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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Journal of marine science and engineering Ročník 12; číslo 10; s. 1695
Hlavní autoři:	Yang, Fan, He, Chunlin, Liu, Yi, Zeng, Anping, Hu, Longhe
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.10.2024
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!