Urban Rail Transit Network Dynamic Passenger Flow Calculation Method And Empirical Study

With the continuous development of urban rail transit construction in China,the network scale in many cities has continued to expand,and its operation management has entered a networked age.At the same time,the demand for urban rail transit has also risen sharply.Due to the imbalance between passenger demand and road network supply,crowding of passengers during peak hours is frequent,while road network capacity during low peak hours is wasted,reducing the service level and operational efficiency of urban rail transit.Grasping the trend and dynamic distribution characteristics of passenger flow in network will help urban rail transit operators to formulate train operation plans,conduct reasonable energy allocation and operation cost control,and help improve passenger service levels and enhance attraction of the public transportation.Therefore,accurate and efficient calculation of the spatial and temporal distribution of passenger flow in networks is extremely important for the operation and management of urban rail transit under network conditions.The main research work of this paper includes the following aspects:(1)Analyze the AFC data,schedule data and network data required for passenger flow calculation in urban rail transit network,propose the possible problems of the original data and the corresponding pre-processing rules,And further statistics of AFC data to obtain OD demand in different time periods,laying the foundation for passenger flow calculation.(2)Construct the urban rail transit network model,and the urban rail transit spatiotemporal network model is constructed according to the timetable and time-division OD,and the effective path is defined based on the spatio-temporal network.Simplify the structure of rail transit network in order to improve path search efficiency,and the shortest path search algorithm and the effective path search algorithm for urban rail transit are proposed based on the simplified network.Based on this,the space-time path search algorithm is proposed and analyzed and verified in the example.(3)A method for calculating dynamic passenger flow of urban rail transit network based on train schedule.Firstly,the generalized cost of spatio-temporal path is analyzed according to the composition of the spatio-temporal path.,and the Logit model is used to calculate the probability of selection of spatio-temporal path.On this basis,we propose the urban rail transit network passenger flow calculation method and process based on train schedule.Taking Beijing subway network as the research object,the algorithm is empirically analyzed.and verification of the feasibility and effectiveness of the method.(4)Consider the complexity of the rail transit system,a simulation method based on simulation of urban rail transit network passenger flow is proposed.Firstly,we introduce the applicability of the simulation method to the passenger flow calculation of urban rail transit network,and expound the main body construction,subject interaction and deduction process in simulation method.Secondly,aiming at improving the efficiency of passenger flow calculation,we the simulation deduction process is improved,and the calculation process and algorithm are proposed.Finally,an empirical analysis of Beijing urban rail transit network is carried out to verify the feasibility and effectiveness of the algorithm.