Study On Compilation Of Train Routing Scheme For Urban Rail Transit Based On Passenger Space-time Distribution

In recent years,With the obvious acceleration of China's urbanization process,the planning and construction of urban rail transit conform to the trend and expand its scale.With the strong support of local governments,China's urban rail transit construction has achieved remarkable results.However,in the operation of urban rail transit,each operation unit still adopts the most traditional maximum section method to determine the train routing scheme,which greatly inhibits the improvement of passenger service level.In order to improve the service level of urban rail transit,on the basis of thorough analysis of existing research results,this paper summarizes the factors affecting the formulation of train routing schemes,and gives the framework for the compilation of train routing schemes for urban rail transit.And this paper takes the single line and the whole network of urban rail transit as the research object,based on the constraints of traffic conditions,the allocation level of transportation resources and the level of urban development,an optimization method of train routing schemes for urban rail transit considering the spatial and temporal distribution of passenger flow is proposed.The main work is as follows:(1)The unbalanced distribution of passenger flow in urban rail transit is analyzed and quantitative indicators to characterize the spatial and temporal imbalance of passenger flow are given.In view of the unbalanced distribution of passenger flow in time and space,this paper puts forward a feasible transport organization scheme,and expounds the feasibility and effectiveness of opening different routes to adapt to the unbalanced distribution of passenger flow in time and space.(2)This paper makes a theoretical analysis of train routing schemes for urban rail transit,compares and analyses the advantages and disadvantages of different modes of routing and the applicable passenger flow conditions,summarizes the main factors affecting train routing schemes,and gives quantitative indicators for evaluating the application effect of the schemes.Then it provides the theoretical basis,to set up the model of train routing schemes for subsequent chapters,evaluate and analyze the applicability of train routing schemes.(3)Taking the diameter line of urban rail transit as the research object,based on the analysis of the operation characteristics of full-length and short-turn routes,considering the constraints of line capacity,minimum departure frequency,train full load rate and marshalling number,the objective is to minimize passenger waiting time,vehicle running kilometers and train running time,taking the location of turning-back stations,the frequency of large and small trains and the number of marshalling vehicles as decision variables,an optimization model of large and small trains in urban rail transit is constructed.According to the characteristics of the model,the original multi-objective constrained problem is transformedinto a single-objective unconstrained optimization problem by using the linear weighted method,and a genetic simulated annealing algorithm for solving the model is designed.Taking Wuhan Metro Line 6 as a case study,the optimal train routing scheme and corresponding evaluation indexes are solved and compared,and the validity of the model and algorithm is verified.The results show that the operation of full-length and short-turn routes can not only reduce the operating costs of enterprises,reduce the number of vehicles used,but also improve the service level of passengers.(4)Taking the disconnected urban rail transit network as the research object,a train routing scheme compilation method is proposed.Based on the influencing factors of train routing schemes and from the point of view of optimum operation network system,a bi-level programming model for network train routing schemes is established,and the passenger routing behavior is simulated.A genetic simulated annealing algorithm is designed,and an example is used to verify the feasibility and effectiveness of the model and algorithm.The example shows that the method can greatly reduce the comprehensive cost: the optimal solution is 10.09% less than the worst feasible solution under a single route.The above method can also provide some reference for the study of train routing planning method of connected urban rail transit network.