Publications

Rong, H., Teixeira, A. P. and Guedes Soares, C. (2022), “Ship abnormal behaviour detection off the continental coast of Portugal”, Trends in Maritime Technology and Engineering, Guedes Soares, C. & Santos T.A. (Eds.), Taylor and Francis, London, UK, Vol. 2, pp. 143-150.

In alternative to rule-based positional anomalies that do not explicitly rely on historical maritime traffic information, a data-driven method for ship anomaly detection is proposed. The approach is derived from a maritime traffic normalcy model that is constructed based on historical ship trajectories provided by Automatic Identification System data. Positional and motion abnormal behaviours are formulated probabilistically based on statistical models of the lateral distribution of the ships’ trajectories and their motion characteristics such as speed and course changes along the routes. The approach is applied to historical maritime traffic data off the continental coast of Portugal.

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