{"title":"Cloud Control Platform of Vehicle and Road Collaborative and its Implementation on Intelligent Networked Vehicles","authors":"Erxin Sun, Zongjuan Chen, Jianjun Cai","doi":"10.1109/ICESIT53460.2021.9696550","DOIUrl":null,"url":null,"abstract":"In this paper, the development status of vehicle-road collaboration is discussed in detail, and an intelligent networked vehicle-road collaborative cloud control platform architecture is proposed. Based on big data cluster architecture, vehicle-road collaborative perception and communication, 5G mobile communication, high-precision map, real-time edge computing and other key technologies. The platform realizes the storage, processing, management, analysis and display of the massive data generated by vehicle and road cooperation, it introduces in detail the platform functions such as vehicle intelligent manage and control, V2X comprehensive management, test operation management, data management and system management. Providing reliable basis for the prediction, perception, decision making and control of intelligent networked vehicles. It provides the platform support for the commercialization of the three-level test of intelligent networked vehicles","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICESIT53460.2021.9696550","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, the development status of vehicle-road collaboration is discussed in detail, and an intelligent networked vehicle-road collaborative cloud control platform architecture is proposed. Based on big data cluster architecture, vehicle-road collaborative perception and communication, 5G mobile communication, high-precision map, real-time edge computing and other key technologies. The platform realizes the storage, processing, management, analysis and display of the massive data generated by vehicle and road cooperation, it introduces in detail the platform functions such as vehicle intelligent manage and control, V2X comprehensive management, test operation management, data management and system management. Providing reliable basis for the prediction, perception, decision making and control of intelligent networked vehicles. It provides the platform support for the commercialization of the three-level test of intelligent networked vehicles