Predict Vessel Traffic with Weather Conditions Based on Multimodal Deep Learning

Vessel management calls for real-time traffic flow prediction, which is difficult under complex circumstances (incidents, weather, etc.). In this paper, a multimodal learning method named Prophet-and-GRU (P&G) considering weather conditions is proposed. This model can learn both features of the long...

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Autors principals:	Hu Xiao, Yan Zhao, Hao Zhang
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-12-01
Col·lecció:	Journal of Marine Science and Engineering
Matèries:	vessel traffic prediction STL Prophet attention multimodal learning
Accés en línia:	https://www.mdpi.com/2077-1312/11/1/39
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