Research study and the model for improving the safety of navigation when using the AIS

• Autorzy: Medić D. , Bukljaš M. , Bošnjak R. , Vukša S.

Identyfikatory

DOI

10.12716/1001.15.03.10

• Języki publikacji: EN

Abstrakty

EN

The use of the Automatic Identification System (AIS) devices for ensuring the safety of navigation and the errors occurring when using AIS equipment have been the focus of a number of research studies. The users of AIS equipment installed onboard sea-going vessels are required to familiar with the proper use of the devices and potential errors that may occur. A significant problem revealed in this study is the lack of understanding of potential error sources and the necessity to eliminate such errors prior to transmission of the AIS data message reading of the errors and failure to update the data processed by the AIS system. This results in a hypothesis on the insufficient training of seafarers and their familiarisation with the AIS devices and errors. This research is aimed at increasing the safety of navigation in the Adriatic Sea, as well as other seas, i.e. better accident prevention and protection of human life and material property at sea. The results produced by the research are used as an input for creating a model for enhancing the safety of navigation when using the AIS, through additional training of the seafarers.

Słowa kluczowe

EN

Safety at Sea; Safety of Navigation; Automatic Identification System; AIS Data; Adriatic Sea; safety improvement; Maritime Safety

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2021
• Tom: Vol. 15 No. 3
• Strony: 577--582
• Opis fizyczny: Bibliogr. 15 poz., rys., tab.

Twórcy

autor

Medić D.

• University of Split, Split, Croatia

autor

Bukljaš M.

• University of Zagreb, Zagreb, Croatia

autor

Bošnjak R.

• University of Split, Split, Croatia

autor

Vukša S.

• University of Split, Split, Croatia

Bibliografia

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• 4. Burgess, T.F.: A general introduction to the design of questionnaires for survey research, https://nats-www.informatik.uni-hamburg.de/pub/User/InterculturalCommunication/top2.pdf.
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• 6. H. Jincan, F. Maoyan: Based on ECDIS and AIS Ship Collision Avoidance Warning System Research. In: 2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA). pp. 242–245 (2015). https://doi.org/10.1109/ICICTA.2015.69.
• 7. Harati Mokhtari, A., Wall, A., Brooks, P., Wang, J.: Automatic Identification System (AIS): A Human Factors Approach. (2008).
• 8. Harati-Mokhtari, A., Wall, A., Brooks, P., Wang, J.: Automatic Identification System (AIS): Data Reliability and Human Error Implications. Journal of Navigation. 60, 3, 373–389 (2007). https://doi.org/10.1017/S0373463307004298.
• 9. Heymann, F., Banys, P., Sáez-Martínez, C.: Radar Image Processing and AIS Target Fusion. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation. 9, 3, 443–448 (2015). https://doi.org/10.12716/1001.09.03.18.
• 10. Masroeri, A.A., Artana, K.B., Pitana, T., Putranta, D.D.: A Review on Some Research Issues on AIS to Improve the Ship Safety Operation at Sea. Journal of Maritime Researches. 2, 1, 11–23 (2012). https://doi.org/10.24546/81004320.
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• 13. Šakan, D., Rudan, I., Žuškin, S., Brčić, D.: Near Real-time S-AIS: Recent Developments and Implementation Possibilities for Global Maritime Stakeholders. Pomorstvo. 32, 2, 211–218 (2018). https://doi.org/10.31217/p.31.2.6.
• 14. Zaman, M.B., Kobayashi, E., Wakabayashi, N., Maimun, A.: Risk of Navigation for Marine Traffic in the Malacca Strait Using AIS. Procedia Earth and Planetary Science. 14, 33–40 (2015). https://doi.org/10.1016/j.proeps.2015.07.082.
• 15. Zaman, M.B., Santoso, A., Kobayashi, E., Wakabayashi, N., Maimun, A.: Formal Safety Assessment (FSA) for Analysis of Ship Collision Using AIS Data. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation. 9, 1, 67–72 (2015). https://doi.org/10.12716/1001.09.01.08.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).