现代交通技术2023，Vol.20Issue(6)：18-23,37,7.
基于人车协同识别的行程轨迹预测
Travel Trajectory Prediction Based on Human Vehicle Cooperative Recognition
摘要
Abstract
In order to solve problems such as borrowing a car to travel and driving route violations,first uses a person-vehicle collaborative identification system constructed by person identification equipment and electronic identification of motor vehicles to associate the driver with the vehicle;then,based on the position of the detection equipment on the map,a Gaussi-an mixture model is used to initially predict the person's travel trajectory,supplemented by flight estimation to correct the pre-dicted trajectory,further determine the vehicle's travel trajectory,and implement an accurate trajectory prediction.关键词
人车协同识别/轨迹预测/高斯混合模型/航迹推算Key words
human vehicle collaborative recognition/trajectory prediction/Gaussian mixture model/track estimation分类
交通运输引用本文复制引用
郭唐仪,李林蔚,王梓,杨雨薇,彭勃硕..基于人车协同识别的行程轨迹预测[J].现代交通技术,2023,20(6):18-23,37,7.基金项目
江苏省交通运输科技与成果转化重大专项(2019Z01) （2019Z01）
