Vessel Trajectory Prediction Using Vessel Influence Long Short-Term Memory with Uncertainty Estimation

Vessel Trajectory Prediction Using Vessel Influence Long Short-Term Memory with Uncertainty Estimation

Vessel trajectory prediction plays a crucial role in ensuring the safety and efficiency of maritime transportation. This study proposes an innovative sequence-to-sequence model, called the Vessel Influence Long Short-Term Memory (VI-LSTM), which introduces a novel Vessel Influence Map (VIM) to quant...

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Bibliographic Details
Main Authors: Zhiyuan Guo, Huimin Qiang, Xiaodong Peng
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Journal of Marine Science and Engineering
Subjects:
trajectory prediction
vessel influence map
uncertainty estimation
multifactor prediction
temporally weighted hybrid loss function
Online Access:https://www.mdpi.com/2077-1312/13/2/353
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