电信科学 ›› 2016, Vol. 32 ›› Issue (8): 2-9.doi: 10.11959/j.issn.1000-0801.2016225

• 车联网技术与应用 •    下一篇

基于“端—管—云”体系的车载自组织网络关键技术

赵军辉1,2,陈燕2,黄德昌1,黄大成3   

  1. 1 华东交通大学信息工程学院,江西 南昌310033
    2 北京交通大学电子信息工程学院,北京100044
    3 深圳市方格尔科技有限公司,广东 深圳518057
  • 出版日期:2016-08-20 发布日期:2017-04-26
  • 基金资助:
    国家自然科学基金资助项目;江西省交通厅科研基金资助项目

Key technology of VANET in terminal-management-cloud model

Junhui ZHAO1,2,Yan CHEN2,Dechang HUANG1,Dacheng HUANG3   

  1. 1 School of Information Engineering,East China Jiaotong University,Nanchang 310033,China
    2 School of Electronic and Information Engineering,Beijing Jiaotong University,Beijing 100044,China
    3 Fangle Technology Company,Shenzhen 518057,China
  • Online:2016-08-20 Published:2017-04-26
  • Supported by:
    The National Natural Science Foundation of China;Science and Technology Project of Jiangxi Provincial Transport Bureau

摘要:

随着道路拥堵等交通问题的日益严峻,智能交通系统成为解决当前交通问题的有效途径。车载自组织网络及车辆作为智能交通的重要组成部分也成为了当前的研究热点。首先介绍了车联网在国内外的发展历史和现状,然后分别从端系统、管系统、云系统3个方面对车联网进行了分析研究,着重介绍了管系统中的V2V(vehicle to vehicle)和V2R(vehicle to roadside)两种通信技术。此外,对于面向车联网的交通云和大数据技术进行了概括介绍。最后,探讨了车载自组织网络的应用场景和未来发展趋势。

关键词: 车载自组织网络, 通信技术, “端—管—云”体系

Abstract:

With the increasing of traffic problems,such as traffic congestion,intelligent transportation system(ITS)becomes an effective way to solve the increasing transportation issues of the current traffic.Vehicular Ad Hoc networks(VANET)and vehicles as important parts of ITS have become focus of current research.Firstly,the development history and current situation of VANET both at home and abroad were introduced,and then VANET from the terminal system,management system,cloud system were analyzed respectively.Then,the V2V and V2R communication technologies of terminal system were introduced emphatically.In addition,VANET oriented traffic cloud and big data technology were outlined.Finally,application scenarios and the future development of communication technologies in VANET were discussed.

Key words: vehicular Ad Hoc network, communication technology, terminal-management-cloud model

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