Multi-dimensional Prediction of Ship Track with AIS Data Augmentation

The accuracy of one-step-ahead prediction is improved in two ways: reducing noise interference by the aid of AIS（Automatic Identification System） data and introducing historical information to the prediction process. The current motion measurements are corrected according to AIS information at adjacent time and then fused with historical track in terms of space and time with LSTM（Long Short-Term Memory） algorithm to get final prediction. The track prediction model and area prediction model are built. The models are verified through simulation.