The rapid development of urban rail transit has greatly improved the convenience and accessibility of people's travel, but it also brings some new challenges. Passenger flow analysis is an important link in the construction of urban rail transit, and it is also the basis of various design work. The accuracy of the analysis is directly related to the construction investment, operation efficiency and economic benefits of urban rail transit. Based on the analysis of the passenger flow of urban rail transit in the suburbs, this paper expounds the passenger flow characteristics of urban rail transit in various situations.
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.
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