智能交通系统主要技术的发展  

Progress of intelligent transportation system key technologies

作　　者：陆化普[1] LU Huapu(Institute of Transportation Engineering,Tsinghua University,Beijing 100084,China)

机构地区：[1]清华大学交通研究所,北京100084

出　　处：《科技导报》2019年第6期27-35,共9页Science & Technology Review

基　　金：北京市科技计划项目(Z161100001116093)

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.

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 

分 类 号：U495[交通运输工程—交通运输规划与管理]