Study on the Train Plan of the Cross-line Operation in the Urban Rail Transit Considering the Multi-composition Train.

The cross-line operation can promote urban rail transit network operation and realize resource sharing. In this regard, the operation mode of running cross-line trains with different compositions on two rail transit lines is proposed. And based on the analysis of passenger travel behavior, the passenger flow allocation model of cross-line operation is proposed. Considering constraints such as the passing capacity of transfer stations and the full load rate of trains, a multi-objective planning model is established with the operating frequencies of different types of trains and the location of the turnaround station as decision variables. The optimization objective is to minimize passenger travel cost and operating costs. Based on the proposed model, an improved quantum genetic algorithm(IQGA) is designed to solve the model, and the Pareto solution of the train plan is solved. Finally, the rationality of the model and algorithm is verified through a case study. The analysis shows that the operation of cross-line trains can make 44.5% of the cross-line passenger flows reach the destination station directly without transferring. And the cross-line routing shares the passenger flows in a balanced way so that the full load rates of each routing are balanced and the passengers travel more comfortably. The average passenger travel cost gradually increases with the increase of the transfer time perception factor. In addition， the setting of the vehicle capacity has a significant influence on the train plan. When making the train plan, the vehicle capacity should be set scientifically and reasonably. [ABSTRACT FROM AUTHOR]