Optimisation Studies Of Demand Response Transit Subway Connections Microcirculation Routes

With economic development and urban expansion,the level of demanding for public transportation in low-density areas such as new urban areas,fringe areas or areas on the edge of new areas is low;in addition,the development of the Internet has promoted the shift of people’s travel demand to diversified and personalized ways.Therefore,Demand-Responsive Connector and subway connection to open up the "last mile" connection microcirculation,which can make up for the service blind spots of subways and conventional buses,improve the level of bus service,expand the service area of subway stations,and promote the further development of the urban bus network perfect.Based on this,the thesis focuses on the "last mile" bus connection problem in subway stations,and deeply studies the model and method of the microcirculation line optimization of the Demand-Responsive Connector subway connection,and improves the system to optimize the residents’ travel environment.Firstly,the thesis analyzes the current situation of the optimization research on Demand-Responsive Connector microcirculation routes at home and abroad from the theoretical analysis level,defines the concept of Demand-Responsive Connector and subway connection microcirculation system.Explaining the design and adjustment method of Demand-Responsive Connector’s microcirculation routes.The thesis analyzes the coordination theory of public transportation and rail transportation,and discusses the operation organization process and operating rules of the new public transportation reservation system,and conducts a survey and analysis of passengers’ willingness to travel in the studied area.Secondly,through an in-depth analysis of the current operation mode and existing problems of the bus connection,the design ideas and methods of the temporary parking lot for the microcirculation system of the Demand-Responsive Connector and subway connection are put forward as a foreshadowing of the route optimization research.The thesis mainly combines K-Means clustering ideas to determine the optimal number of passenger demand classifications,and the location of clustering center coordinates based on the actual passenger demand location coordinates,and further determines the bus temporary yards required for connection services based on the alternative bus temporary yards.Part of Chenggong University Town in Chenggong District,Yunnan Province is selected for research,and passenger demand calculation examples are designed to verify the effectiveness of the method.The results show that this method can preliminarily determine the nearest temporary bus depots that depart or stop nearby,and reasonably allocate the connection order tasks of each temporary depot to ensure a clear division of tasks for each depot.Thirdly,according to the passenger transportation characteristics and connection modes of subway stations,the paper determines a microcirculation demand response connection mode suitable for subway stations.According to the static and dynamic characteristics of passenger demand,a two-stage route optimization model is supposed,and the solution is solved using ant colony algorithm.Finally,based on an example of a confirmed temporary bus yard,and based on the established route optimization model and related solving algorithms,the dynamic connection route planned for the studied area and the designed passenger demand orders verifies the effectiveness of the model and algorithm.