电信科学 ›› 2020, Vol. 36 ›› Issue (4): 61-68.doi: 10.11959/j.issn.1000-0801.2020123

• 专题:车联网与安全 • 上一篇    下一篇

基于车联网远程驾驶的虚拟资源智能协同管理技术

彭新玉1,周扬2,董振江3   

  1. 1 南京未来网络产业创新有限公司,江苏 南京 211000
    2 耀维科技南京有限公司,江苏 南京 210008;3.深圳市人工智能行业协会,广东 深圳 518000
    3 深圳市人工智能行业协会,广东 深圳 518000
  • 修回日期:2020-04-02 出版日期:2020-04-20 发布日期:2020-04-24
  • 作者简介:彭新玉(1973- ),男,南京未来网络产业创新有限公司项目总监、高级工程师,长期从事与网络通信相关的研究工作,主要研究方向为网络通信、工业互联网和人工智能等|周扬(1979- ),男,耀维科技南京有限公司研发总监,主要研究方向为人工智能和物联网,取得多项发明专利,曾获得南京市科学技术进步奖一等奖|董振江(1970- ),男,博士,深圳市人工智能行业协会会长,国务院特殊津贴专家,中国人工智能学会常务理事,中国计算机学会理事,长期从事通信、云计算、大数据和人工智能等研究开发工作,主要研究方向为人工智能与车联网
  • 基金资助:
    江苏省战略性新兴产业重大载体项目(2014NFG52301)

Intelligent collaborative management technology of virtual resources based on internet of vehicles remote driving

Xinyu PENG1,Yang ZHOU2,Zhenjiang DONG3   

  1. 1 Nanjing Future Network Industry Innovation Co.,Ltd.,Nanjing 211000,China
    2 Ztebright Technology Nanjing Corporation,Nanjing 210008,China;3 Shenzhen Artificial Intelligence Industry Assocication,Shenzhen 518000,China
    3 Shenzhen Artificial Intelligence Industry Assocication,Shenzhen 518000,China
  • Revised:2020-04-02 Online:2020-04-20 Published:2020-04-24
  • Supported by:
    Major Carrier Projects of Strategic Emerging Industries in Jiangsu Province(2014NFG52301)

摘要:

从车联网远程驾驶应用场景入手,分析远程驾驶对网络通信的具体需求,系统提出技术分析方案。首先,在终端侧引入移动边缘计算(mobile edge computing,MEC)技术,提供低时延、大带宽和高可靠的边缘计算服务;其次,在网络侧进行虚拟资源协同调度和智能故障预测技术分析,完成远程驾驶所需网络资源的全局管理;最后,在平台侧对智能车辆集成控制服务和与SDN云控制中心相关的技术进行分析,从而实现远程驾驶车辆的智能应用。

关键词: 远程驾驶, 移动边缘计算, 网络资源调度, 智能协同管理, 车辆集成控制

Abstract:

Starting from the application scenario of internet of vehicles remote driving,the specific requirements of remote driving for network communication were analyzed.The technical analysis scheme was put forward systematically.First of all,mobile edge computing technology was introduced on the terminal side to provide,low latency,large bandwidth and high reliability edge computing services.Secondly,virtual resource cooperative scheduling and intelligent fault prediction technology were analyzed on the network side,to complete the global management of network resources for remote driving.Finally,the related technologies of the intelligent vehicle integrated control service and SDN cloud control center were analyzed on the platform side,so that the intelligent application of remote driving vehicle was realized.

Key words: remote driving,mobile edge computing, network resource scheduling, vehicle integrated control

中图分类号: 

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