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基于多源数据的高速公路交通运行特征与治堵策略研究——以深圳市机荷高速为例

Research on Traffic Operation Characteristics of Expressway and Control Strategy of Traffic Congestion Based on Multi-source Data--Taking Shenzhen Jihe Expressway as an Example
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摘要 伴随都市圈空间联系的逐步加强,长距离、过境交通出行需求增长迅速,高速公路大规模多功能交通系统日益复杂,科学掌握高速公路交通运行特征成为提高其服务水平的关键.以深圳市机荷高速为例,在融合交通监控视频、车牌识别数据、微波雷达数据、车辆GPS数据、收费流水数据等多源交通数据的基础上,提出面向高速公路交通流运行特征分析的规范化数据分析框架与处理流程,并使用交通流量、交通组成、速度、车头时距、流速曲线等运行指标深度分析高速公路交通运行特征,进一步探寻交通拥堵成因,提出相应的交通改善建议,有效提高高速公路的运行效率,为高速公路运营管理提供科学的决策支持. With the strengthening spatial connection of metropolitan areas,the demand for long-distance and transit traffic is growing rapidly,and the large-scale and multi-functional traffic system of expressway is becoming increasingly complex.Therefore,scientifically mastering the traffic operation characteristics of expressway becomes the key to improve its service level.Taking Shenzhen Jihe Expressway as an Example,a standardized data analysis framework and processing process oriented to the analysis of the traffic operation characteristics of expressway is proposed based on the fusion of multi-source traffic data,such as traffic surveillance video,license plate recognition data,microwave radar data,vehicle GPS data and toll flow data.Further,the traffic flow,traffic composition,speed,headway,velocity curve and other key traffic indicators of expressway are employed to analyze the traffic operation characteristics of expressway,and the causes of traffic congestion are explored to put forward the corresponding traffic improvement suggestions,which effectively improves the operation efficiency of expressway,and can provide scientific decision support for expressway operation management.
作者 唐易 刘诗昆 刘恒 TANG Yi;LIU Shikun;LIU Heng(Shenzhen Urban Transport Planning Center Co.,Ltd,Shenzhen 518000,China)
出处 《交通与运输》 2022年第S01期132-138,共7页 Traffic & Transportation
基金 支撑开放生态搭建的城市交通大数据智能计算云平台与应用示范(2018YFB1601105)
关键词 运行特征 多源数据 高速公路 交通拥堵 交通改善 Operation characteristics Multi-source data Expressway T raffic congestion Traffic improvement
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