Study On Optimization Of Train Routing Planning Of Urban Rail Transit Based On Interoperability

Intercommunication is an important trend in the network operation of urban rail transit.The interconnection pattern is more flexible organization scheme,strong cooperative ability between line network,improvement of passenger service level.How to promote the implementation of the new mode of interconnection and interoperability has become the focus of current policy-makers and operators.Urban rail transit train routing plan is an important means to solve the allocation of capacity resources,which will directly affect the subsequent transport organization and indirectly determine the actual operation effect of the whole urban rail transit system.In this paper,the optimization of urban rail transit routing planning under interconnected conditions is studied.Firstly,through the analysis of cross-line routing,passenger route choice behavior and influencing factors of routing plan,the principles and steps of train routing plan compilation are summarized.Secondly,establish optimization model of train routing plan under the condition of interconnection and the algorithm is designed.Finally,the Chongqing subway is taken as an example to verify.The main contents are as follows:(1)This paper expounds advantages and disadvantages,the basic types and the setting conditions of cross-line routing.The behavior characteristics of passenger travel route selection are analyzed in detail and a travel route choice model based on the general trip efficiency of passengers is established in which the effective path search algorithm is based on the depth search priority and the branch and bound idea and the path allocation is carried out by the improved logit model.Then this paper summarizes the influence factors of the train routing plan and the principles and steps to compile,and puts forward the principles and steps for candiate-route-set.It provides a theoretical basis for the establishment of optimal model of urban rail transit train routing plan under interconnected conditions.(2)Considering the behavior characteristics of passengers' travel path choice under the condition of interoperability,this paper takes the minimum generalized travel cost of passengers and the lowest operation cost of enterprises as the goal,and takes the constraints of passenger travel demand,departure interval,section capacity,full load rate,number of routes passenger service level and operation complexity as constraint conditions,and builds the optimization model of urban rail transit routing under the condition of interconnection.According to the characteristics of the model,an improved genetic algorithm is designed,which combines the simulated annealing algorithm with the standard genetic algorithm to avoid the defects of premature convergence.(3)The urban rail transit fast lines in Chongqing City taken as a case is studied in this paper.On the basis of the analysis of the characteristics of the passenger flow and the equipment and facilities conditions of the early peak hours,the validity of the optimization model and the solution algorithm proposed in this paper are verified.The effects of different number of routes and the different weight coefficients on the results are also discussed.(4)Case study shows:?the reasonable setting of cross-line routing can greatly reduce transfer time and improve service level.At the same time,it can effectively reduce the number of vehicles and train running kilometers,and reduce the operation cost of enterprises.?The cross-line routing can transform part of passengers from single-point transfer to multi-point transfer,providing a variety of choices,meanwhile,easing congestion at transfer stations and improving transfer efficiency.?When the train routing plan is biased towards enterprises,it is suggested that reasonable cross-line routing can effectively reduce train running frequency and the operating cost of enterprises.