Learning a Model of Ship Movements

In very large seaports, where many ships are entering and leaving the port, collision avoidance is of utmost importance. A system used to quickly identify ships and to provide additional information is the Automatic Identification System (AIS). Data Mining methods may be employed to mine AIS trajectory data for patterns to create a model capable of predicting future events, which can be used as an extra aid for situational awareness. Two classification methods are proposed and described to create such model. The final port of a ship entering a large sea port is chosen as future event to predict. Both presented classification methods significantly outperform the baseline method. 2