| Urban rail transit generally provides transportation service for passengers who move to and fro between downtowns and suburbs.The travel distance of such passengers is usually long and the passenger flow is uneven distributed.Although the common operational plans of trains stopping at each station can meet the passengers’travel demand,it may cause much running time and low vehicle utilization.Especially with the current implement of metropolitan planning at home and abroad,building the"One-Hour Commuting Circle" has become the development goals of the major cities.The train of stopping station by station is clearly unable to meet the demands to travel fast of passengers at long distance,so the study of train plan to decrease the passengers’travel time and get comprehensive benefits of urban rail transit is of great significance.This thesis mainly analyzes skip-stop operation,express/local operation and zonal operation of urban rail transit on the basis of bi-level programming.These are main lines of the paper.First,the study summarizes the train plan problem,mainly discusses the character and applicable condition differences of skip-stop operation,express/local operation and zonal operation of urban rail transit.Second,this thesis researches on passenger travel behavior by transferring network,and the research on train plan of urban rail transit is undertook on the basis of bi-level programming.Because there are a variety of traveling plans to choose for passengers in urban rail transit,it is necessary to analyze the behavior of the passengers under a variety of train plans to make the line capacity and passenger travel needs effectively match.Therefore,this paper constructs the passenger transferring network to analyze the passenger flow assignment under train plans.After the lower programming completing the passenger flow assignment,the upper programing adjusted its optimizing direction.Then models of skip-stop operation,express/local operation and zonal operation are built to discuss non all-stop train plan.Third,the particle swarm optimization algorithm(PSO)is used to solve the model as well as a numerical example.In this paper,PSO is used to solve skip-stop operation,express/local operation and zonal operation train plan problem.Besides,a numerical example of Metro Line S of City G is presented to illustrate the proposed method to analyze adaptability of passenger flow and performance to different optimization objectives,and discuss the applicable condition of skip-stop operation,express/local operation and zonal operation of urban rail transit. |
