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Recognition and tracking of spatial-temporal congested traffic patterns on freeways

机译:高速公路时空拥挤交通模式的识别与跟踪

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摘要

The two models FOTO (Forecasting of Traffic Objects) and ASDA (Automatische Staudynamikanalyse: Automatic Tracking of Moving Traffic Jams) for the automatic recognition and tracking of congested spatial-temporal traffic flow patterns on freeways are presented. The models are based on a spatial-temporal traffic phase classification made in the three-phase traffic theory by Kerner. In this traffic theory, in congested traffic two different phases are distinguished: "wide moving jam" and "synchronized flow". The model FOTO is devoted to the identification of traffic phases and to the tracking of synchronized flow. The model ASDA is devoted to the tracking of the propagation of moving jams. The general approach and the different extensions of the models FOTO and ASDA are explained in detail. It is stressed that the models FOTO and ASDA perform without any validation of model parameters in different environmental and traffic conditions. Results of the online application of the models FOTO and ASDA at the TCC (Tra fic Control Center) of Hessen near Frankfurt (Germany) are presented and evaluated.
机译:介绍了用于自动识别和跟踪高速公路上拥挤的时空交通流模式的两种模型:FOTO(交通对象的预测)和ASDA(自动交通拥堵自动跟踪)。这些模型基于Kerner在三相交通理论中进行的时空交通阶段分类。在这种交通理论中,在拥挤的交通中,分为两个不同的阶段:“大范围堵塞”和“同步流”。 FOTO模型专用于交通阶段的识别和同步流的跟踪。 ASDA模型专门用于跟踪移动果酱的传播。详细说明了FOTO和ASDA模型的一般方法和不同扩展。需要强调的是,在不同的环境和交通条件下,FOTO和ASDA模型的执行无需对模型参数进行任何验证。呈现并评估了FOTO和ASDA模型在法兰克福附近的黑森(德国)的TCC(运输控制中心)上的在线应用结果。

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