Journal is indexed in following databases:



2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4



HomePage
 




 


 

ISSN 2083-6473
ISSN 2083-6481 (electronic version)
 

 

 

Editor-in-Chief

Associate Editor
Prof. Tomasz Neumann
 

Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
www http://www.transnav.eu
e-mail transnav@umg.edu.pl
A COLREGs-Compliant Decision Support Tool to Prevent Collisions at Sea
1 University of Genoa, Genoa, Italy
2 University of Rijeka, Rijeka, Croatia
ABSTRACT: 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.
REFERENCES
Allianz Marine Insurance. Archived on 10-March-2023. Retrieved from https://www.agcs.allianz.com/global-offices/united-states.html#marine
Annual Overview of Marine Casulties and Incidents – European Maritime Safety Agency (EMSA) 2022. Archived on 25-March-2023. Retrieved from https://www.emsa.europa.eu/accident-investigation-publications/annual-overview.html
Benjamin, R.M. Multi-objective autonomous vehicle navigation in the presence of cooperative and adversarial moving contacts. In OCEANS’02 MTS/IEEE, volume 3, pp. 1878-1885. IEEE, 2002.
Benjamin, R.M., and Curcio J. Colregs-based navigation of autonomous marine vehicles. IEEE/OES autonomous underwater vehicles pp. 32–39, 2004. - doi:10.1109/AUV.2004.1431190
Benjamin, R.M., Curcio, J.A., Leonard, J.J., and Newman, P.M. Navigation of unmanned marine vehicles in accordance with the rules of the road. In Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICFA 2006., pp. 3581-3587, May 2006. - doi:10.1109/ROBOT.2006.1642249
Ecolreg. Archived on 03-March-2023. Retrieved from https://ecolregs.com/index.php?lang=en
EMSA, 2022 Annual overview of marine casualties and incidents 2022.
Lazarowska, A. "A new deterministic approach in a decision support system for ship’s trajectory planning." Expert Systems with Applications 71 (2017): 469-478. - doi:10.1016/j.eswa.2016.11.005
IMO. Human Element Vision, Principles and Goals of the Organisation. International Maritime Organisation, Resolution A.947(23). Adopted on 27 November 2003.
International Regulations for Preventing Collisions at Sea (Consolidated edition, 2018). Archived on 03-March-2023. Retrieved from https://www.samgongustofa.is/media/log-og-reglur/COLREG-Consolidated-2018.pdf
Jincan, H., & Maoyan, F. (2015, June). 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). IEEE. - doi:10.1109/ICICTA.2015.69
Pietrzykowski, Z., Wołejsza, P., & Borkowski, P. (2017). Decision support in collision situations at sea. The Journal of Navigation, 70(3), 447-464. - doi:10.1017/S0373463316000746
Safety Analysis of EMCIP Data. Analysis of Navigation Accidents - European Maritime Safety Agency (EMSA) 2022. Archived on 25-March-2023. Retrieved from https://www.emsa.europa.eu/publications/item/4830-safety-analysis-of-emcip-data-analysis-of-navigation-accidents.html
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.
Wilthil, E. F., Flåten, A. L., Brekke, E. F., & Breivik, M. (2018, March). Radar-based maritime collision avoidance using dynamic window. In 2018 IEEE aerospace conference (pp. 1-9). IEEE.
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). - doi:10.24868/issn.2631-8741.2018.018
Citation note:
Martelli M., Žuškin S., Zaccone R., Rudan I.: A COLREGs-Compliant Decision Support Tool to Prevent Collisions at Sea. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 17, No. 2, doi:10.12716/1001.17.02.11, pp. 347-353, 2023
Authors in other databases:

Other publications of authors:

B. Svilicic, D. Brčić, S. Žuškin, D. Kalebić

File downloaded 274 times








Important: TransNav.eu cookie usage
The TransNav.eu website uses certain cookies. A cookie is a text-only string of information that the TransNav.EU website transfers to the cookie file of the browser on your computer. Cookies allow the TransNav.eu website to perform properly and remember your browsing history. Cookies also help a website to arrange content to match your preferred interests more quickly. Cookies alone cannot be used to identify you.
Akceptuję pliki cookies z tej strony