Study On The Optimization And Release Of The Last Train Connection Of Urban Rail Transit Network By Passenger-driven

With the continuous development of the scale of urban rail transit networks,rail transit has begun to enter the networked operation stage in many cities.Due to the inability of urban rail transit to operate around the clock,passengers may not transfer to the last train at the transfer station and are forced to choose other modes of transportation to complete the trip.In order to,improve the management level of dynamic accessibility of rail transit network.At the planning level,a potential passenger flow allocation model of the last train based on multi-source public transport data fusion is constructed.On this basis,the optimization method of the last train schedule of the network is studied according to the travel needs of passengers.At the level of publishing,in view of the current situation that the information of the last train is not smooth,based on the existing network train schedule,considering the connection between passengers' travel and transfer,the network last train accessibility release system is developed to provide passengers with a scientific and effective travel path plan.The specific research work mainly includes:(1)The theory of the reachability of urban rail transit last train is summarized and analyzed,It mainly includes the concept of the reachability of the last bus of the urban rail transit network,the influencing factors and the accessibility analysis of the last bus based on the train operation map.It also expounds the method of passenger flow induced release of the last bus,points out the defects of the current system,and clarifies the direction for the information release system.(2)A prediction and allocation model of the last train passenger flow of urban rail transit is established based on multi-source public transport data fusion.On the basis of analyzing the composition of public transport data,the obtained original data are processed.Introduce the concept of space-time geography and dig deeper into the correlation between public transportation data.Using the data to analyze the characteristics of the last train passenger flow,Establishing the analysis and allocation model of the last train passenger flow demand based on public transportation data fusion.(3)Build the last train transfer convergence optimization model.On the basis of the analysis of the transfer problem of the last bus time,considering the passenger's travel demand,the maximum possible satisfaction of passenger transfer demand is targeted,and the train operation plan is used as a constraint to solve the problem.(4)At the level of publishing,the dynamic accessibility calculation and query system of the last train is developed,and the system is developed through the design of the connection algorithm of the last bus accessibility.With the background of Shenzhen rail transit,the overall architecture of the system is designed,and detailed functions are implemented using c# and JavaScript language.The main innovations are:(1)The concept of potential passenger flow for the last train of urban rail transit is put forward,and the passenger flow demand analysis and prediction model of the last train time period are established by mining rail transit data,taxi data and bus data.(2)Based on the demand of passengers outflows during the last bus,and under the constraint of the train operation plan,the optimization model of the last bus schedule was established with the goal of maximizing the last passenger time of the shuttle bus.(3)The dynamic reachable system of the last train of urban rail transit is developed by using the connecting algorithm of the last bus reachable of the network.The research results in this paper can provide a new theoretical method for the passenger flow forecast analysis of the last bus time.The development of information dissemination system with Shenzhen as the background has practical value and good application prospects.