Tidal passenger flow phenomenon often occurs in urban rail transit lines due to the commuting characteristics of passengers. For the line connecting the urban central area and the suburbs, there will be a serious imbalance of passenger flow between two trains running in opposite directions at both ends of the line. In this regard, this paper adopts a periodic cross-line operation strategy involving two train operating modes to increase the transport capacity on the side of excess demand. Considering the two factors of the total waiting time of passengers and the mutual influence of different operation modes, a dual-objective optimization model was established to determine the train operation scheme. In view of the fact that the established optimization model belongs to the dynamic multi-objective optimization problem, the NSGA2 algorithm is adopted to solve the model. Through numerical simulation experiments, the optimization model is validated, and the effectiveness of the proposed optimization scheme and algorithm is proved. This provides a powerful reference for the future use of cross-line operation strategy to solve the problem of uneven distribution of transport capacity caused by tidal passenger flow.

CICTP