kilometers, and over 3600 high-speed Electric Motor Units are deployed, ranking China the world's largest high-speed rail network. Under the condition of high-speed railway network, it is increasingly urgent to plan the operation and maintenance schemes of EMUs among multiple depots. Dedicated to the optimization problem of EMU's operation and repair plan around network, this paper analyzed the repair resource sharing strategy between depots, took the running data of EMU networked operation mode as input, formulated an integer model which was subjected to the constraints of maximal off-line repair number limit of EMUs, maintenance regulation of Level-1/2, and repair resource sharing rules, and aimed at decreasing maintenance cycle waste mileage as the objective function. The ant colony optimization algorithm was applied to solve the model. Finally, by practical testing, it was validated that the model and algorithms could obtain favorable result of the organization process of EMUs.