铁路枢纽双编组站静态配流协同优化研究OA

Collaborative flow allocation across marshalling stations in the hub helps optimize the wagon flow connection and improve the overall quality of flow allocation.The idea of collaborative flow allocation across marshalling stations was introduced.This paper built a collaborative programming model for static wagon-flow combined allocation of double marshalling stations in the hub,aiming to minimize the total cost of the double marshalling stations and maximize the total number of full-axle trains in the double marshalling stations.This model considered the constraints of wagon flow volume,time of trains'arrival,breaking-up,marshalling,departure,and the junction terminal transfer trains'running time.The constraints of the loading limit of departure trains and the use of shunting locomotives were also involved in the model.The paper took train rank,number of directions,and departure time ranking as the cost of wagon flow allocation.The ideal point algorithm was designed to solve the problem,which transformed multiple objects into a single object.Finally,the validity of the model and algorithm was verified by an example.The results show that the wagon-flow combined allocation of double marshalling stations can increase the total number of full-axle trains by 1,reduce the total number of cars stored in the station by 13,and reduce the total cost of allocation by 5.4%compared with the separate allocation of two marshalling stations,achieving a better allocation effect.