Systematic Review of AIS Based Trajectory Prediction Models

This paper presents a comprehensive review of Automatic Identification System (AIS) trajectory prediction models. AIS is a vital technology used in maritime domains for vessel tracking and collision avoidance. Accurate trajectory prediction is crucial for ensuring maritime safety, efficient navigation, and resource management. This study systematically analyzes various AIS trajectory prediction models proposed in the literature, categorizing them based on their underlying methodologies, data sources, prediction horizons, and evaluation metrics. The review discusses the strengths, limitations, and potential applications of each model, highlighting their performance and suitability for different maritime scenarios. The findings of this review contribute to the understanding of AIS trajectory prediction and provide valuable insights for future research and development in this field.