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2024 Journal Impact Factor - 0.6
2024 CiteScore - 1.9
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
e-mail transnav@umg.edu.pl
Decision Support System Using Modern Methods of Collision Avoidance in Collision Situations at Sea
1 Gdynia Maritime University, Gdynia, Poland
ABSTRACT: Due to the rapid growth of maritime transport, many researchers have developed advanced methods aimed at increasing navigation safety and reducing operating costs, while maintaining compliance with the International Regulations for Preventing Collisions at Sea (COLREGs). Navigating a ship in potential collision situations requires decision-making under conditions of uncertainty and ambiguity – particularly with respect to concepts such as collision risk and safe speed. These concepts are subjective and not clearly defined. In response to these challenges, this paper presents an artificial intelligence-based method that takes into account the navigator's role as a decision-maker. The proposed solution is designed for integration with existing collision avoidance systems. A universal simulator was developed to evaluate the effectiveness of an algorithm for determining a safe ship trajectory in collision situations. Example navigation scenarios were conducted and presented using this simulator.
KEYWORDS: Risk Assessment, Fuzzy Logic, Navigational Safety, Collision Avoidance, Ship Trajectory, Decision Support Systems, Artificial Intelligence, Ship Manoeuvring
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Citation note:
Mohamed-Seghir M.: Decision Support System Using Modern Methods of Collision Avoidance in Collision Situations at Sea. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 20, No. 1, doi:10.12716/1001.20.01.07, pp. 55-60, 2026
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