Baltic Maritime Risk Management Decision Support Systems Evaluation
This review evaluates Baltic maritime risk management decision support systems for accident prevention. Analysis of scientific literature, technology readiness levels, and future needs are discussed. The findings highlight the significance of DSS in accident prevention and suggest areas for improvement and future focus in maritime safety.
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Presentation Transcript
BONUS BALTIMARI Review, Evaluation, and Future of Baltic Maritime Risk Management Decision support systems for accident prevention Ketki Kulkarni Aalto University, Finland BONUS BALTIMARI 26.08.2020
Shipboard DSS for accident prevention: review 2019 search using the Web of Science database 107 articles in dataset Scientometric/Bibliometric Co-citation, Term map, Author collaboration analysis Systematic review Categories of DSS Technology Readiness Level 21.4.2025 2
Analysis of scientific literature Most relevant sources Author affiliations 21.4.2025 3
Categories of DSS Distribution of articles into categories 21.4.2025 4
Technology Readiness level Country-wise average TRL, years 1991-2019 21.4.2025 5
State-of-the-art 85% of analyzed papers have relatively low Technology Readiness Level (up to TRL3) More than 60% of the reviewed solutions represent the TRL 3 (the proof of the concept) Baltic Sea Region is strongly represented in the filed of DSSs for accident prevention Two solutions with highest TRL (8 and 9) originate from BSR. Increasing interest in arctic shipping routes 21.4.2025 6
Future needs Evaluation of existing risk models for usefulness and safety in autonomous vessels. Increased focus on risks of Arctic shipping. Combining accident data with other data sources such as Automatic Identification System (AIS). 21.4.2025 7
Thank you! 21.4.2025 8
