, Technical characteristics for an automatic identification system using time-division multiple access in the VHF maritime mobile band, International Telecommunications Union (ITU) Recommendation ITU-RM, pp.1371-1375, 2010.

, Safety of life at sea (solas) convention chapter

P. G. , V. M. , and B. K. , Traffic Route Extraction and Anomaly Detection from AIS Data, Proceedings of the International COST MOVE Workshop on Moving Objects at Sea, 2013.

M. F. , V. M. , and D. D. , Discovering vessel activities at sea using AIS data: Mapping of fishing footprints, Proceedings of the 16th International Conference on Information Fusion, pp.1-7, 2014.

R. B. Scala-b-l and M. M. , Statistical analysis of motion patterns in AIS data: Anomaly detection and motion prediction, Proceedings of the 11th International Conference on Information Fusion, pp.1-7, 2008.

V. and S. M. , Machine learning for vessel trajectories using compression, alignments and domain knowledge, In: Expert Systems with Applications, vol.39, issue.18, pp.13426-13439, 2012.

V. M. , V. I. , and B. K. , Unsupervised learning of maritime traffic patterns for anomaly detection, Proceedings of the 9th IET Data Fusion & Target Tracking Conference: Algorithms & Applications, pp.1-5, 2012.

G. and L. X. , Unsupervised Extraction of Knowledge from S-AIS Data for Maritime Situational Awareness, Proceedings of the 16th International Conference on Information Fusion, pp.2025-2032, 2013.

P. G. , V. M. , and B. K. , Vessel pattern knowledge discovery from ais data: A framework for anomaly detection and route prediction, In: Entropy, vol.15, issue.6, pp.2218-2245, 2013.

P. G. , V. M. , and B. K. , Traffic knowledge discovery from ais data, Proceedings of the 16th International Conference on Information Fusion, pp.1996-2003, 2013.

D. F. and G. S. Deng-y, Vessel track information mining using AIS data, Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI), pp.1-6, 2014.

W. F. , Data Fusion Perspectives and Its Role in Information Processing In: Handbook of Multisensor Data Fusion, pp.15-43, 2009.

A. R. , Data Fusion Automation: A Top-Down Perspective In: Handbook of Multisensor Data Fusion, pp.137-163, 2009.

S. , N. , and B. , Revisions to the JDL data fusion model In: Handbook of Multisensor Data Fusion, pp.45-67, 2009.

H. and L. J. , An introduction to multisensor data fusion, Proceedings of the IEEE, pp.6-23, 1997.

1. Greidanus-h and A. M. Eriksen-t, Website of AIS data services provided by CTTIC: http://www.myships.com/ShipLBS/index_en.html 17 Basin-Wide Maritime Awareness From Multi-Source Ship Reporting Data, In: TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, vol.7, issue.2, pp.35-42, 2103.

H. Wall-a and B. P. , Automatic Identification System (AIS): A Human Factors Approach Available: http Data Fusion for Wide- Area Maritime Surveillance, Proceeding of COST MOVE Workshop on Moving Objects at Sea, 2013.

P. G. Horn-s and . Braca-p, Context-enhanced vessel prediction based on Ornstein-Uhlenbeck processes using historical AIS traffic patterns: Real-world experimental results, Proceedings of 17th International Conference on Information Fusion, pp.1-7, 2014.

A. R. Falcon-r and B. E. , Behavioral learning of vessel types with fuzzy-rough decision trees, Proceedings of 17th International Conference on Information Fusion, pp.1-8, 2104.

L. J. , G. , H. J. , and W. , Trajectory clustering: a partition-and-group framework, Proceedings of ACM SIGMOD international conference on Management of data, pp.593-604, 2007.

H. M. , S. , and W. S. , Maritime traffic data mining using R, Proceedings of 16th International Conference on Information Fusion, pp.2041-2048, 2103.

B. , L. F. , and M. R. , A decision-making system to maritime risk assessment, In: Ocean Engineering, vol.38, issue.1, pp.171-176, 2011.

M. S. Nicholso-a-e and K. , Anomaly detection in vessel tracks using Bayesian networks, International Journal of Approximate Reasoning, vol.55, issue.1, pp.84-98, 2014.

L. R. , O. Nevell-d-a, and . Hayward-s-d, Maritime anomaly detection and threat assessment, Proceedings of 13th International Conference on Information Fusion, pp.1-8, 2010.

C. F. Palmieri-f-a and . Bastani-v, Abnormal vessel behavior detection in port areas based on Dynamic Bayesian Networks, Proceedings of 17th International Conference on Information Fusion, pp.1-7, 2014.

L. Wu, X. J. Xu, and Q. Wang, Mapping Global Shipping Density from AIS Data, Journal of Navigation, vol.10, issue.01, 2016.
DOI : 10.1017/S0373463307004298

X. B. Wu, L. Wu, and Y. Xu, Vessel trajectory partitioning based on hierarchical fusion of position data, Proceedings of 18th International Conference on Information Fusion, pp.1230-1237, 2015.

F. Natale, M. Gibin, and A. Alessandrini, Mapping Fishing Effort through AIS Data, PloS one, pp.1-16, 2015.
DOI : 10.1371/journal.pone.0130746.g007

R. O. Lane, D. A. Nevell, and S. D. Hayward, Maritime anomaly detection and threat assessment, 2010 13th International Conference on Information Fusion, pp.1-8, 2010.
DOI : 10.1109/ICIF.2010.5711998