The Method of Customized Bus Route Optimization for Passenger Flow Distribution Area

In this paper, based on the commuting information of residents, the route optimization of the customized bus is divided into boarding and disembarkation distribution areas. This paper takes the minimum cost of the customized buses as the target to establish a route optimization model for the get-on area and designs an evaluation heuristic algorithm to solve the model. To minimize the driving time cost of the vehicle and the walking time cost of the crowd group, this paper establishes a running route optimization model of single vehicle for the get-off area and uses the genetic algorithm to find the optimal stations. Finally, the number of vehicles running in the distribution areas, the running stations of each vehicle, and the time when the vehicles arrive at each station are respectively obtained by analyzing the examples so customized morning and evening bus schedules can be established.