Position computation models for high-speed train based on support vector machine approach
We increase the positioning accuracy of high-speed train in a new view of advanced computing methods. We formulate a mathematical model based on the analysis of wireless message from train control system. Three positioning computation models and their parameter updating methods are developed. Although LSSVM-based model performs almost the same as SVM-based model, both of them perform much better than the LSM-based model. LSSVM-based model with parameter updating method performs the best among the three models for the online positioning for high-speed trains.
high-speed train support vector machine least square support vector machine positioning error