Research On Customized Bus Network Planning Based On Commuting Characteristics

In recent years,the process of urbanization has intensified the spatial layout of separation of work and residence,resulting in tidal traffic in the morning and evening peaks,which has brought severe challenges to urban public transportation services.Customized public transportation is a shared transportation mode that can meetthe high-quality travel,and can effectively attract commuters in cars and taxis.Therefore,based on the temporal and spatial distribution characteristics of passenger travel demand,research on the site selection and route planning of customized bus sharing stations has become an effective method to solve the current plight of customized bus operation,and has attracted more and more scholars’ attention.First of all,based on the analysis of the research status at home and abroad,this paper makes clear the development advantages and functional positioning of customized bus.By analyzing the travel characteristics of the commuter,the significance of the station and route layout for the development of customized bus is determined.Secondly,based on the taxi GPS track data,passengers’ boarding and unloading stations are extracted and OD matching is carried out on the basis of data preprocessing.According to the travel information of taxi passengers,the spatiotemporal distribution characteristics of commuter flow are analyzed,and the potential customized bus passenger flow is extracted.Then,fully compare and select the site selection method of carpool bus stations,and select DBSCAN clustering algorithm based on the characteristics of customized buses and the applicability of the algorithm.The DBSCAN clustering algorithm can not output the clustering center and the parameters can not be improved adaptively,so as to determine the site selection of the ride site.Thirdly,on the basis of the site selection of bus sharing stations,considering the travel benefits of passengers,the operating benefits of bus companies and the environmental benefits from the actual situation as optimization objectives,and taking the routes,vehicles and stations as constraints,a customized bus route optimization model for multi-vehicle types was established,and the maximum and minimum ant colony algorithm was designed to solve the problem.Finally,this paper selects the Beilin District and Weiyang District of Xi ’an for example analysis to verify the effectiveness of the above model.The results show that this method can increase the operating income of bus companies and reduce the impact on the environment on the premise of guaranteeing the travel benefit of passengers,which provides a good reference for the optimization research of customized bus network.