计算机工程与应用Issue(3)：227-231,5.DOI:10.3778/j.issn.1002-8331.1303-0230
基于模糊着色Petri网的车辆运动轨迹预测
Prediction of vehicle trajectory based on fuzzy colored Petri net
摘要
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.关键词
车辆轨迹/预测/模糊/Petri网Key words
vehicle trajectory/prediction/fuzzy/Petri net分类
信息技术与安全科学引用本文复制引用
詹盛,徐远新,石涌泉,王畅,张亚岐..基于模糊着色Petri网的车辆运动轨迹预测[J].计算机工程与应用,2014,(3):227-231,5.基金项目
国家自然科学基金（No.51178053）；教育部长江学者与创新团队支持计划项目（No.IRT1286）。 （）
