A COLREGs-compliant decision support tool to prevent collisions at sea

• Autorzy: Martelli M. , Žuškin S. , Zaccone R. , Rudan I.

Identyfikatory

DOI

10.12716/1001.17.02.11

• Języki publikacji: EN

Abstrakty

EN

Groundings and collisions still represent the highest percentage of marine accidents despite the current attention on Maritime Education and Training and the improvement of sensor capability. Most of the time, a collision is caused by a human error with consequences ranging from moderate to severe, with a substantial impact on both environment and life safeguarded at sea. In this paper, a brief statistical data regarding human element as a root cause of marine incidents together with collision regulations misunderstanding is presented as a background chapter. Furthermore, the present work discusses a decision support system architecture to suggest an appropriate action when the risk of a potential collision is detected. The proposed architecture system is based on various modules integrated with proper sensor input data regarding the surrounding navigation area. As a result, the tool can support the Officers of Watch in the decision-making process providing an early suggestion in compliance with the COLlision REGulations. The proposed system is intended to be used onboard independently from the degree of automation of the ship, and it is based on AIS, which is mandatory, making it widely applicable. The proper use of the system can considerably reduce the number of collisions, as demonstrated by the obtained results.

Słowa kluczowe

EN

analysis of ship collision; collision avoidance; collision avoidance decision making; collision avoidance system; anti-collision maneuvering; autonomous control unit; autonomous ship; autonomous navigation system

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2023
• Tom: Vol. 17 No. 2
• Strony: 347--353
• Opis fizyczny: Bibliogr. 17 poz., rys., tab.

Twórcy

autor

Martelli M.

• University of Genova, Genova, Italy

autor

Žuškin S.

• University of Rijeka, Rijeka, Croatia

autor

Zaccone R.

• University of Genoa, Genoa, Italy

autor

Rudan I.

• University of Rijeka, Rijeka, Croatia

Bibliografia

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• [15] Sunmer, M. Dynamic Collision Avoidance for Sea Surface Vehicles with a Hidden Markov Model. doctoral dissertation. University of Rijeka, Faculty of Maritime Studies, Rijeka 2021.
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• [17] Zaccone, R., & Martelli, M. (2018, October). A random sampling based algorithm for ship path planning with obstacles. In Proceedings of the International Ship Control Systems Symposium (iSCSS) (Vol. 2, p. 4).

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).