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• W4380841288 endingPage "114916" @default.
• W4380841288 startingPage "114916" @default.
• W4380841288 abstract "An accurate vessel trajectory prediction can improve safety management at sea. Although the vessels' trajectories can be affected by complex and high dimensional context factors such as wind, wave size, and current, the research in incorporating them in trajectory prediction is still burgeoning. This paper proposes a context-aware data-driven framework for vessel trajectory prediction. In this regard, trajectories are enriched with context information at the first stage. This includes evaluating methods of trajectory annotation. Next, feature selection techniques are applied to solve the problems caused by high dimensionality, i.e., incensement in the complexity and the computational load. Finally, selected factors are used in a Context-aware Long Short-Term Memory (CLSTM) network. The implementations on the Automatic Identification System (AIS), weather, and ocean condition dataset around the English Channel collected during February 2016, indicated that the spline interpolation is suitable for trajectory annotation. Water depth, wave direction, and height are the most influencing context in vessels’ data-driven movement prediction. The predictions made by the proposed framework are 15.31% more accurate than the prediction of a Long Short-Term Memory (LSTM) network. Therefore, the proposed context-aware trajectory prediction framework might suit maritime systems and applications like collision avoidance, vessel route planning, and anomaly detection." @default.
• W4380841288 created "2023-06-16" @default.
• W4380841288 creator A5002976789 @default.
• W4380841288 creator A5036605286 @default.
• W4380841288 creator A5076329659 @default.
• W4380841288 date "2023-08-01" @default.
• W4380841288 modified "2023-10-16" @default.
• W4380841288 title "A context-aware approach for vessels’ trajectory prediction" @default.
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• W4380841288 doi "https://doi.org/10.1016/j.oceaneng.2023.114916" @default.
• W4380841288 hasPublicationYear "2023" @default.
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