Research on Precise Train Control Strategy Based on Autoregressive Prediction Model
With the development of science and technology,the automatic driving technology is becoming more and more ma-ture,which is of great significance to improve the train operation efficiency.The traditional precise train control strategy is limited by the train braking time,which is easy to cause the emergency braking response not to be timely,and cannot meet the current high-density train precision control needs.A precise train control strategy is designed based on the autoregressive prediction model,the precise control parameters of the train are identified,and the precise control algorithm of the train is de-signed.The precise control state of the train is predicted and verified,and the precise control of the train is realized.The ex-periment results show that the emergency braking response time of the designed train precise control optimization strategy is short,which can realize the real-time precise control of the train,has certain application value.
autoregressive prediction modelhigh density trainprecise controlemergency braking
国家科技期刊平台
NSTL
万方数据
