Consequences of flight crew fatigue on the safety of civil aviation

Kandera, Branislav; Škultéty, Filip; Mesarosova, Karina

doi:10.1016/j.trpro.2019.12.043

Cited by 20 publications

(6 citation statements)

References 19 publications

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“…The Alertplus, Alermeter [35], [36]. Jawbone, Fitbit [37]- [41].The Smartcap [42]- [44], among others.…”

Section: Commercial Devicesmentioning

confidence: 99%

Behavioural Curves Analysis Using Near-Infrared-Iris Image Sequences

Causa¹,

Tapia²,

Lopez-Droguett³

et al. 2022

Preprint

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This paper proposes a new method to estimate behavioural curves from a stream of Near-Infra-Red (NIR) iris video frames. This method can be used in a Fitness For Duty system (FFD). The research focuses on determining the effect of external factors such as alcohol, drugs, and sleepiness on the Central Nervous System (CNS). The aim is to analyse how this behaviour is represented on iris and pupil movements and if it is possible to capture these changes with a standard NIR camera. The behaviour analysis showed essential differences in pupil and iris behaviour to classify the workers in "Fit" or "Unfit" conditions. The best results can distinguish subjects robustly under alcohol, drug consumption, and sleep conditions. The Multi-Layer-Perceptron and Gradient Boosted Machine reached the best results in all groups with an overall accuracy for Fit and Unfit classes of 74.0% and 75.5%, respectively. These results open a new application for iris capture devices.

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“…The Alertplus, Alermeter [35], [36]. Jawbone, Fitbit [37]- [41].The Smartcap [42]- [44], among others.…”

Section: Commercial Devicesmentioning

confidence: 99%

Behavioural Curves Analysis Using Near-Infrared-Iris Image Sequences

Causa¹,

Tapia²,

Lopez-Droguett³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…The aim of this study is to improve aviation safety through the management of Fatigue-related risks in aviation industry Kandera et al, 2019 Consequences of flight crew fatigue on the safety of civil aviation…”

Section: Fatigue Management Strategies For Aviation Workers: a Training And Development Workbookmentioning

confidence: 99%

A critical approach to fatigue risk factors in cockpit and cabin crew for the flight safety in aviation industry

Özel¹,

Hacıoğlu²

2021

BRSS

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This paper aims to develop a critical approach to flight safety by assessing theoretical and empirical studies on fatigue risk factors in cockpit and cabin crew. This paper also builds a fundamental basis for managing fatigue risk factors in the aviation industry. The main contribution of the paper demonstrates the fact that primary and secondary fatigue risk factors in cockpit and cabin crew affect the level of job satisfaction, operational efficiency, and flight security.

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“…The International Civil Aviation Organization (ICAO) defines fatigue as a "physiological state of reduced mental or physical performance capability resulting from sleep loss, extended wakefulness, circadian phase, and/or workload (mental and/or physical activity) that can impair a person's alertness and ability to adequately perform safety-related operational duties" (IATA, ICAO & IFALPA, 2015). In other words, fatigue is "the inability to function at the desired level due to incomplete recovery from the demands of prior work and other working activities" (Kandera, Škultéty & Mesárošová, 2019). In order to successfully restore the cognitive function, a restorative sleep is required, both in quantity and quality.…”

Section: Fatiguementioning

confidence: 99%

The impact of cognitive fatigue on airline pilots performance

Quental

Rocha

Silva

et al. 2021

J. airl. airpt. manag.

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Purpose: Air transport is a highly regulated branch of aviation, but it continues to show occurrences where human error is present. Fatigue is now recognized as a hazard which degrades human performance and can put flight safety at risk. In this regard, the general objective of this study is to assess the impact of cognitive fatigue on airline pilots and how it can contribute to the occurrence of accidents and incidents.Methodology: Three airline pilots participated in the case study. The participants’ cognitive fatigue was monitored according to four methods, being two of them of a subjective nature – the sleep diary (SD) and the Samn-Perelli 7-Point Fatigue Scale (SPS), and the other two of an objective nature – the Psychomotor Vigilance Task (PVT) and the actigraphy (actiwatch ReadibandTM 5). During their flight duty periods (FDPs), the pilots’ performance was also assessed according to the score delivered by a fatigue management software (FAID®).Findings: The obtained results allowed to understand whether the pilots are aware of their alertness and to identify factors which affect their performance levels. Between the beginning and the end of each FDP, significant changes were observed concerning the assessment on the SPS scale, the reaction time (RT) and the fatigue score generated by the biomathematical models associated to the technique of the actigraphy and the software FAID®.Originality/value: The risk of accident or serious error was classified according to the four methodologies used. Thus, it is possible to verify if there is a correspondence between the different scales or if there are scales more conservative (with a higher associated risk) than others.

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Consequences of flight crew fatigue on the safety of civil aviation

Cited by 20 publications

References 19 publications

Behavioural Curves Analysis Using Near-Infrared-Iris Image Sequences

Behavioural Curves Analysis Using Near-Infrared-Iris Image Sequences

A critical approach to fatigue risk factors in cockpit and cabin crew for the flight safety in aviation industry

The impact of cognitive fatigue on airline pilots performance

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