Fatigue Risk Management System
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Keywords

Transportation
Safety
Transportation Economics
Discrete Choice Models
Transportation Demand
Inter-Urban Transport

How to Cite

Mul Fedele, M. L., & Vigo, D. E. (2024). Fatigue Risk Management System: MBMF as Prevention and Detection Mechanisms. RSO - Safety Journal, (4), 14–21. Retrieved from http://revistarso.jst.gob.ar/index.php/seguridad/article/view/97

ARK

https://id.caicyt.gov.ar/ark:/s29534739/r7kk7ktel

Abstract

This paper examines the link between the consequences of fatigue and safety problems in transportation. Fatigue is objectively observed as changes in various performance aspects, including increased reaction time, attention lapses (i.e., prolonged reaction times), increased time required to complete cognitive tasks, reduced situational awareness, and decreased motivation. The disruptions caused by fatigue can often trigger incidents and accidents (Dawson et al., 2012). Therefore, in this paper, fatigue is seen as a significant risk to the safety of individuals and those in their work environment, as well as to society at large. There is ample scientific evidence regarding the relationship between sleep patterns, work schedules, and traffic accidents. To address this and related issues, various fatigue predictors can be used to develop a Fatigue Risk Management System (FRMS). This paper analyzes its features and potential applications.

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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Copyright (c) 2024 RSO - Revista de Seguridad Operacional

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