Research on coordination and optimization of rail transit and feeder bus operation in suburban section

Unreasonable feeder bus schedules will cause long waiting times for passengers, high operating costs for operators, waste of social resources and other adverse consequences. In order to solve this problem, this paper takes the minimization of passenger travel cost and feeder bus operation cost as the objective, and considers the departure time constraint to establish the coordination optimization model of rail transit and feeder bus operation. At the same time, considering the characteristics of suburban passenger flow, genetic algorithm is used to solve the problem, and then it is further adjusted according to the situation of passenger flow. Finally, taking a feeder bus line in Fuzhou as an example, the departure schedules of feeder buses in different periods are obtained. The results of the case study show that the coordination optimization model is feasible, which has a certain reference value for realizing the coordination scheduling between rail transit and feeder bus.