Abstract
In this work, we present a novel approach for short-term vessel movement predictions in real world maritime conditions, based on an Adaptive Neuro Fuzzy Inference System. The proposed system uses real world vessel position recordings, reported by the Automatic Identification System and is capable of highly accurate future vessel position forecasting (Latitude and Longitude). The obtained results of the Adaptive Neuro Fuzzy Inference System model are compared with those of related statistical geospatial time series forecasting models, such as ARIMA and Artificial Neural Networks in order to validate the effectiveness of the proposed approach.
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