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Detecting and locating of traffic incidents in a road segment based on lane-changing characteristics

机译:基于车道变换特征的路段交通事故检测与定位

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摘要

In road traffic, stalled vehicles, spilled loads and traffic accidents often result in traffic jams or secondary accidents. It is better for us to detect and locate these non-recurrent traffic incidents accurately as soon as possible, so that early warning, timely incident handling and speedy congestion evacuation will be better achieved. This paper proposes an automatic detecting and locating method of traffic incidents in a road segment based on lane-changing characteristics. At regular time intervals, for each traffic lane, the method calculates the lane-changing-out ratio of vehicles and judges whether a traffic incident has happened. For a traffic-incident lane, entry points and exit points of lane-changing vehicles are considered as positive and negative samples, respectively, then the traffic incident is confirmed further and its position is calculated by searching for the optimal separating surface of the two kinds of samples. Experimental results prove that the method is practicable and effective.
机译:在道路交通中,失速的车辆,溢出的货物和交通事故经常导致交通拥堵或二次事故。最好是尽快准确地检测和定位这些非经常性交通事故,以便更好地实现预警,及时处理事故和迅速疏散交通拥堵。提出了一种基于换道特性的路段交通事故自动检测定位方法。该方法以固定的时间间隔为每个行车道计算车辆的换道率,并判断是否发生交通事故。对于交通事故车道,将变道车辆的入口点和出口点分别视为正样本和负样本,然后进一步确定交通事件,并通过搜索两种类型的最佳分隔面来计算其位置样本。实验结果证明了该方法的可行性和有效性。

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  • 来源
    《Transportmetrica》 |2017年第10期|853-873|共21页
  • 作者单位

    Langfang Teachers Univ, Coll Math & Informat Sci, Langfang, Peoples R China|Beijing Univ Technol, Coll Metropolitan Transportat, 100 Pingleyuan, Beijing 100124, Peoples R China|Beijing Key Lab Transportat Engn, Beijing, Peoples R China;

    Beijing Univ Technol, Coll Metropolitan Transportat, 100 Pingleyuan, Beijing 100124, Peoples R China|Beijing Key Lab Transportat Engn, Beijing, Peoples R China;

    Beijing Univ Technol, Coll Metropolitan Transportat, 100 Pingleyuan, Beijing 100124, Peoples R China|Beijing Key Lab Transportat Engn, Beijing, Peoples R China;

    Beijing Univ Technol, Coll Metropolitan Transportat, 100 Pingleyuan, Beijing 100124, Peoples R China|Beijing Key Lab Transportat Engn, Beijing, Peoples R China;

    Beijing Univ Technol, Coll Metropolitan Transportat, 100 Pingleyuan, Beijing 100124, Peoples R China|Beijing Key Lab Transportat Engn, Beijing, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Detecting and locating of traffic incidents; lane-changing characteristics; lane-changing-out ratio; lane-changing points; optimal separating surface;

    机译:交通事故的检测与定位;换道特性;换道率;换道点;最优隔离面;

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