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作 者:刘樟伟 Liu Zhangwei(School Of Civil Engineering&Transportation,South China University of Technology,Guangzhou 510641,China;Intelligent Transportation Division,Tencent Technology(Shenzhen)Co.,Ltd.,Shenzhen 518057,China)
机构地区:[1]华南理工大学土木与交通学院,广东广州510641 [2]腾讯科技(深圳)有限公司智慧交通事业部,广东深圳518057
出 处:《汽车知识》2024年第11期241-244,共4页AUTOMOTIVE KNOWLEDGE
摘 要:可变限速、匝道控制、路径引导等主动交通管控措施依托先进交通检测技术,实时做出管控策略,主动干预交通流运行,对缓解高快速路交通拥堵、提升行车安全具有显著作用。随着人工智能、信息技术发展,车路协同凭借其交通状态全覆盖感知、信息实时交互性、车辆用户感知能力强等特点,为交通控制提供新思路。本文采用文献分析法,系统梳理国内外在车路协同、高快速路主动交通管控等领域研究现状,并根据发展现状及技术趋势提出未来车路协同主动交通管控的研究方向。ATM(Active Traffic Management)such as variable speed limit,ramp control and path guidance rely on advanced traffic detection technology to make real-time control strategies and actively intervene in traffic flow operation,which plays a significant role in alleviating traffic congestion on high-speed and improving driv-ing safety.With the development of artificial intelligence and information technology,cooperative vehicle infra-structure system provides new ideas for traffic control by virtue of its characteristics such as full coverage per-ception of traffic state,real-time interaction of information,and strong perception ability of vehicle users.By using literature analysis method,this paper systematically reviews the domestic and foreign research status in the fields of cooperative vehicle infrastructure system and ATM of high-speed,and proposes the research direc-tion of vehicle-road collaborative active control in the future according to the development status and technical trend.
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