Risk-informed collision avoidance system design for maritime autonomous surface ships
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Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Date
2023-07-01
Department
Major/Subject
Mcode
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Language
en
Pages
20
Series
Ocean Engineering, Volume 279
Abstract
The maritime industry is paving the way towards developing Maritime Autonomous Surface Ships (MASSs) through the adoption of key enabling technologies for safety-critical operations, which are associated with new challenges, especially at their early design phase. This study aims to develop a methodology to conduct the risk-informed design for the Collision Avoidance System (CAS) of MASSs. Pertinent regulatory instruments are reviewed to identify functional and system requirements and develop a baseline CAS configuration at the component level. Quantitative Fault Tree Analysis is performed to derive risk metrics, such as probability of failure, Importance measures, and Minimal Cut Sets, whereas criticality analysis is conducted to recommend risk-reducing measures. A Short Sea Shipping case study is investigated considering four operating modes based on various weather and illumination conditions. Results demonstrate that the developed Fault Tree diagram provides a robust representation of the CAS failure. The most critical components are found to be related to the Intention Communication and Situation Awareness Systems, the redundancy of which leads to 91% reduction of the CAS probability of failure. This study contributes towards the risk-informed design of safety-critical systems required for the development of MASSs.Description
Keywords
Maritime Autonomous Surface Ship, Collision Avoidance System, Quantitative Fault Tree Analysis, Risk analysis, Risk metrics, Risk-informed design
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Citation
Lee, P, Theotokatos, G, Boulougouris, E & Bolbot, V 2023, ' Risk-informed collision avoidance system design for maritime autonomous surface ships ', Ocean Engineering, vol. 279, 113750 . https://doi.org/10.1016/j.oceaneng.2023.113750
