Ship-Route Prediction Based on a Long Short-Term Memory Network Using Port-to-Port Trajectory Data

In this study, a ship-route prediction model based on a long short-term memory network using port-to-port trajectory data is presented. Data from a traditional automatic identification system—often used for ship-route prediction—are limited by uneven sampling intervals and noise. To address these is...

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Bibliographic Details

Published in:	Journal of Marine Science and Engineering
Main Authors:	Hyeong-Tak Lee, Hyun Yang
Format:	Article
Language:	English
Published:	MDPI AG 2024-12-01
Subjects:	ship-route prediction port-to-port ship trajectory long short-term memory networks equal-interval onboard data liner vessel
Online Access:	https://www.mdpi.com/2077-1312/12/12/2241