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Spatiotemporal DeepWalk Gated Recurrent Neural Network: A Deep Learning Framework for Traffic Learning and Forecasting

As a typical spatiotemporal problem, there are three main challenges in traffic forecasting. First, the road network is a nonregular topology, and it is difficult to extract complex spatial dependence accurately. Second, there are short- and long-term dependencies between traffic dates. Third, there...

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Autors principals: Jian Yang, Jinhong Li, Lu Wei, Lei Gao, Fuqi Mao
Format: Artigo
Idioma:Inglês
Publicat: Hindawi-Wiley 2022-01-01
Col·lecció:Journal of Advanced Transportation
Accés en línia:http://dx.doi.org/10.1155/2022/4260244
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