微型电脑应用2023，Vol.39Issue(12)：1-4,8,5.
基于预测堵车信息的路径动态规划系统
Dynamic Route Planning System Based on Predicting Traffic Jam Information
摘要
Abstract
The navigation system often has problems such as inaccurate planning and delayed planning,which often causes vehi-cles to to have to pass through traffic jams.Therefore,a dynamic path planning system based on ARIMA-WNN combined pre-diction model is proposed.The Dijkstra algorithm is used for global planning to obtain the initial path,and the historical traffic flow data are used to predict the traffic flow of the initial path and the intersections around the path.Based on the predicted da-ta and the average speed of the vehicle,it is judged whether there is a traffic jam when the vehicle reaches a certain intersection.The path is optimized locally by combining the loss equation of the traffic jam area,so as to avoid the traffic jam in advance.Through experimental simulation,it is found that this dynamic planning system effectively improves the accuracy of path plan-ning,shortens the driving path,and reduces the negative impact of traffic jam.关键词
ARIMA-WNN组合模型/短时交通流量预测/Dijkstra算法/堵车Key words
ARIMA-WNN combined model/short-term traffic flow prediction/Dijkstra algorithm/traffic jam分类
交通运输引用本文复制引用
侯辰飞,朱健慧,刘可昕,杨峻,刘蕊..基于预测堵车信息的路径动态规划系统[J].微型电脑应用,2023,39(12):1-4,8,5.基金项目
国家级大学生创新创业训练计划项目(202110732005) （202110732005）
甘肃省大学生创新创业训练项目(DC20211) （DC20211）
兰州交通大学大学生科技创新项目(DXS2022-020) （DXS2022-020）
