Abstract
PurposeA new model based approach for the traffic congestion detection in time series of airborne optical digital camera images is proposed.MethodsIt is based on the estimation of the average vehicle speed on road segments. The method puts various techniques together: the vehicle detection on road segments by change detection between two images with a short time lag, the usage of a priori information such as road data base, vehicle sizes and road parameters and a simple linear traffic model based on the spacing between vehicles.ResultsThe estimated speed profiles from experimental data acquired by an airborne optical sensor - 3K camera system - coincide well with the reference measurements.ConclusionsExperimental results show the great potential of the proposed method for the detection of traffic congestion on highways in along-track scenes.
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