Research On Dynamic Passenger-demand-oriented Collaborative Train Timetabling For Urban Rail Transit Network

Urban rail transit has developed rapidly due to its large volume,speed,safety and energy saving,and has become an important urban transportation mode.With the continuous development of urban rail transit networks,many cities plan to build urban rail transit networks,and gradually enter the networked operation mode from the single-line operation mode.In the urban rail transit system under networked operation conditions,different lines interconnect through transfer stations,thereby satisfying passenger travel demand.At the same time,compared with single-track rail transit,networked urban rail transit enriches passenger travel options.This not only leads to an increase in the difficulty of analyzing the characteristics of urban rail transit passenger flow,but also greatly increases the complexity of the urban rail transit system operation planning.Based on the smart card entry and exit records of urban rail transit passengers,this paper analyzes the characteristics of network passenger flow in depth,and then develops the urban rail transit train operation plan based on demand.The research content includes the following aspects:(1)Based on the urban rail transit ’network topology and train timetables,this paper constructs the urban rail transit space-time service network,and introduces the concept of sequency to describe the passengers’ left-behinds,and then proposes the definition and connotation of space-time-sequency service network.This paper deeply analyzes all the passengers’ travel behaviors and their time distribution functions in the urban rail transit system,and passenger’s space-time-sequency trajectory model is contructed based on passengers’ entry and exit information recorded by Automatic Fare Collection System(AFC system),and then transforms the passenger travel route selection problem to the network nodes search problem.By designing an iterative optimization algorithm,passengers’ mostly likely space-time-sequency trajectories are estimated with given entry and exit information.In order to avoid the large time error caused by the station time parameters and number of left-behinds during peak hours,a maximum likelihood estimation model is proposed to estimate parameters.This study analyzes the temporal and spatial distribution characteristics of network passenger flow from the micro level,and provides research basis for subsequent research contents(2),(3)and(4).(2)Based on the time-varying passenger flow demand recorded by the AFC System and transfer passenger demand obtained by content(1),this paper analyzes the relationship between station step-in passenger flow and the passenger flow in the line section,and proposes the concept of cumulative passenger flow demand of section and cumulative traffic flow of section.The paper converts the purpose of urban rail transit system service station passenger flow to meet the passenger demand of subway sections.The binary variable model of trains’ arrival events at stations is present,with the minimum waiting time of passenger station as the optimization target,the train driving time standard and train vehicle capacity as constraints,and the train timetabling optimization model for urban rail transit based on dynamic passenger demand is developed.This paper studies the teachnology of demand-oriented train operation planning based on passenger flow data analysed in part(1)and provide research basis for the research content(3)coordination between the mid-line coordination.(3)Taking transfer stations as the research object,this paper builds the transfer station and transfer direction weight system based on historical transfer passenger flow data to determine the key transfer station and key transfer direction.This paper takes the single-line train operation plan as the basis,and analyzes the interchange connection relationships between different lines passing through the same transfer station,thus giving the binary model to describle effective interchange connections and the calculation method of transfer waiting time.Based on the minimum waiting time for the transfer of passengers in the road network layer,this paper constructs the Mix-Integer Linear Programming(MILP)model of the urban rail transit network train operation plan based on transfer coordination.The content of this study is to coordinate the optimization of the train operation plan of the urban rail transit network considering inter-line coordination and to provide a research basis for the station current limiting scheme in consideration of the matching relationship between supply and demand of passenger flow in the research content(4).(4)Based on train operation plan and dynamic passenger demand,this paper analyzes the relationship between supply and demand of urban rail transit line section and passenger flow demand by using the passenger flow mapping relationship between station passenger flow and urban rail transit line.In order to eliminate left-behind phenomenon during peak hours and minimize passengers’ waiting time both inside and outside of stations,the paper aims to present a model for station passenger flow control scheme based on the train vehicle passenger capacity and the minimum inbound passenger flow of the station.The content of this study provides an effective solution method for the station passenger flow control scheme under the condition of urban rail transit capacity.From the urban rail transit production,this research can effectively adjust the spatial and temporal distribution of network passenger flow in the research content(1),and combine with the research content(2),(3)to make urban rail transit production safer and more efficient.