Spatiotemporal dynamic network for regional maritime vessel flow prediction amid COVID-19

The COVID-19 pandemic has stifled international trade and the global maritime industry. Its impact on the routing of the regional vessel traffic flow provides supportive data to port authorities, ship owners, shippers, and consignees. This study proposes a spatiotemporal dynamic graph neural network...

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Detalles Bibliográficos
Autores principales: Zhao, Chuan, Li, Xin, Zuo, Min, Mo, Lipo, Yang, Changchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553475/
https://www.ncbi.nlm.nih.gov/pubmed/36250134
http://dx.doi.org/10.1016/j.tranpol.2022.09.029

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553475/
https://www.ncbi.nlm.nih.gov/pubmed/36250134
http://dx.doi.org/10.1016/j.tranpol.2022.09.029

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