Research on Dynamic Site Selection of Flexible Transit Considering Passenger Source Competition

Abstract

In order to reduce the travel of taxis and private cars and meet the personalized travel needs of passengers, a site selection method is proposed to avoid the conventional bus service area and compete for taxi customers. Flexible bus site selection includes fixed site selection and dynamic site selection. Firstly, 1000 points in the morning and evening peak periods of Shenzhen taxi track data were selected, and the theoretical fixed stations were obtained by using the clustering algorithm combined with DBSCAN and K-means. The service areas of conventional bus stations were marked to avoid the conventional bus passenger sources, and the location optimization from theoretical stations to actual stations was realized. Secondly, a dynamic site selection model aiming at minimizing the total cost of the system was constructed and solved by genetic algorithm. Finally, it is verified by an example. The results show that this method has good usability in avoiding the regular bus passenger source and competing with the taxi passenger source by taking the taxi data as the demand point and avoiding the service area of the regular station.