Research On Driving Strategy Of High-speed Train In Complex Meteorological Environment

China has a vast territory,and the complex topography and geology lead to diverse meteorological environments.Considering the characteristics of high-speed railway trains,such as high operating speed and diverse operation scenarios,how to establish a scientific and effective early warning mechanism for meteorological disasters that endanger traffic safety and ensure the safe operation of high-speed railway trains is an urgent problem and research project.The existing driving method in disaster weather is to complete emergency stopping according to the temporary speed limit command sent by the dispatching center,mainly relying on the driver to manually speed control.The train operation control mechanism is effectively established by analyzing the actual operating environment,and the vehicle can actively plan the train recommended speed profile to guide train operation according to the received weather warning information.The passive prevention of traffic safety management is transformed into active prevention,which can not only reduce the impact of disaster weather on safe driving,but also ensure maximum driving efficiency.This paper proposes an early warning speed limit plan for trains after identifying and diagnosing disaster risks of different meteorological types.The genetic algorithm optimized by reverse learning mechanism and data-driven strategy is used to optimize the operation speed profile of high-speed trains,and a high-speed railway meteorological early warning platform is constructed to simulate and verify the train control.The main research contents are as follows:(1)Based on the analysis of typical control principles and speed limit models,the driving strategies under different train operating conditions are determined.Considering the relationship between performance indexes,a multi-objective improvement model was established,and the fuzzy analytic hierarchy process(FAHP)was used to provide a theoretical basis for the design of weight indexes.(2)Analyze the influence mechanism of high-speed railway train safety operation in different disaster weather,apply the corresponding high-speed railway train speed control scheme,and put forward the train operation protection strategy under disaster weather.Further determine the basic structure and early warning information transmission process of the high-speed railway natural disaster early warning system.(3)Considering the train operating speed protection requirements in disaster weather,replanning the line speed limit conditions,using the acceleration as the decision variable to optimize the train operating speed profile,a genetic algorithm combined with the acceleration adjustment method is proposed.Aiming at the limitations of the algorithm,a reverse learning mechanism and data update strategy optimization method are proposed,and the simulation verification is carried out through the actual line condition.The results show that the optimized driving profile satisfied the requirements of punctuality,comfort and precise stopping,and the energy consumption effect is reduced by 7.41%.(4)Based on functional requirements and system characteristics,the architecture characteristics and basic components of the high-speed railway station meteorological early warning system,the early warning human-machine interface,and the interface communication module are determined,and then a high-speed railway meteorological early warning simulation platform is established to realize the simulation verification of the train operating state adjustment scheme under the disaster meteorological scene.64 figures,14 tables,80 references.