基于手机信令的道路交通流量状态识别及预测
发布时间：2019-07-24 17:57
【摘要】：提出了一种基于手机信令的道路交通流量状态识别与预测方法,能够基本上满足智能交通建设的数据广域、全面、实时、动态的要求,并提供路况拥堵查询、统计预警分析等功能应用,是一种可靠的实时交通信息采集方式。由于其自身具备投资少、维护成本低的优点,可在短时间向二三线城市大范围推广应用。
[Abstract]:In this paper, a road traffic flow state identification and prediction method based on mobile phone signaling is proposed, which can basically meet the data wide area, comprehensive, real-time and dynamic requirements of intelligent traffic construction, and provide traffic condition congestion query, statistical early warning analysis and other functional applications. It is a reliable real-time traffic information collection method. Because of its advantages of low investment and low maintenance cost, it can be widely used in second and third tier cities in a short time.
【作者单位】： 华南理工大学;广州杰赛科技股份有限公司;
【分类号】：TN929.53
本文编号：2518793
[Abstract]:In this paper, a road traffic flow state identification and prediction method based on mobile phone signaling is proposed, which can basically meet the data wide area, comprehensive, real-time and dynamic requirements of intelligent traffic construction, and provide traffic condition congestion query, statistical early warning analysis and other functional applications. It is a reliable real-time traffic information collection method. Because of its advantages of low investment and low maintenance cost, it can be widely used in second and third tier cities in a short time.
【作者单位】： 华南理工大学;广州杰赛科技股份有限公司;
【分类号】：TN929.53
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