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A Y-type urban rail transit is composed of a trunk and a branch, and the passenger demand has the characteristics of multidirectional and unbalanced. It is important to design routing planning of Y-type urban rail transit and provide reasonable service for passengers with acceptable operational cost. In this study, a routing planning design model was proposed for Y-type urban rail transit aimed at minimizing the passenger travel time and train operating distance. The decision variables of the model were the locations of turn-backs and the departure frequencies of the train routings in the multi-routing planning. The constraints of passenger demand and line condition were considered. The multi-objective model was turned into a single-objective model by giving weight values to the objectives. Then a genetic algorithm was applied to obtain optimal solutions of the proposed model. Finally, a case study was conducted, and the optimal solutions under different forms of multi-routing planning with different weight values were analyzed. The results showed that when the weight of the passenger travel time increased to a certain level, the optimal solution changed from a two-routing planning to a three-routing planning, and the latter one could better meet the characteristics of the passenger

Multi-routing planning design of Y-type urban rail transit