Research On Optimization Of Train Connection Organization Scheme In Urban Rail Transit Transfer Station

Under the national policy guidance of giving priority to the development of public transport,urban rail transit with its large capacity,fast and convenient,punctual and comfortable characteristics,has become the first choice for developing public transport in large cities.In response to the policy requirements of promoting the construction of rail transit network,optimizing the transfer conditions,and ensuring the safety and reliability of mass travel,economic and applicable urban rail transit system with smooth transfer and connection is constructed based on passenger oriented concept.It is conducive to improve the attractiveness of urban public transport,as well as provide convenient and efficient travel services for passengers.Thus,research on the optimization method of schedule connection in different periods of urban rail transit has guiding significance for improving passenger satisfaction,realizing efficient transfer,and improving the service level and competitiveness of urban rail transit.This paper analyzes the characteristics of urban rail transit transfer connection.It summarizes the difference and relation between the characteristics of transfer demand and operation connection plan in the last shift,low peak period and peak period.The main influencing factors of transfer connection in different periods and the conflict of transfer station connection are analyzed.According to the characteristics of station passenger flow and land use,this paper divides the stations into the first and last stations,transfer stations,commercial stations,office stations,residential stations and tourism stations.Then characteristics of urban rail network passenger flow such as network passenger volume,passenger flow intensity,section flow and line network transfer coefficient are analyzed in single line operation stage,skeleton operation stage,preliminary network operation stage and network operation stage.The summary and analysis on the influencing factors of interchange efficiency is carried out from the aspects of passengers,operation organization and facility configuration.Adopting the complex network and space syntax theory,this paper constructs the importance model of rail transit connection in terms of time and space.The topological importance of stations are analyzed with node degree and intermediary centrality,while the accessibility importance of routes and stations are analyzed according to the improved weighted asymmetry value,public transport accessibility and residential accessibility.Combined with indices such as directional transfer passenger flow in different periods and time weighting by station type,this paper puts forward the line importance and directional transfer station importance model,which lays the foundation for transfer connection optimization and time division.Based on the stated preference survey of transfer route choice,this paper takes transfer times and travel time into consideration and establishes the generalized cost utility function with logit discrete choice model.After assigning the rail transit passenger flow OD,the section data extraction process is proposed to form the section time matrix.According to the passenger flow characteristics,the low peak period,normal peak period and last shift period of holidays,working days and non holiday weekends are divided respectively.This paper then selects the line periods to divide the benchmark transfer stations in accordance with the topological importance of transfer stations,and determines the corresponding time periods of different transfer stations on the same line on the basis of the operation time between train stations.Considering the operation cost of enterprises,the passenger-oriented multi-objective optimization model with time division is constructed with the objective of minimizing traction energy consumption and transfer passenger travel energy consumption in urban rail transit system,so as to maximize the service level and passenger satisfaction.This paper adopts two methods to solve the problem.One is to convert the waiting energy consumption of transfer passengers and train traction energy consumption into cost and form a single objective function,which is solved by the optimized genetic annealing algorithm to obtain the optimal solution set.The other is to use NSGA-II algorithm to solve the double objective function and form Pareto solution set.As for the optimal solution set of time division for transfer connection organization optimization,this paper evaluates the transfer coordination of urban rail transit from the perspectives of operation coordination and passenger coordination,while comprehensively considering the characteristics of passenger flow and schedule setting in the last and non last shift periods.The schedule connection scheme for non peak hours is generated.To find the optimal scheme,the CCR model with invariable scale benefit of DEA model is used to judge the coordination efficiency of all DMUs.Based on the variable benefit model BCC model of DEA model,the scale efficiency is evaluated to decide the optimization direction.Finally,taking working day as an example,this paper determines three excellent coordination schemes in the optimal solution set.