Integration of Maritime Autonomous Surface Ships into Coastal Waters Supply Chains: A Systematic Literature Review of Safety and Autonomy Challenges

This study presents a systematic literature review of 307 peer-reviewed articles on collision avoidance approaches regarding the integration of maritime autonomous surface ships (MASSs) in coastal waters supply chains. The bibliographic data were retrieved from the ISI Web of Science Database and analyzed using Bibliometrix (version 4.3.3) in R and VOSviewer (version 1.6.20) to map the intellectual, thematic, and network structure of the research area. Three main research clusters were revealed through bibliographic coupling analysis: (1) autonomous collision risk management; (2) methodological approaches to maritime autonomy; and (3) adaptive maritime safety modeling. Content analysis of the identified research clusters enabled the development of a 68-item hierarchical task analysis (HTA) framework for MASS collision avoidance across three operational scenarios: (1) ship-to-object, (2) ship-to-ship, and (3) multi-ship. The results provide a comprehensive overview of the current state of research, identify methodological and safety interdependencies in autonomous navigation, and offer an organized and structured perspective to support the safer and more efficient integration of MASSs into coastal waters supply chains.

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Publication Details

Journal
Journal of Marine Science and Engineering
Published
2025-12-09
DOI
https://doi.org/10.3390/jmse13122346
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

Integration of Maritime Autonomous Surface Ships into Coastal Waters Supply Chains: A Systematic Literature Review of Safety and Autonomy Challenges

Renato Oblak, Miljen Sirotić, Donald Schiozzi, Alen Jugović
Journal of Marine Science and Engineering
Maritime Navigation and Safety
article

Integration of Maritime Autonomous Surface Ships into Coastal Waters Supply Chains: A Systematic Literature Review of Safety and Autonomy Challenges

Renato Oblak, Miljen Sirotić, Donald Schiozzi, Alen Jugović
article en

Abstract

This study presents a systematic literature review of 307 peer-reviewed articles on collision avoidance approaches regarding the integration of maritime autonomous surface ships (MASSs) in coastal waters supply chains. The bibliographic data were retrieved from the ISI Web of Science Database and analyzed using Bibliometrix (version 4.3.3) in R and VOSviewer (version 1.6.20) to map the intellectual, thematic, and network structure of the research area. Three main research clusters were revealed through bibliographic coupling analysis: (1) autonomous collision risk management; (2) methodological approaches to maritime autonomy; and (3) adaptive maritime safety modeling. Content analysis of the identified research clusters enabled the development of a 68-item hierarchical task analysis (HTA) framework for MASS collision avoidance across three operational scenarios: (1) ship-to-object, (2) ship-to-ship, and (3) multi-ship. The results provide a comprehensive overview of the current state of research, identify methodological and safety interdependencies in autonomous navigation, and offer an organized and structured perspective to support the safer and more efficient integration of MASSs into coastal waters supply chains.

Journal of Marine Science and EngineeringVol. 13(12)
University of Rijeka (HR), Port Authority of New York and New Jersey (US), Ingenierie des Materiaux polymeres (FR)
Openalex Percentile: Top 52%
Maritime Navigation and Safety
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