Comparison of the use of AIS data in the processing of ship trajectories using machine learning

The review provides an insight into research that uses machine learning methods with the aim of processing ship trajectories based on AIS data in water transport. Machine learning methods are used in the extraction, interpolation and classification of ship trajectories. Extraction of ship trajectories refers to the process of identifying and extracting the paths followed by vessels based on the AIS data. Interpolation of ship trajectories refers to the process of estimating the positions of vessels at times when no AIS data is available. This is typically done using mathematical algorithms that can predict the vessel's position based on its previous positions and other available information, such as its speed and direction of travel. Classification of ship trajectories refers to the process of categorizing vessel trajectories based on their characteristics, such as their speed, direction, and other features. AIS is a tracking system used by ships and vessels to broadcast their position, speed, and other information to other ships and shore-based stations.