Equidistant spatial-temporal division is used in the detection of a traffic anomaly. A spatial-temporal subzone is created by dividing one day into several time segments of 30 minutes, each defined as a time subzone; dividing one implemented area into several spatial segments of 200m x 200m, each defined as a spatial subzone; and defining an intersection of one time subzone and one spatial subzone as a spatial-temporal subzone. Historical and real-time GNSS positioning data of floating vehicles is respectively pre-processed into sampled historical and real-time vehicle speed data relating to historical and real-time trajectories. These are used in a finite mixed modelling method to establishing respective historical and real-time travel speed probability distributions. Jensen-Shannon divergence is then used to measure a difference between said historical and real-time travel speed probability distributions and an anomaly index of traffic conditions is determined from said difference. The accuracy of said anomaly index is then evaluated.
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机译:等距时空划分用于交通异常检测。通过将一天分为30分钟的几个时间段来创建时空分区,每个时间段都定义为一个时间分区;将一个实施区域划分为200m x 200m的几个空间段,每个空间段定义为一个空间子区域;将一个时间子区域和一个空间子区域的交集定义为时空子区域。将浮动车辆的历史和实时GNSS定位数据分别预处理为与历史和实时轨迹有关的采样历史和实时车速数据。这些用于有限混合建模方法中,以建立各自的历史和实时行进速度概率分布。然后,使用詹森-香农(Jensen-Shannon)散度测量所述历史和实时行进速度概率分布之间的差异,并根据所述差异确定交通状况的异常指数。然后评估所述异常指数的准确性。
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