Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey
Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally and, Guang-Bin Huang

TL;DR
This survey reviews how AIS data can be utilized for enhancing maritime navigation safety, security, and efficiency through various data-driven applications like anomaly detection and collision prediction.
Contribution
It provides a comprehensive overview of AIS data sources and explores their potential in improving maritime navigation safety and decision-making.
Findings
AIS data enables effective traffic anomaly detection
AIS data supports accurate route estimation and collision prediction
AIS data can be exploited for advanced path planning
Abstract
The Automatic Identification System (AIS) tracks vessel movement by means of electronic exchange of navigation data between vessels, with onboard transceiver, terrestrial and/or satellite base stations. The gathered data contains a wealth of information useful for maritime safety, security and efficiency. This paper surveys AIS data sources and relevant aspects of navigation in which such data is or could be exploited for safety of seafaring, namely traffic anomaly detection, route estimation, collision prediction and path planning.
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Taxonomy
TopicsMaritime Navigation and Safety · Underwater Vehicles and Communication Systems · Ship Hydrodynamics and Maneuverability
