Risk Assessment and Traffic Behaviour Evaluation of Ships.

Recent advancements in information technology and ship equipment have allowed for the collection of large amounts of data on maritime traffic through automatic identification systems (AIS). This data is crucial for risk assessment and navigation safety, as it provides insights into ship behavior. Researchers have used machine learning and deep learning techniques to analyze AIS data and improve maritime safety. This document summarizes several research papers on topics such as ship classification, anomaly detection, ship grounding frequency estimation, performance-shaping factors in oil tanker operations, resource allocation in search and rescue, container ship stowage planning, and route identification in ice-covered waters. These papers contribute to the understanding of maritime safety and efficiency and provide recommendations for future research. [Extracted from the article]