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TRAFFIC ANOMALY DETECTION METHOD BASED ON TIME DISTRIBUTION OF TRAVELS

机译:基于出行时间分布的交通异常检测方法

摘要

A traffic anomaly detection method. By using a vehicle-mounted GNSS positioning device of a floating vehicle, spatial position information on different time points can be obtained; and by means of the analysis and excavation of a great quantity of track information of the floating vehicle, a traffic anomaly event of an urban road can be smartly detected. In the method for detecting a traffic anomaly, a traffic state is indicated by using the probability distribution of travel time, a traffic state difference is reflected by using probability distribution difference measurement indictors; compared with the prior art, the present invention has the characteristics: the principle is clear, the implementation is simple and convenient, and the detection rate is high.
机译:一种流量异常检测方法。通过使用浮动车辆的车载GNSS定位装置,可以获得不同时间点的空间位置信息。并且,通过对浮动车辆的大量轨道信息进行分析和挖掘,可以智能地检测出城市道路的交通异常事件。在交通异常检测方法中,利用行驶时间的概率分布表示交通状态,利用概率分布差异测量指标反映交通状态差异。与现有技术相比,本发明具有原理清晰,实现简单方便,检测率高的特点。

著录项

  • 公开/公告号WO2018122805A1

    专利类型

  • 公开/公告日2018-07-05

    原文格式PDF

  • 申请/专利权人 TONGJI UNIVERSITY;XU MICHAEL JUN;

    申请/专利号WO2017IB58535

  • 发明设计人 DU YUCHUAN;DENG FUWEN;

    申请日2017-12-30

  • 分类号G08G1/01;

  • 国家 WO

  • 入库时间 2022-08-21 12:43:32

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