Research On Optimization Model Of Urban Rail Transit Train Operation Plan Based On Long And Short Traffic Route Mode

With the development of urban rail transit network,more and more residents choose urban rail transit,and many urban rail transit lines have an uneven distribution of passenger flow.If the traditional single route train operation scheme is adopted,there will be a high full load rate of the trains with large passenger flow,and the interior space of the trains is relatively crowded,while the train usage rate is not high during the period of small passenger flow,and the transportation capacity is wasted.The use of long and short route can effectively reduce the overall waiting time of passengers,improve service quality,and reduce the number of kilometers traveled by vehicles,saving business operating costs.Therefore,this paper is devoted to proposing a model for scientifically and rationally formulating a scheme for long and short route trains.The main research contents of the paper are:(1)Combined with the actual case,the different forms of urban rail transit are introduced in detail,and the advantages and disadvantages of each type of traffic are analyzed rationally,as well as the types of passenger flow that each form of the road adapts to.This paper introduces the urban rail transit train operation plan,and deeply studies the relevant factors affecting the development of train operation plan from three aspects of passenger flow demand,operation organization and driving conditions,and summarizes the current train development plan formulation method for train operation.Provide a basis for the establishment of the program optimization model.(2)Based on the form of long and short route,the number of short route reentry stations,the frequency of trains for long and short route,and the number of long and short route trains are the decision variables,with the mininun waiting time of passengers and the minimum number of kilometers traveled as the objective function.The tracking interval,the minimum train departure frequency,the section passenger flow and the number of trains and vehicles are used as constraints,and an optimization model for the urban rail transit train operation plan is established.Through the linear weighted sum method,the analysis of multiple target problems is transformed into the analysis of single target problems,and the hybrid particle swarm genetic algorithm is designed to solve the model.(3)Taking the urban rail transit line of B city as an example,based on the line passenger flow data,the characteristics of the passenger flow change are comprehensively analyzed,and the optimal train operation plan is obtained by solving the optimization model.The number of vehicles,the maximum section full load rate,the section full load rate balance,and the transportation efficiency and the waiting time of the passengers and the number of kilometers of the vehicle are compared.The comparison between the optimal train operation plan and the single route operation plan is made.Then,the model sensitivity analysis is carried out on the proportion of short route passenger flow,the maximum full load rate of the train,the location of the short route reentry stations,the proportion of the long and short route trains and the number of short route trains.