Browsing SINTEF Digital by Subject "Urban traffic flow data"
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Intelligent deep fusion network for urban traffic flow anomaly identification
(Peer reviewed; Journal article, 2022)This paper presents a novel deep learning architecture for identifying outliers in the context of intelligent transportation systems. The use of a convolutional neural network with an efficient decomposition strategy is ...