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首页> 外文会议>18th world congress on intelligent transport systems : Featuring its america's annual meeting and exposition >URBAN EXPRESSWAY AUTOMATIC INCIDENT DETECTION BASED ON TRAFFIC FLOW DENSITY
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URBAN EXPRESSWAY AUTOMATIC INCIDENT DETECTION BASED ON TRAFFIC FLOW DENSITY

机译：基于交通流量密度的城市高速公路自动事件检测

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摘要

Urban expressways play an important role in urban road networks. Although automatic incidentrndetection (AID) methods have been studied for a long time, most of the existing AID algorithmsrnare designed for freeways and not explicitly consider the detection of incidents near ramps underrnfrequent in and out flows. However, urban express ways usually have short spaced on ramps andrnoff ramps, which makes the traffic flow characterizes quite different from the ones of freeways.rnIn addition, expressways usually have heavy traffic flow, which makes it more difficult torndistinguish incidents from congestions.rnThis paper presents an automatic incident detection (AID) method for urban expressways, usingrnloop detector data. An expressway is divided into short segments based on detector locations andrnthe geometric conditions. The volume and occupancy data from the loop detectors are used torndetermine the upstream and downstream density difference for a specific segment. The incidentrnwarming is triggered by the significant change of the density difference. An experiment wasrnconducted to investigate the performance of this method, using actual incident data fromrnShanghai, China. The results indicate that this method has good performance and is suitable forrnurban expressways.
机译：城市高速公路在城市道路网络中发挥着重要作用。尽管已经对自动事件检测（AID）方法进行了很长时间的研究，但是大多数现有的AID算法都是为高速公路设计的，并且没有明确考虑在进出流量少的匝道附近检测事件。但是，城市高速公路通常在匝道和通行匝道之间的距离很短，这使得交通流量的特征与高速公路的特征截然不同。此外，高速公路通常交通流量大，这使得区分拥堵事件变得更加困难。提出了一种使用环路检测器数据的城市高速公路自动事件检测（AID）方法。根据检测器的位置和几何条件，将高速公路分为短段。来自环路检测器的体积和占用数据用于确定特定段的上游和下游密度差。变暖是由密度差的显着变化触发的。利用来自中国上海的实际事件数据，进行了实验以研究该方法的性能。结果表明，该方法性能良好，适用于城市高速公路。

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