A remote detection method for vehicle collision events is proposed. This method is used to analyze the speed and acceleration signals of vehicles by using machine learning so as to monitor the vehicle running states online. The front-end equipment of a vehicle collects the speed and acceleration signals in real time, preliminarily identifies possible collision signals and sends them to the back-end server through wireless network. The back-end server accurately identifies the collision signals and estimate the damage degree of vehicles. The detection methods of collision events and collision damages are given in this article, and the experimental results show that the proposed method is effective.