A Seaports' Perspective on Resilience and Preparedness for Challenges of the Evolving World

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.

Authors

Publication Details

Journal
TransNav the International Journal on Marine Navigation and Safety of Sea Transportation
Published
2026-01-01
DOI
https://doi.org/10.12716/1001.20.01.08
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

A Seaports' Perspective on Resilience and Preparedness for Challenges of the Evolving World

Jan Nasur, Paulina Wolska
TransNav the International Journal on Marine Navigation and Safety of Sea Transportation
Maritime Navigation and Safety
article

A Seaports' Perspective on Resilience and Preparedness for Challenges of the Evolving World

Jan Nasur, Paulina Wolska
article en

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.

TransNav the International Journal on Marine Navigation and Safety of Sea TransportationVol. 20(1)
Climate action
Openalex Percentile: Top 10%
Maritime Navigation and Safety
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