关键词: 车辆轨迹, 预测, 模糊, Petri网

Abstract: The accurate prediction of vehicle trajectory can predicate the potential traffic conflict in real time and provide the best strategy to solve the traffic conflicts. The influence factors of vehicle trajectory are analyzed and the vehicle trajectory equations are established. According to the coordinate transformation and the relationship between variable parameters of each equation, the longitudinal and lateral acceleration are taken as model inputs and the domain of discourse and the membership functions are determined. In addition, the corresponding fuzzy rules are established on the basis of the fact that the states of vehicle may not change in a relatively short time. The colored fuzzy Petri net model is established to predict the vehicle trajectory. The real experimental data are used to train and test the model and the results show that the Petri net model can effectively predict vehicle trajectory within a short time.

Key words: vehicle trajectory, prediction, fuzzy, Petri net