Proposition of a human fatigue risk management computational tool for Air Traffic Controllers

Abstract Paper aims This paper presents a novel computational tool for managing risks related to human fatigue, applied at the First Integrated Center for Air Defense and Air Traffic Control (CINDACTA I). Distinct from existing systems, the proposed tool integrates a data‐oriented approach with a rigorous implementation of the Fatigue Risk Management System (FRMS) methodology, explicitly addressing the transition from acute to chronic fatigue. Originality The Fatigue Risk Management System (FRMS) tool was developed using an innovative approach that differentiates it from previous solutions. In contrast to validated international tools, our system emphasizes real-time data monitoring and adaptive risk mitigation strategies based on operational and scientific evidence (Gander et al., 2017; Maslach & Jackson, 1981). Research method we carried out exploratory, descriptive, and applied research with a qualitative approach. Main findings (i) The tool comprehensively covers all essential stages of the fatigue risk management process for Air Traffic Controllers (ATCOs); (ii) It provides actionable guidelines for reducing fatigue risks among ATCOs through an easily replicable computational prototype. Implications for theory and practice The tool contributes both to the theoretical understanding of human fatigue progression and to practical improvements in operational safety by prioritizing human resource management.