Vessel Trajectory Prediction Using Radial Basis Function Neural Networks

This work presents a novel data-driven modeling approach for the direct prediction of a vessel’s trajectory through the use of AIS data. The proposed method is based on radial basis function neural networks trained with the fuzzy means algorithm, a combination which produces models of high accuracy and simple structures. The produced model is applied on real AIS data in order to approximate the be...