Exploiting AIS data for intelligent maritime navigation : a comprehensive survey from data to methodology

• Main Authors: Tu, Enmei, Zhang, Guanghao, Rachmawati, Lily, Rajabally, Eshan, Huang, Guang-Bin
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Electrical and electronic engineering; Intelligent Maritime Navigation; AIS Data Survey
• Online Access: https://hdl.handle.net/10356/140040
• Institution: Nanyang Technological University

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 contain a wealth of information useful for maritime safety, security, and efficiency. Because of the close relationship between data and methodology in marine data mining and the importance of both of them in marine intelligence research, this paper surveys AIS data sources and relevant aspects of navigation in which such data are or could be exploited for safety of seafaring, namely traffic anomaly detection, route estimation, collision prediction, and path planning.