Vessel Trajectory Prediction Based on Automatic Identification System Data: Multi-Gated Attention Encoder Decoder Network

Utilizing time-series data from ship trajectories to forecast their subsequent movement is crucial for enhancing the safety within maritime traffic environments. The application of deep learning techniques, leveraging Automatic Identification System (AIS) data, has emerged as a pivotal area in marit...

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Veröffentlicht in:	Journal of marine science and engineering Jg. 12; H. 10; S. 1695
Hauptverfasser:	Yang, Fan, He, Chunlin, Liu, Yi, Zeng, Anping, Hu, Longhe
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.10.2024
Schlagworte:	Accuracy AIS data Artificial intelligence Benchmarks Coders Deep learning Efficiency encoder–decoder model Energy consumption Error reduction Forecasting techniques Global positioning systems GPS Identification systems Kalman filters Long short-term memory Machine learning Neural networks Predictions Sea vessels Support vector machines Time series Traffic analysis vessel trajectory prediction
ISSN:	2077-1312, 2077-1312
Online-Zugang:	Volltext
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