HD‐Net: A hybrid dynamic spatio‐temporal network for traffic flow prediction
Lijuan Liu,
Fengzhi Wang,
Hang Liu
et al.
Abstract:Accurately predicting traffic flow is crucial for intelligent transportation systems (ITS). In recent years, many deep learning‐based prediction models have been widely applied in traffic flow prediction, and various spatio‐temporal networks have been proposed. However, most of the existing models follow a general technical route to extract the spatio‐temporal features, which lack the capacity of extracting the important historical information with the high spatial and temporal correlations dynamically and dee… Show more
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