Research on Offshore Ship Trajectory Prediction and Accuracy Optimization Based on Dual-Layer LSTM-Transformer Model

The maritime risks faced by the shipping industry, as an essential pillar of global trade, are increasing with the number of ships. Ship trajectory prediction is crucial for navigation safety, but the current prediction accuracy still needs to be improved. In this paper, we propose a dual-layer LSTM-Transformer hybrid model that combines the long-time memory of the Long Short-Term Memory (LSTM) model and the Multi-Head Attention mechanism of the Transformer model. The model demonstrates lower error and higher ship trajectory prediction accuracy than traditional models.

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Publication Details

Published
2024-11-04
DOI
https://doi.org/10.1109/csrswtc64338.2024.10811551
Citations
1
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
0.34
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Research on Offshore Ship Trajectory Prediction and Accuracy Optimization Based on Dual-Layer LSTM-Transformer Model

Yadi Fu, Lin Gao, Ruimin Jin, Chao Han et al.
1 citations
Maritime Navigation and Safety
0.34
article

Research on Offshore Ship Trajectory Prediction and Accuracy Optimization Based on Dual-Layer LSTM-Transformer Model

Yadi Fu, Lin Gao, Ruimin Jin, Chao Han, Hui Li, Dandan Wang
article en
1 citations

Abstract

The maritime risks faced by the shipping industry, as an essential pillar of global trade, are increasing with the number of ships. Ship trajectory prediction is crucial for navigation safety, but the current prediction accuracy still needs to be improved. In this paper, we propose a dual-layer LSTM-Transformer hybrid model that combines the long-time memory of the Long Short-Term Memory (LSTM) model and the Multi-Head Attention mechanism of the Transformer model. The model demonstrates lower error and higher ship trajectory prediction accuracy than traditional models.

Shandong University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 37%
Maritime Navigation and Safety
0.34
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Research on Offshore Ship Trajectory Prediction and Accuracy Optimization Based on Dual-Layer LSTM-Transformer Model — Yadi Fu, Lin Gao, et al. · (2024) | TGRS Research Map | TGRS