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一种基于事件驱动的城市路网智慧交通信号控制系统

An Event-Driven Intelligent Traffic Signal Control System for Urban Road Network
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摘要 当今社会智慧城市建设步伐越来越快,智慧交通成为智慧城市建设的关键一环,而交通信号控制系统是缓解城市路网拥堵、提高通行效率的有效手段。随着5G网络、交通物联网、车路协同系统的发展,海量交通数据向信号控制系统汇聚,对智慧交通环境下信号控制系统的实时性和智慧性提出了更高的要求。提出一种基于事件驱动的城市路网智慧交通信号控制系统,利用大数据计算引擎和AI视频识别技术对海量交通数据进行实时处理,将处理结果转换为事件,信号控制系统通过对事件的及时响应实现对城市路网的精准控制。 Nowadays,when the development of smart city construction is becoming faster,smart transportation has become a key part of it,and traffic signal control system is an effective means to alleviate the congestion of urban road network and improve the traffic efficiency.With the development of 5G network,transportation Internet of things and cooperative vehicle infrastructure system,massive traffic data converges to the signal control system,which puts forward higher requirements for the real-time and intelligence of the signal control system in the intelligent traffic environment.In this paper,an event-driven intelligent traffic signal control system(EDSCS)for urban road network is proposed.It uses big data computing engine and AI video recognition technology to process massive traffic data in real time,and converts the processing results into events.The signal control system realizes precise control of urban road network by timely response to events.
作者 程添亮 项俊平 CHENG Tian-liang;XIANG Jun-ping(Jari Electronics Co.,Ltd.,Lianyungang,Jiangsu 222000,China)
出处 《黑龙江交通科技》 2021年第9期180-182,185,共4页 Communications Science and Technology Heilongjiang
关键词 智慧交通 信号控制系统 大数据 AI视频识别 事件 intelligent transportation signal control system big data AI video recognition event
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  • 1Hontani H, Koga T. Character extraction method without prior knowledge on size and position information vehicle[ C] //Proceedings of the IEEE International Electronics Conference, 2001 : 67 - 72.
  • 2Pflugfelder R, Bischof H, Dominguez G F, et al. Influence of camera properties on image analysis in visual tunnel surveillance [ C] //Proceedings of Intelligent Transportation Systems, 2005: 868- 873.
  • 3Oh Jutaek, Min Joonyoung, Kim Myungseob, et al. Development of an automatic traffic conflict detection system based on image tracking technology [J ]. Transportation Research Record, 2009 (2129): 45- 54.
  • 4Lv Y S,Duan Y J,Kang W W,et al.Traffic flow prediction with big data:a deep learning approach. IEEE Transactions on Intelligent Transportation Systems . 2015
  • 5Dong H H,Wu M C,Ding X Q,et al.Traffic zone division based on big data from mobile phone base stations. Transportation Research Part C:Emerging Technologies . 2015
  • 6Krzysztof Walkowiak,Micha? Wo?niak,Miros?aw Klinkowski,Wojciech Kmiecik.??Optical networks for cost-efficient and scalable provisioning of big data traffic(J)International Journal of Parallel, Emergent and Distributed Systems . 2015 (1)
  • 7何承,朱扬勇.城市交通大数据(M)上海科学技术出版社, 2014
  • 8Li L,Su X N,Wang Y W,et al.Robust causal dependence mining in big data network and its application to traffic flow predictions. Transportation Research Part C:Emerging Technologies . 2015
  • 9Shi Q,Abdel-Aty M.Big data applications in real-time traffic operation and safety monitoring and improvement on urban expressways. Transportation Research Part C:Emerging Technologies . 2015
  • 10汪勤,黄山,张洪斌,杨权,张建军.基于视频图像处理的交通事件检测系统[J].计算机应用,2008,28(7):1886-1889. 被引量:14

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