Predicting a passenger ship's response during evasive maneuvers using Bayesian Learning

Mateusz Gil, Jakub Montewka and Krata, Przemysław

Reliability Engineering and System Safety, 2025, vol. 256, issue C

Abstract: The rapidly advancing automation of the maritime industry – for instance, through onboard Decision Support Systems (DSS) – can facilitate the introduction of advanced solutions supporting the process of collision avoidance at sea. Nevertheless, relevant solutions that aim to correctly predict a ship's behavior in irregular waves are only available to a limited extent by omitting the impact of wave stochastics on resulting evasive maneuvers. This is mainly due to the complexity of the phenomena, the existing couplings therein, and the time inefficacy in resolving the problem through real-time simulations.

Keywords: Decision support tool prototyping; Ship safety; Ship's motions prediction; Irregular waves; Casual probabilistic model; Collision avoidance (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:256:y:2025:i:c:s0951832024008366

DOI: 10.1016/j.ress.2024.110765

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