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Simulation Analysis And Methods Of Train Regulation For Fully Automatic Operation

Posted on:2021-05-10Degree:MasterType:Thesis
Country:ChinaCandidate:X Y JiFull Text:PDF
GTID:2392330614972403Subject:Control engineering
Abstract/Summary:PDF Full Text Request
In recent years,China's urban rail transit is in a period of rapid development,and passenger flow continues to rise.Urban rail transit has been playing a backbone role in the urban public transportation system,and the passenger flow is characterized currently by "large base,multiple changes,and significant peak-to-peak differences".Automatic train regulation is an important method to achieve on-time operation and ensure the quality of operational services by reducing train delays.At the same time,Fully Automatic Operation(FAO),as one of the trends of rail transit control system,provides important technical conditions for flexibly adjusting operation strategies according to passenger demands.Yanfang Line,Beijing Metro is the first line in China that uses autonomous FAO technology.However,Yanfang Line remains the traditional train regulation method currently.The effect of the train operation regulation method considering passenger flow has not been verified.In this thesis,we mainly investigate and simulate the train regulation methods of FAO system,which is on the basis of the urban rail transit train operation regulation problem.The main contributions of the thesis are as follows:(1)This thesis analyzes the traffic flow characteristics of FAO line.First of all,based on collating the architecture and functions of FAO system,this thesis analyzes the train operation regulation mechanism of FAO system and clarifies the relevant information flow involved in the operation regulation.Secondly,this thesis analyzes the distribution characteristics of urban rail transit passenger flow,and designs typical passenger flow simulation scenarios such as single peak,double peak,and sudden peak,and then on the basis of Cellular Automata(CA),this thesis establishes a CA-based train-following model considering large passenger flow,and the feasibility of the model is verified by simulation examples.Subsequently,based on the Max-Plus Algebra method and the basic graph method of traffic flow,the traffic flow characteristics of FAO line are analyzed,and a traffic flow model considering passenger demands is further realized.(2)Based on the traffic flow model considering passenger demand,a train operation regulation method based on convex optimization is designed.Taking the variance of the practical and scheduled headway of each station as the objective function,this convex optimization-based regulation method provides real-time operation regulation for each train leaving the station.Subsequently,based on the operation regulation mechanism of FAO,the traditional operation regulation method is designed,as well as an operation regulation method based on dynamic programming.Based on the practical operation data of Yanfang Line,the feasibilities of the convex optimization-based regulation method,the traditional operation regulation method and the dynamic programming regulation method are verified.Furthermore,the regulation performances are compared and analyzed based on the operation performance indices,which evaluate the operation regularity,efficiency and reliability.The results show that the performance of each regulation method is related to the passenger flow scenario.The operation regulation method of traditional urban rail lines is more suitable for the single peak passenger flow scenario,while the convex optimization regulation method performs relatively better for the double peak and sudden peak passenger flow scenarios.(3)In order to visually check the delay of train operation and analyze the performance of train operation regulation,Train Operation Adjustment Analysis Software is developed in this thesis.By importing the actual operation data into the software,the train operation can be simulated based on the passenger flow scenarios specified by the user.Meanwhile,the software can present the performance index values of the convex optimization-based regulation method,the traditional operation regulation method and the dynamic programming-based regulation method,and can provide users with a basis for comparing and measuring the regulation methods.The user can check the adjusted train operation after selecting the regulation method.
Keywords/Search Tags:Urban rail transit, Fully Automatic Operation, traffic flow analysis for urban rail transit, train operation regulation for passenger demand
PDF Full Text Request
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