智能交通系统主要技术的发展
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  • 英文篇名:Progress of intelligent transportation system key technologies
  • 作者:陆化普
  • 英文作者:LU Huapu;Institute of Transportation Engineering,Tsinghua University;
  • 关键词:智能交通技术 ; 交通大数据 ; 交通大脑 ; 无感技术 ; 车路协同
  • 英文关键词:ITS technology;;traffic big data;;urban traffic brain;;non-contact technology;;vehicle-road coordination
  • 中文刊名:KJDB
  • 英文刊名:Science & Technology Review
  • 机构:清华大学交通研究所;
  • 出版日期:2019-03-28
  • 出版单位:科技导报
  • 年:2019
  • 期:v.37;No.564
  • 基金:北京市科技计划项目(Z161100001116093)
  • 语种:中文;
  • 页:KJDB201906006
  • 页数:9
  • CN:06
  • ISSN:11-1421/N
  • 分类号:29-37
摘要
以城市智能交通和智能交通新技术两个角度为重点,盘点了智能交通发展现状,分析了关键技术及其发展状态;探讨了交通大数据平台及其应用、视频技术、分析研判技术、交通控制技术、车路协同技术、城市交通大脑、无感技术等关键技术的未来发展;结合交通强国战略要求,提出了未来智能交通发展的重点方向与建议。
        Firstly, this paper summaries and analyzes the present development of intelligent transportation systems from two aspects: urban ITS and new technologies. Then, the prospective discussions are given for the traffic big data platform, the video technology, the AI technology, the traffic control technology, the vehicle-road coordination, the urban traffic brain and the non-contact technology. Finally, the key directions and some suggestions for the development of the intelligent transportation in the future are put forward.
引文
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