Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping

Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping

Perceiving the future trend of Vessel Traffic Flow (VTF) in advance has great application values in the maritime industry. However, using such big data from the Automatic Identification System (AIS) for accurate VTF prediction remains challenging. Deep training networks can learn valuable features f...

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Bibliographic Details
Main Authors: Li, Yan, Liang, Maohan, Li, Huanhuan, Yang, Zaili, Du, Liang, Chen, Zhongshuo
Other Authors: School of Civil and Environmental Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Vessel traffic flow prediction
Automatic identification system
Online Access:https://hdl.handle.net/10356/174055

Internet

https://hdl.handle.net/10356/174055

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