Anomalous vessel behavior detection based on SVR seaway model

Abstract

The identification of anomalous behavior of own vessel and its targets is one of the most important task to ensure safety of navigation. In particular, it is essential to determine the anomalous behavior of a ship in the decision-making process. The existing anomalous behavior detection method defines the anomalous behavior by judging the abrupt changes of a ship's movement. However, the navigational data that observed in actual marine accidents were often showed as a normal condition. It means that if there were persistent differences at certain duration, the accumulated data could become large enough to cause of an accident. In this study, the ship's anomalous behavior was determined based on the SVR seaway model and its route extraction method. It was intended to propose a method of defining acceptable maximum and minimum values to determine the anomalous behavior by assigning navigational data to the location basis. For the verification of the proposed method, it was constructed that virtual route and targets which are similar to the actual navigational environment. As a result of the simulation, anomaly detection data on the anomalous behavior were presented. It is expected that the proposed method could be a decision-making support tool to mariners and contributes to the reduction of marine accidents related on the anomalous behavior.