Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology
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.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
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Supplemental Notes:
- Copyright © 2018, IEEE.
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Authors:
- Tu, Enmei
- Zhang, Guanghao
- Rachmawati, Lily
- Rajabally, Eshan
- Huang, Guang-Bin
- Publication Date: 2018-5
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 1559-1582
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Serial:
- IEEE Transactions on Intelligent Transportation Systems
- Volume: 19
- Issue Number: 5
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 1524-9050
- Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979
Subject/Index Terms
- TRT Terms: Algorithms; Automatic vehicle detection and identification systems; Crash avoidance systems; Data mining; Intelligent transportation systems; Navigation systems; Neural networks; Routes and routing; Ship pilotage; Trajectory control
- Subject Areas: Data and Information Technology; Marine Transportation; Planning and Forecasting; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01671074
- Record Type: Publication
- Files: TLIB, TRIS
- Created Date: May 29 2018 5:18PM