The invention discloses a dangerous road section traffic accident early-warning method for a vehicle-mounted short-distance communication network. According to the invention, a roadside node is arranged beside a dangerous road section. Meanwhile, the information containing the speed and the type of a vehicle and periodically sent by the vehicle is collected through a communication channel of the vehicle-mounted short-distance communication network. By utilizing a bayesian network having the historical data learning function, the occurrence probability of traffic accidents of the vehicle is predicted. The implementation method comprises five parts. During the first part, a factor for determining accident prediction and a value range of the factor are determined. During the second part, a bayesian prediction model is determined according to the prediction factor and the value range of the factor. During the third part, the learning of the bayesian network is carried out and the probability of each condition is determined based on the historical data of traffic accidents and expert experiences. During the fourth part, the reasoning method of the bayesian network is determined. Duringthe fifth part, the method for collecting the vehicle information and the method for predicting the vehicle traffic accident are realized through the roadside node.