TG-PGAT: An AIS Data-Driven Dynamic Spatiotemporal Prediction Model for Ship Traffic Flow in the Port

Accurate prediction of ship traffic flow is essential for developing intelligent maritime transportation systems. To address the complexity of ship traffic flow data in the port and the challenges of capturing its dynamic spatiotemporal dependencies, a dynamic spatiotemporal model called Temporal co...

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Detalhes bibliográficos

Principais autores:	Jianwen Ma, Yue Zhou, Yumiao Chang, Zhaoxin Zhu, Guoxin Liu, Zhaojun Chen
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-10-01
coleção:	Journal of Marine Science and Engineering
Assuntos:	port ship traffic flow prediction Automatic Identification System (AIS) data dynamic spatiotemporal features
Acesso em linha:	https://www.mdpi.com/2077-1312/12/10/1875
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