{"title":"Design of intelligent traffic guidance display system based on internet of vehicles","authors":"C. Liu","doi":"10.1504/ijvics.2020.10030797","DOIUrl":null,"url":null,"abstract":"In order to solve the problem of inaccurate detection of road space occupation, an intelligent traffic guidance and display system based on vehicle network is designed. Firstly, the real-time acquisition and prediction of vehicle and path environment data are realised by using navigation information data acquisition module. Secondly, the traffic guidance information is used to publish the model, edit the data, and send the traffic guidance information display module. Then, the set theory method is used to detect the traffic volume of RFID readers set up on the road. Finally, the average space speed, space occupation rate and road delay time are calculated to complete the traffic guidance. The experimental results show that the system can quickly balance the delay in road network and shows powerful guidance display performance with instantaneity larger than 95% and dynamics high 0.97 in ten kinds of traffic congestions in different roads.","PeriodicalId":39333,"journal":{"name":"International Journal of Vehicle Information and Communication Systems","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Vehicle Information and Communication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijvics.2020.10030797","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
In order to solve the problem of inaccurate detection of road space occupation, an intelligent traffic guidance and display system based on vehicle network is designed. Firstly, the real-time acquisition and prediction of vehicle and path environment data are realised by using navigation information data acquisition module. Secondly, the traffic guidance information is used to publish the model, edit the data, and send the traffic guidance information display module. Then, the set theory method is used to detect the traffic volume of RFID readers set up on the road. Finally, the average space speed, space occupation rate and road delay time are calculated to complete the traffic guidance. The experimental results show that the system can quickly balance the delay in road network and shows powerful guidance display performance with instantaneity larger than 95% and dynamics high 0.97 in ten kinds of traffic congestions in different roads.