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

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  • Gil, Mateusz
  • Montewka, Jakub
  • Krata, PrzemysÅ‚aw

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.

Suggested Citation

  • Gil, Mateusz & Montewka, Jakub & Krata, PrzemysÅ‚aw, 2025. "Predicting a passenger ship's response during evasive maneuvers using Bayesian Learning," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
    • Handle: RePEc:eee:reensy:v:256:y:2025:i:c:s0951832024008366
    DOI: 10.1016/j.ress.2024.110765
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    References listed on IDEAS

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