Navigating the Future: A Comprehensive Review of Vessel Trajectory Prediction Techniques.

Abstract

Autonomous ships will be an inevitable part of the maritime transportation industry. The maritime industry is working to ensure a safe and secure transition towards autonomous and effective vessel navigation. This paper presents a brief review of the Automatic Identification System (AIS) based Artificial Intelligence studies done in the domain of vessel trajectory prediction. Vessel trajectory prediction has significance in ensuring maritime safety, collision avoidance, and efficient trajectory selection. This paper thoroughly reviews various trajectory prediction methodologies used for training the models, the performance of models, and an in-depth discussion about the comparison of models using evaluation metrics. The study includes categorical analytics for the prediction techniques. The findings of this paper summarize various vessel trajectory prediction methodologies.
Subjects
AUTOMATIC identification; ARTIFICIAL intelligence; MARITIME safety; MACHINE learning; DATA analytics; AUTOMATIC classification

Description