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

Published: 01 Jan 2023, Last Modified: 06 Aug 2024Eng. Appl. Artif. Intell. 2023EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Multi-perspective systematic analysis of ship trajectory prediction research.•Comparative analysis of eleven methods to reveal their advantages and disadvantages.•Applicability of the eleven extracted methods under difficult circumstances.•New solutions to STP for future hybrid traffic of manned and unmanned ships.
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