Past, present, and future of the satellite-based automatic identification system: areas of applications (2004–2016)

In 2016, the world shipping fleet grew by 3.5%. Even if the annual growth rate remains at its lowest since 2013, the global situation is still in overcapacity (UNCTAD 2016). Ninety percent of global trade, by volume, is done by sea. Monitoring this fleet helps with vessel navigation, informing to help avoid critical situations such as collisions, accidents leading to oil pollution, grounding, or ships in distress, but also because traffic management in congested areas is essential. For system wide management, in regions such as MPAs (marine protected areas), conservation is the key factor, and movements can be monitored and analyzed in order to determine illegal or suspicious activities, or in order to limit and/or divert traffic, to mitigate the risks to species subject to protection. It is among these efforts that the automatic identification system (AIS) can play a key role. Since 2004, this VHF transceiver-based reporting system, imposed by the International Maritime Organization (IMO), has shifted from a traditional vessel identification device to a tool used in a wide variety of applications. The most common uses are safety and security; these issues are quite visible in the media and may touch more people on a global scale (e.g., piracy, oil spills). Over the years, AIS has become, especially with the emergence of the satellite-based capture of the signal in 2011, a widely used tool for developing applications such as fisheries monitoring, marine conservation, air pollution forecasting and modeling, ballast water monitoring, invasive species transport, and many more. In this paper, we propose to review the peer-reviewed publications related to the uses and applications of the AIS.

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[20]  Michael Edwards,et al.  Automatic Identification System (AIS) User Requirements , 2000 .

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[32]  Fabrizio Natale,et al.  Mapping Fishing Effort through AIS Data , 2015, PloS one.

[33]  G. Coppini,et al.  Regional approach to modeling the transport of floating plastic debris in the Adriatic Sea. , 2016, Marine pollution bulletin.

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[37]  Cyril Ray,et al.  Continuous detection of black holes for moving objects at sea , 2016, IWGS@SIGSPATIAL.

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[46]  Alexander O. MacGillivray,et al.  Mapping cumulative noise from shipping to inform marine spatial planning. , 2012, The Journal of the Acoustical Society of America.

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[48]  Jakub Montewka,et al.  Assessing Grounding Frequency using Ship Traffic and Waterway Complexity , 2014, Journal of Navigation.

[49]  Iain P A Stitt,et al.  AIS and Collision Avoidance – a Sense of Déjà Vu , 2004, Journal of navigation.

[50]  Jakub Montewka,et al.  A method for detecting possible near miss ship collisions from AIS data , 2015 .

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[52]  Thomas Devogele,et al.  Spatio-temporal trajectory analysis of mobile objects following the same itinerary , 2010 .

[53]  Clément Iphar,et al.  Detection of false AIS messages for the improvement of maritime situational awareness , 2015, OCEANS 2015 - MTS/IEEE Washington.

[54]  M. Wieser,et al.  Space-based detection of AIS signals: Results of a feasibility study into an operational space-based AIS system , 2010, 2010 5th Advanced Satellite Multimedia Systems Conference and the 11th Signal Processing for Space Communications Workshop.

[55]  Per Olaf Brett,et al.  Prevention of oil spill from shipping by modelling of dynamic risk. , 2007, Marine pollution bulletin.

[56]  Fabio Mazzarella,et al.  Discovering vessel activities at sea using AIS data: Mapping of fishing footprints , 2014, 17th International Conference on Information Fusion (FUSION).

[57]  Egils Sviestins,et al.  Rule-based situation assessment for sea surveillance , 2006, SPIE Defense + Commercial Sensing.

[58]  Nathan D. Merchant,et al.  Assessing sound exposure from shipping in coastal waters using a single hydrophone and Automatic Identification System (AIS) data. , 2012, Marine Pollution Bulletin.

[59]  Thomas Mestl,et al.  Identifying and Analyzing Safety Critical Maneuvers from High Resolution AIS Data , 2016 .

[60]  A. Knowlton,et al.  Response by vessel operators to protection measures for right whales Eubalaena glacialis in the southeast US calving ground , 2011 .

[61]  Paolo Braca,et al.  Detection of malicious AIS position spoofing by exploiting radar information , 2013, Proceedings of the 16th International Conference on Information Fusion.

[62]  Monica Posada,et al.  Maritime awareness for counter-piracy in the Gulf of Aden , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

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[64]  Jay A. Creech,et al.  AIS The Cornerstone of National Security? , 2003, Journal of Navigation.

[65]  Alain Bouju,et al.  DeAIS project: Detection of AIS spoofing and resulting risks , 2015, OCEANS 2015 - Genova.

[66]  Aldo Napoli,et al.  Toward User-Centred Geovisual Analytics in Maritime Surveillance , 2013 .

[67]  Lars Linsen,et al.  Generating real-time objects for a bridge ship-handling simulator based on automatic identification system data , 2017, Simul. Model. Pract. Theory.

[68]  Huanxin Zou,et al.  Ship Surveillance by Integration of Space-borne SAR and AIS – Review of Current Research , 2014 .

[69]  Aldo Napoli,et al.  Data Quality Assessment for Maritime Situation Awareness , 2015 .

[70]  P. Silveira,et al.  Use of AIS Data to Characterise Marine Traffic Patterns and Ship Collision Risk off the Coast of Portugal , 2013, Journal of Navigation.

[71]  Junzhong Bao,et al.  Impacts of automatic identification system on collision avoidance and the need for training , 2004 .

[72]  C. Taggart,et al.  Efficacy of a Voluntary Area to Be Avoided to Reduce Risk of Lethal Vessel Strikes to Endangered Whales , 2009, Conservation biology : the journal of the Society for Conservation Biology.

[73]  Manfred Schrenk,et al.  Information Fusion and Geographic Information Systems, Proceedings of the Fourth International Workshop, IF&GIS 2009, 17-20 May 2009, St. Petersburg, Russia , 2009, IF&GIS.

[74]  The effect of sound speed profile on shallow water shipping sound maps. , 2016, The Journal of the Acoustical Society of America.

[75]  Lars Linsen,et al.  How automatic identification system (AIS) antenna setup affects AIS signal quality , 2015 .

[76]  Luca Cazzanti,et al.  Mining maritime vessel traffic: Promises, challenges, techniques , 2015, OCEANS 2015 - Genova.

[77]  Guido Ferraro,et al.  On the SAR derived alert in the detection of oil spills according to the analysis of the EGEMP. , 2010, Marine pollution bulletin.

[78]  A. Vandecasteele,et al.  Spatial ontologies for detecting abnormal maritime behaviour , 2012, 2012 Oceans - Yeosu.

[79]  W. Gullett,et al.  Anchors away? The impacts of anchor scour by ocean-going vessels and potential response options , 2016 .

[80]  J. M. van der Hoop,et al.  Absolute probability estimates of lethal vessel strikes to North Atlantic right whales in Roseway Basin, Scotian Shelf. , 2012, Ecological applications : a publication of the Ecological Society of America.

[81]  Andreas Nordmo Skauen Quantifying the tracking capability of space-based AIS systems , 2016 .

[82]  B. Öztürk Some remarks of Illegal, Unreported and Unregulated (IUU) fishing in Turkish part of the Black Sea , 2013 .

[83]  Jean Roy,et al.  Anomaly detection in the maritime domain , 2008, SPIE Defense + Commercial Sensing.

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[85]  Chan-Soo Lee,et al.  On the Monitoring System of Collision Risks Among Multiple Ships , 2012 .

[86]  Paul B. Conn,et al.  Vessel speed restrictions reduce risk of collision-related mortality for North Atlantic right whales , 2013 .

[87]  Gudrun Høye,et al.  Space-based AIS for global maritime traffic monitoring , 2008 .

[88]  Kevin Fall,et al.  Enhancing AIS to improve whale-ship collision avoidance and maritime security , 2009, OCEANS 2009.

[89]  Tom Ziemke,et al.  VISAD: an interactive and visual analytical tool for the detection of behavioral anomalies in maritime traffic data , 2009, Defense + Commercial Sensing.

[90]  Fangliang Xiao,et al.  AIS DATA ANALYSIS FOR REALISTIC SHIP TRAFFIC SIMULATION MODEL , 2012 .

[91]  T. J. Moore,et al.  Spatial and Temporal Variability in Shipping Traffic Off San Francisco, California , 2015 .

[92]  Andrzej Felski,et al.  Information unfitness as a factor constraining Automatic Identification System (AIS) application to anti-collision manoeuvring , 2012 .

[93]  Trika Pitana,et al.  Implementation of Automatic Identification System (AIS) for Evaluation of Marine Traffic Safety in Strait of Malacca using Analytic Hierarchy Process (AHP) , 2012 .

[94]  Ketut Buda Artana,et al.  Probability of Ship on Collision Courses Based on the New PAW Using MMG Model and AIS Data , 2015 .

[95]  A. Mouche,et al.  Polluter identification with spaceborne radar imagery, AIS and forward drift modeling. , 2015, Marine pollution bulletin.

[96]  Brian Polagye,et al.  A vessel noise budget for Admiralty Inlet, Puget Sound, Washington (USA). , 2012, The Journal of the Acoustical Society of America.

[97]  Thomas Devogele,et al.  Maritime GIS: From Monitoring to Simulation Systems , 2007, IF&GIS.

[98]  Torkel Bjørnskau,et al.  Oil spill risk analysis of routeing heavy ship traffic in Norwegian waters , 2012 .

[99]  Torgeir Moan,et al.  Estimating Navigation Patterns from AIS , 2009, Journal of Navigation.

[100]  Thomas Devogele,et al.  Mobility Applications, Maritime Applications. Mobility data: Modeling, management, and understanding , 2013 .

[101]  Enrico Pirotta,et al.  Monitoring ship noise to assess the impact of coastal developments on marine mammals. , 2014, Marine pollution bulletin.

[102]  Gudrun Høye,et al.  Maritime traffic monitoring using a space-based AIS receiver , 2006 .

[103]  P. Terndrup Pedersen Review and application of ship collision and grounding analysis procedures , 2010 .

[104]  Christopher W. Clark,et al.  Impacts of anthropogenic noise on marine life : publication patterns, new discoveries, and future directions in research and management , 2015 .

[105]  Geoff Taylor,et al.  AIS – A Pilot's Perspective , 2004, Journal of Navigation.

[106]  G. Silber,et al.  Vessel operations in right whale protection areas in 2009 , 2010 .

[107]  Activity Patterns and Speeds of Large Cruise Ships in Southeast Alaska , 2015 .

[108]  D. Wiley Whale Alert: A Tool for Reducing Collisions Between Ships and Endangered Whales , 2015 .

[109]  G. Silber,et al.  The role of the International Maritime Organization in reducing vessel threat to whales: Process, options, action and effectiveness , 2012 .

[110]  Voronin,et al.  Intellectual GIS in Systems of Monitoring@@@Интеллектуальная ГИС в системах мониторинга , 2014 .

[111]  Fakhri Karray,et al.  Multisensor data fusion: A review of the state-of-the-art , 2013, Inf. Fusion.

[112]  M. Sciotti,et al.  Maritime multi-sensor data association based on geographic and navigational knowledge , 2008, 2008 IEEE Radar Conference.

[113]  Eiichi Kobayashi,et al.  Risk of Navigation for Marine Traffic in the Malacca Strait Using AIS , 2015 .

[114]  Per Olaf Brett,et al.  Intelligent ship traffic monitoring for oil spill prevention: risk based decision support building on AIS. , 2007, Marine pollution bulletin.

[115]  Aldo Napoli,et al.  An enhanced spatial reasoning ontology for maritime anomaly detection , 2012, 2012 7th International Conference on System of Systems Engineering (SoSE).

[116]  Bjørn T. Narheim,et al.  Tracking ship traffic with Space-Based AIS: Experience gained in first months of operations , 2010, 2010 International WaterSide Security Conference.

[117]  I. Harre AIS Adding New Quality to VTS Systems , 2000, Journal of Navigation.

[118]  Torgeir Moan,et al.  Combined maneuvering analysis, AIS and full-mission simulation , 2007 .

[119]  Brendan A. Wintle,et al.  A Global Scientific Workshop on Spatio-Temporal Management of Noise , 2007 .

[120]  R. Uiboupin,et al.  Detection of oil spills on SAR images, identification of polluters and forecast of the slicks trajectory , 2008, 2008 IEEE/OES US/EU-Baltic International Symposium.

[121]  Gudrun Høye Ship detection probability analysis for a possible long-range AIS system , 2005 .

[122]  M. Witt,et al.  Long-term monitoring of sound exposure from shipping in coastal waters , 2012 .

[123]  B.J. Tetreault,et al.  Use of the Automatic Identification System (AIS) for maritime domain awareness (MDA) , 2005, Proceedings of OCEANS 2005 MTS/IEEE.

[124]  Karol Listewnik Underwater noise generated by merchants ships in coastal waters of the Gulf of Gdansk , 2014 .

[125]  Andrzej Felski,et al.  The Integrity of Information Received by Means of AIS During Anti-collision Manoeuvring , 2013 .

[126]  Lars Linsen,et al.  Comprehensive Analysis of Automatic Identification System (AIS) Data in Regard to Vessel Movement Prediction , 2014 .

[127]  Kwang-Il Kim,et al.  Analysis of marine accident probability in Mokpo waterways , 2011 .

[128]  Maria Hänninen,et al.  Analysis of the marine traffic safety in the Gulf of Finland , 2009, Reliab. Eng. Syst. Saf..

[129]  Adam S Frankel,et al.  Quantifying Loss of Acoustic Communication Space for Right Whales in and around a U.S. National Marine Sanctuary , 2012, Conservation biology : the journal of the Society for Conservation Biology.

[130]  Michael T. Gastner,et al.  The risk of marine bioinvasion caused by global shipping. , 2013, Ecology letters.

[131]  Stephan Gollasch,et al.  Risk assessment and management scenarios for ballast water mediated species introductions into the Baltic Sea. , 2007 .

[132]  Michael T. Gastner,et al.  The complex network of global cargo ship movements , 2010, Journal of The Royal Society Interface.

[133]  N. Roy,et al.  Mapping probability of shipping sound exposure level. , 2015, The Journal of the Acoustical Society of America.

[134]  Göran Falkman,et al.  The role of visualization and interaction in maritime anomaly detection , 2011, Electronic Imaging.

[135]  G. Petrossian,et al.  Preventing illegal, unreported and unregulated (IUU) fishing: A situational approach , 2015 .

[136]  G. Pavan,et al.  Mapping shipping noise in the Pelagos Sanctuary (French part) through acoustic modelling to assess potential impacts on marine mammals , 2015 .

[137]  Megan F. McKenna,et al.  Blue Whale Response to Underwater Noise from Commercial Ships , 2011 .

[138]  Michele Vespe,et al.  Vessel Pattern Knowledge Discovery from AIS Data: A Framework for Anomaly Detection and Route Prediction , 2013, Entropy.

[139]  Antonio Moccia,et al.  SAR-based sea traffic monitoring: a reliable approach for maritime surveillance , 2011, Remote Sensing.

[140]  S. Wiggins,et al.  A quieting ocean: unintended consequence of a fluctuating economy. , 2012, The Journal of the Acoustical Society of America.

[141]  Ø. Endresen,et al.  Environmental accounting for Arctic shipping - a framework building on ship tracking data from satellites. , 2014, Marine pollution bulletin.

[142]  J. Gordon,et al.  Distribution patterns of blue whale (Balaenoptera musculus) and shipping off southern Sri Lanka , 2016 .

[143]  Christian S. Jensen,et al.  Efficient Vessel Tracking with Accuracy Guarantees , 2008, W2GIS.

[144]  Odile Delfour-Samama,et al.  Review of potential legal frameworks for effective implementation and enforcement of MPAs in the high seas , 2014 .

[145]  Yannis Theodoridis,et al.  Maritime data integration and analysis: recent progress and research challenges , 2017, EDBT.

[146]  H. Guzman,et al.  Potential vessel collisions with Southern Hemisphere humpback whales wintering off Pacific Panama , 2012 .

[147]  Regina Campbell-Malone,et al.  Gross and Histologic Evidence of Sharp and Blunt Trauma in North Atlantic Right Whales (Eubalaena glacialis) Killed by Vessels , 2008, Journal of zoo and wildlife medicine : official publication of the American Association of Zoo Veterinarians.

[148]  Andrzej Felski,et al.  Information Unfitness of AIS , 2012 .

[149]  C. Clark,et al.  Acoustic masking in marine ecosystems: intuitions, analysis, and implication , 2009 .

[150]  R. Shucksmith,et al.  A risk based approach to non-native species management and biosecurity planning , 2015 .

[151]  Steven Horn Detection and tracking of ships in the Canadian Arctic , 2015 .

[153]  Ming-Cheng Tsou,et al.  Discovering Knowledge from AIS Database for Application in VTS , 2010 .

[154]  J. Calambokidis,et al.  Association Between Blue Whale (Balaenoptera musculus) Mortality and Ship Strikes Along the California Coast , 2010 .

[155]  Ø. Helleren,et al.  Technology Reference and Proof-of-Concept for a Space -Based Automatic Identification System for Maritime Security , 2008 .

[156]  Marc West,et al.  AIS Analysis in Support of Counter-Piracy Operations , 2010 .

[157]  C. Gravel,et al.  Mitigating vessel strikes: The problem of the peripatetic whales and the peripatetic fleet , 2016 .

[158]  Peter Willett,et al.  Radar/AIS data fusion and SAR tasking for Maritime Surveillance , 2008, 2008 11th International Conference on Information Fusion.

[159]  Tom Ziemke,et al.  Improving maritime anomaly detection and situation awareness through interactive visualization , 2008, 2008 11th International Conference on Information Fusion.

[160]  Zhe Xiang,et al.  Marine Traffic Real-Time Safety Index , 2014 .

[161]  G. M. Wenz Acoustic Ambient Noise in the Ocean: Spectra and Sources , 1962 .

[162]  Giulio Colavolpe,et al.  European enhanced space-based AIS system study , 2010, 2010 5th Advanced Satellite Multimedia Systems Conference and the 11th Signal Processing for Space Communications Workshop.

[163]  Christopher Verlinden Passive Acoustic Techniques Using Sources of Opportunity , 2014 .

[164]  Harm Greidanus,et al.  The declining impact of piracy on maritime transport in the Indian Ocean: Statistical analysis of 5-year vessel tracking data , 2015 .

[165]  G. Sciara,et al.  Description of the vessel traffic within the north Pelagos Sanctuary: Inputs for Marine Spatial Planning and management implications within an existing international Marine Protected Area , 2016 .

[166]  Stan Matwin,et al.  Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning , 2016, PloS one.