Skip to main content
SpringerLink
Log in

Maritime Reporting Systems

  • Chapter
  • First Online:
Guide to Maritime Informatics

Abstract

In recent years, numerous maritime systems track vessels while travelling across the oceans. Ship reporting systems are used to provide, gather or exchange information through radio reports. This information is used to provide data for multiple purposes including search and rescue, vessel traffic services, prevention of marine pollution and many more. In reality though researchers and scientists are finding out that these data sets provide a new set of possibilities for improving our understanding of what is happening or might be happening at sea. This chapter provides an introduction to the main vessel reporting systems available today, while discussing some of their shortcomings and strong points. In this context, several applications and potential uses are described.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 99.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://ihsmarkit.com/products/imo-ship-company.html.

  2. 2.

    https://zenodo.org/record/1167595#.XQtPIY9RUuU.

  3. 3.

    https://www.marinetraffic.com/.

  4. 4.

    https://www.itu.int/en/ITU-R/terrestrial/fmd/Pages/mid.aspx.

  5. 5.

    https://www.itu.int/en/about/Pages/default.aspx.

  6. 6.

    AIS-plus is an extension of AIS that includes ASM.

  7. 7.

    https://www.ceip.at/webdab_emepdatabase/.

  8. 8.

    https://www.sec.gov/edgar.shtml.

  9. 9.

    https://www.marinetraffic.com/anomaly-detection (service is accessible for guests after contacting MarineTraffic Research).

References

  1. Adland, R.: Shipping economics and analytics. In: Artikis, A., Zissis, D. (eds.) Guide to Maritime Informatics, chap. 11. Springer, Berlin (2021)

    Google Scholar 

  2. Alessandrini, A., Guizzardi, D., Janssens-Maenhout, G., Pisoni, E., Trombetti, M., Vespe, M.: Estimation of shipping emissions using vessel long range identification and tracking data. J. Maps 13, 946–954 (2017)

    Google Scholar 

  3. Andrienko, N., Andrienko, G.: Visual analytics of vessel movement. In: Artikis, A., Zissis, D. (eds.) Guide to Maritime Informatics, chap. 5. Springer, Berlin (2021)

    Google Scholar 

  4. Biltgen, P., Ryan, S.: Activity-based Intelligence: Principles and Applications. Artech House electronic warfare library. Artech House (2016). https://books.google.gr/books?id=4mcYjgEACAAJ

  5. Chen, Y.: Satellite-based ais and its comparison with lrit. TransNav, Int. J. Marine Navig. Saf. Sea Transp. 8(2), 183–187 (2014)

    Article  Google Scholar 

  6. Ducruet, C., Berli, J., Spiliopoulos, G., Zissis, D.: Maritime network analysis: Connectivity and spatial distribution. In: Artikis, A., Zissis, D. (eds.) Guide to Maritime Informatics, chap. 10. Springer, Berlin (2021)

    Google Scholar 

  7. Etienne, L., Ray, C., Camossi, E., Iphar, C.: Maritime data processing in relational databases. In: Artikis, A., Zissis, D. (eds.) Guide to Maritime Informatics, chap. 3. Springer, Berlin (2021)

    Google Scholar 

  8. FAO.: VMS for fishery vessels. http://www.fao.org/fishery/topic/18103/en. Accessed 15 May 2019

  9. Fonseca, T., Campos, A., Fonseca, P., Mendes, B., Henriques, V., Parente, J.: The importance of satellite-based vessel monitoring system (vms) for fisheries management: a case study in the portuguese trawl fleet. Maritime Engineering and Technology, pp. 19–24 (2012)

    Google Scholar 

  10. U.D. of Homeland Security.: National plan to achieve maritime domain awareness for the national strategy for maritime security. Technical report DHS (2005). https://www.dhs.gov/xlibrary/assets/HSPD_MDAPlan.pdf

  11. IALA.: The technical specification of VDES. Technical report IALA (2018). https://www.iala-aism.org/product/g1139-technical-specification-vdes/

  12. IMO.: Draft e-navigation strategy implementation plan. Technical report IMO (2014). http://www.imo.org/en/OurWork/Safety/Navigation/Documents/enavigation/SIP.pdf

  13. IMO.: Technical characteristics for an automatic identification system using time division multiple access in the vhf maritime mobile frequency band. Technical report, ITU (2017). https://www.itu.int/dms_pubrec/itu-r/rec/m/R-REC-M.1371-5-201402-I!!PDF-E.pdf

  14. IMO.: Long-range identification and tracking system. Technical report, IMO (2018). http://www.imo.org/en/OurWork/Safety/Navigation/Documents/LRIT/1259-Rev-7.pdf

  15. Jonas, M., Oltmann, J.H.: Imo e-navigation implementation strategy - challenge for data modelling. TransNav, Int. J. Marnie Navig. Saf. Sea Transp. 7(1), 45–49 (2013)

    Article  Google Scholar 

  16. Jousselme, A.L., Iphar, C., Pallotta, G.: Uncertainty handling for maritime route deviation. In: Artikis, A., Zissis, D. (eds.) Guide to Maritime Informatics, chap. 9. Springer, Berlin (2021)

    Google Scholar 

  17. Kontopoulos, I., Spiliopoulos, G., Zissis, D., Chatzikokolakis, K., Artikis, A.: Countering real-time stream poisoning: An architecture for detecting vessel spoofing in streams of AIS data. In: 2018 IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, 16th International Conference on Pervasive Intelligence and Computing, 4th International Conference on Big Data Intelligence and Computing and Cyber Science and Technology Congress 2018, Athens, Greece, August 12–15, 2018, pp. 981–986 (2018)

    Google Scholar 

  18. Millefiori, L.M., Zissis, D., Cazzanti, L., Arcieri, G.: A distributed approach to estimating sea port operational regions from lots of AIS data. In: 2016 IEEE International Conference on Big Data, BigData 2016, Washington DC, USA, December 5–8, 2016, pp. 1627–1632 (2016)

    Google Scholar 

  19. Min Mou, J., van der Tak, C., Ligteringen, H.: Study on collision avoidance in busy waterways by using AIS data. Ocean Eng. 37, 483–490 (2010)

    Article  Google Scholar 

  20. Pallotta, G., Vespe, M., Bryan, K.: Vessel pattern knowledge discovery from ais data: a framework for anomaly detection and route prediction. Entropy 15, 2218–2245 (2013)

    Article  Google Scholar 

  21. Patroumpas, K.: Online mobility tracking against evolving maritime trajectories. In: Artikis, A., Zissis, D. (eds.) Guide to Maritime Informatics, chap. 6. Springer, Berlin (2021)

    Google Scholar 

  22. Pitsikalis, M., Artikis, A.: Composite maritime event recognition. In: Artikis, A., Zissis, D. (eds.) Guide to Maritime Informatics, chap. 8. Springer, Berlin (2021)

    Google Scholar 

  23. Pitsikalis, M., Artikis, A., Dreo, R., Ray, C., Camossi, E., Jousselme, A.: Composite event recognition for maritime monitoring. In: Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems, DEBS 2019, Darmstadt, Germany, June 24–28, 2019, pp. 163–174 (2019)

    Google Scholar 

  24. Qi, J., Guo, R., Wang, X., Zhang, H.: Research on risk long range identification for vessel traffic dynamic system. IOP Conf. Ser.: Mater. Sci. Eng. 231, 012166 (2017)

    Article  Google Scholar 

  25. Russo, T., Carpentieri, P., D’Andrea, L., de Angelis, P., Fiorentino, F., Franceschini, S., Garofalo, G., Labanchi, L., Parisi, A., Scardi, M., Cataudella, S.: Trends in effort and yield of trawl fisheries: a case study from the mediterranean sea. Front. Mar. Sci. 6, 00153 (2019)

    Google Scholar 

  26. Santipantakis, G.M., Doulkeridis, C., Vouros, G.A.: Link discovery for maritime monitoring. In: Artikis, A., Zissis, D. (eds.) Guide to Maritime Informatics, chap. 7. Springer, Berlin (2021)

    Google Scholar 

  27. Spiliopoulos, G., Zissis, D., Chatzikokolakis, K.: A big data driven approach to extracting global trade patterns. In: Mobility Analytics for Spatio-Temporal and Social Data - First International Workshop, MATES 2017, Munich, Germany, September 1, 2017, Revised Selected Papers, pp. 109–121 (2017)

    Google Scholar 

  28. Tampakis, P., Sideridis, S., Nikitopoulos, P., Pelekis, N., Theodoridis, Y.: Maritime data analytics. In: Artikis, A., Zissis, D. (eds.) Guide to Maritime Informatics, chap. 4. Springer, Berlin (2021)

    Google Scholar 

  29. Tzouramanis, T.: Navigating the ocean of publicly available maritime data. In: Artikis, A., Zissis, D. (eds.) Guide to Maritime Informatics, chap. 2. Springer, Berlin (2021)

    Google Scholar 

  30. Vespe, M., Greidanus, H., Alvarez, M.: The declining impact of piracy on maritime transport in the indian ocean: statistical analysis of 5-year vessel tracking data. Marine Policy 59, 9–15 (2015)

    Article  Google Scholar 

  31. Watson, J., Haynie, A.: Using vessel monitoring system data to identify and characterize trips made by fishing vessels in the united states north pacific. PLoS ONE 11, 0165173 (2016)

    Google Scholar 

  32. Watson, J., Haynie, A., J. Sullivan, P., Perruso, L., O’Farrell, S., Sanchirico, J., Mueter, F.: Vessel monitoring systems (VMS) reveal an increase in fishing efficiency following regulatory changes in a demersal longline fishery. Fish. Res. 207, 006 (2018)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. MarineTraffic, Athens, Greece

    Konstantina Bereta & Konstantinos Chatzikokolakis

  2. University of the Aegean, Syros, Greece

    Dimitris Zissis

Authors
  1. Konstantina Bereta
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Konstantinos Chatzikokolakis
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dimitris Zissis
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Konstantina Bereta .

Editor information

Editors and Affiliations

  1. Department of Maritime Studies, University of Piraeus, Piraeus, Greece

    Alexander Artikis

  2. Department of Product and Systems Design Engineering, University of the Aegean, Syros, Greece

    Dimitris Zissis

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Bereta, K., Chatzikokolakis, K., Zissis, D. (2021). Maritime Reporting Systems. In: Artikis, A., Zissis, D. (eds) Guide to Maritime Informatics. Springer, Cham. https://doi.org/10.1007/978-3-030-61852-0_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-61852-0_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61851-3

  • Online ISBN: 978-3-030-61852-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation