Research On High-speed Train Operation Optimization And Simulation Verification Based On Virtual Reality

High-speed railway has played an important role in promoting our country's economic level and regional coordinated development.As the high-speed railway network is further improved,the operating environment that trains face in actual operation is more complicated,and higher requirements are placed on safety,punctuality and energy saving in operation.At present,the theoretical research on operation optimization at home and abroad is continuously deepened,but due to the limitations of field conditions,there are relatively few cases where the operation scheme is tested and successfully applied for real scenarios.Based on the actual problems of train operation,this paper designs the virtual simulation software that verifies the optimization algorithm by using virtual reality technology to meet the requirement that the operation solution solved by the operation optimization algorithm cannot be directly applied to the test and verification with real vehicles.The software can simulate the train operation process of different scenarios,and complete the test and verification of the proposed optimization algorithm.The main research contents are listed as follows.(1)The thesis studies the basic theories related to the optimization of high-speed train operation,establishes a train dynamics model,and analyzes the working condition conversion rules and driving strategy optimization methods during train operation.The thesis introduces virtual reality technology,summarizes the commonly used development tools.The thesis puts forward a virtual simulation software design plan,which lays a theoretical foundation for the subsequent virtual simulation research and software development.(2)The thesis researches the new swarm intelligence algorithm-cuckoo search algorithm,analyzes its basic principle and implementation process.Combining the advantages of the differential evolution algorithm,the paper proposes an improved cuckoo search algorithm.In order to verify the feasibility of the algorithm,several typical test functions are selected for optimization verification,which proves the advantage of the improved cuckoo search algorithm in solving the objective function.Finally,the algorithm is applied to train operation optimization,and the general steps for solving the optimal train operation plan are given.(3)Aiming at the problem of train operation simulation in virtual reality,the thesiscarried out method research from the aspects of virtual environment establishment and train virtual operation.In the establishment of a virtual environment,the general steps of creating models and texture mapping methods were analyzed,and the LOD technology that facilitated the simplification of large-scale scenes and improved the efficiency of real-time processing was studied.In the virtual operation of trains,the virtual camera tracking method and collision detection principle were studied.In this paper,the state deduction method and event sequence promotion mechanism of the following vehicles in the virtual test environment are proposed.(4)Aiming at the problem of test verification of operation optimization algorithms,virtual simulation software for high-speed train operation optimization was developed,and it was proved in the software performance test that the rendering optimization method can effectively improve the calculation efficiency of the entire simulation environment.The operation optimization theory was tested in the simulation environment,and it was verified that the improved cuckoo search algorithm can guarantee the safe and punctual operation of the train in the three scenarios of no additional interference,temporary speed limit,and random interference.This paper uses virtual reality technology to develop a virtual simulation software that can simulate a variety of operating scenarios,providing a visual test and verification environment for operational optimization theoretical research.At the same time,using the line data of the Wuhan-Guangzhou line,the train operation process simulation and optimization algorithm verification were completed.The results show that the tested algorithm can complete the real-time calculation of the train operation plan,and ensure that the train can achieve safe and on-time operation in different scenarios.This reduces the cost of actual field testing of future operational optimization theoretical studies and provides new ideas for future theoretical test verification in this field.This thesis contains 60 figures,30 tables and 63 references.