Strategic Decision-Making and Risk Management Approach in Autonomous Maritime systems

Abstract

The maritime transport is undergoing significant changes due to the introduction of autonomous systems that can operate with minimal human intervention. These technologies offer significant benefits, including increased safety, reduced operating costs, and increased efficiency. However, the deployment of autonomous vessels also presents complex challenges, particularly in the areas of decision-making and risk management. This paper presents an integrated risk management framework for autonomous maritime systems that incorporates advanced decision-making models such as decision trees and Bayesian networks. The novelty of the approach lies in its ability to simultaneously improve operational safety and optimize decision making under uncertainty. The concept is validated through real-life examples, demonstrating its practical application and emphasizing the strategic importance of risk management for ensuring the reliability and efficiency of autonomous systems