Method And Apparatus for Predicting Vessel Destination by Using Port Data based on Deep Learning Algorithm

摘要

Disclosed are a ship destination prediction method and apparatus using port data based on a deep learning algorithm. The present embodiment predicts the destination of a ship entering the port based on past entry data without prior information, and predicts the destination for a ship whose port entry or a ship destination is unclear, thereby preventing marine accidents, and destinations of a plurality of ships. The present invention provides a method and apparatus for predicting ship destinations using port data based on deep learning algorithms that can be used for maritime traffic management such as maritime traffic simulation and sea safety.