Abstract: Speed measurement is one of the most basic functions of train control system in urban rail transit. In order to improve its measurement reliability, two speed measurement methods were usually used, and then, the two speeds were fused. This article proposed a speed fusion algorithm based on support vector machine (SVM), designed the corresponding testing platform. The algorithm was validated by simulating various speed conditions, and proved that the algorithm was higher fault tolerance and could improve the accuracy of speed measurement.