The introduction of autonomous systems in maritime transport is fundamentally changing the approach to shipping, providing increased safety, reduced operating costs, and increased efficiency. At the same time, these innovations pose a number of challenges, especially in the areas of decision-making and risk management. This chapter explores the integration of advanced models, such as decision trees and Bayesian networks, with robust risk management strategies to effectively deal with the uncertainties and threats that accompany the deployment of autonomous vessels. Real-life cases of implementing these models in practice are analyzed, emphasizing the importance of adaptive strategies and real-time decision support systems to ensure reliable and safe operation of autonomous vessels, contributing to the long-term sustainability of maritime operations.
Adaptive Risk Management Strategies in Autonomous Maritime Systems
Studies in Systems, Decision and Control
11.06.2025
13 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Shipping , Maritime transport , Autonomous ships , Risk management , Decision-making , Settlement strategies , Bayesian networks , Adaptive strategies , Maritime operations , International standards Engineering , Electrical Engineering , Transportation Technology and Traffic Engineering , Mathematical and Computational Engineering