Simulation Research On Delay Selfrecovery Strategy Of High-speed Railway Based On Predictive Control Of Train

With the increase of high-speed rail operating mileage,the decrease of tracking interval and the increase of traffic density,the frequent delays of high-speed rail in China,especially in short time,have a negative impact on the operation order of high-speed rail and passenger satisfaction.To realize the rapid recovery of delayed trains and reduce the number of trains affected by delayed trains becomes an urgent problem to be solved.Based on the analysis of the influence of forward train delay on the arrival time of backward tracking train,this paper puts forward a predictive train control delay self-recovery strategy for high-speed railway.This strategy can effectively reduce the arrival time of trailing tracking train and accelerate the delayed recovery.A self-recovery simulation system for high-speed train delay based on predictive train control is designed and developed,and the effectiveness of predictive train control for speeding up the process of high-speed train delay propagation is simulated and verified by using the simulation system.The main research of this academic dissertation is as follows:Firstly,this academic dissertation analyzes the influence of train arriving late,introduces the concept of train arriving transfer point,and classifies the train arriving time from transfer point.The fastest point is determined based on the transition point,and the formula for calculating the fastest point is deduced.The influence of predictive vehicle control based on maximum speed point on delay recovery was calculated and analyzed,and the delay selfrecovery strategy based on predictive vehicle control was proposed.Afterwards,based on the basic principles of train dynamics,a four-layer line model based on line segmentation and a rigid rope body dynamics model for train simulation are constructed,the calculation methods for train control curves and predictive train control curves are designed,the train operation control method under moving block control method is analysed,and a simulation model based on predictive train control for the delay recovery of high-speed rail is constructed.Subsequently,the functional requirements,general and module architecture of the simulation system were analysed and designed,and the functions and interface design of the three modules,including the data management module,the high-speed railway late selfrecovery simulation module and the result display and saving module,were elaborated,and the high-speed railway delay self-recovery simulation system based on predictive train control was developed on this basis.Finally,for the Nanjing South-Shanghai Hongqiao section of the Beijing-Shanghai Railway,the simulation system developed above was used to simulate the delay arrival and departure of CRH380 A trains with the CTCS-3 level train control system after imposing certain arrival or departure delays,and the recovery of late arrival and departure of trains under the two modes of no predictive train control and predictive train control was obtained.The simulation results verified that the predictive train control-based high-speed railway late selfrecovery strategy has a good effect in accelerating the recovery of short time late,and the time required for delay recovery in predictive train control is about 80% of the time required for delay recovery in no predictive train control.