Stress among ab-initio pilots: A model of contributing factors by AHP

Kılıç, Bilal; Üçler, Çağlar

doi:10.1016/j.jairtraman.2019.101706

Cited by 27 publications

(14 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…from a combination of task complexity (Borghini, Astolfi, Vecchiato, Mattia, & Babiloni, 2014;Causse, Chua, Peysakhovich, Del Campo, & Matton, 2017;Durantin, Gagnon, Tremblay, & Dehais, 2014) and the potentially fatal consequence of errors (Kilic & Ucler, 2019). In this context, the maintenance of optimal cognitive performance is a constant challenge.…”

mentioning

confidence: 99%

Facing successfully high mental workload and stressors: An fMRI study

Causse

Lepron

Mandrick

et al. 2021

Human Brain Mapping

View full text Add to dashboard Cite

The present fMRI study aimed at highlighting patterns of brain activations and autonomic activity when confronted with high mental workload and the threat of auditory stressors. Twenty participants performed a complex cognitive task in either safe or aversive conditions. Our results showed that increased mental workload induced recruitment of the lateral frontoparietal executive control network (ECN), along with disengagement of medial prefrontal and posterior cingulate regions of the default mode network (DMN). Mental workload also elicited an increase in heart rate and pupil diameter. Task performance did not decrease under the threat of stressors, most likely due to efficient inhibition of auditory regions, as reflected by a large decrement of activity in the superior temporal gyri. The threat of stressors was also accompanied with deactivations of limbic regions of the salience network (SN), possibly reflecting emotional regulation mechanisms through control from dorsal medial prefrontal and parietal regions, as indicated by functional connectivity analyses.Meanwhile, the threat of stressors induced enhanced ECN activity, likely for improved attentional and cognitive processes toward the task, as suggested by increased lateral prefrontal and parietal activations. These fMRI results suggest that measuring the balance between ECN, SN, and DMN recruitment could be used for objective mental state assessment. In this sense, an extra recruitment of task-related regions and a high ratio of lateral versus medial prefrontal activity may represent a relevant marker of increased but efficient mental effort, while the opposite may indicate a disengagement from the task due to mental overload and/or stressors.

show abstract

mentioning

confidence: 99%

Facing successfully high mental workload and stressors: An fMRI study

Causse

Lepron

Mandrick

et al. 2021

Human Brain Mapping

View full text Add to dashboard Cite

show abstract

“…Among these contributing factors, human error is associated with the largest portion of commercial air carrier accidents (more than 75%) [12][13] [14]. Upon closer examination of human factors, pilots are subject to several external conditions such as stress, hypoxia, circadian rhythm disruptions, venous thromboembolism which impede their performance and may give rise to errors, violations made by pilots and unwanted occurrences (e.g., near-miss, accidents and hullloss) [15][16] [17].…”

Section: Commercial Air Carrier Accidentsmentioning

confidence: 99%

Application of HFACS to the Nighttime Aviation Accidents and Incidents

Kılıç¹,

Gümüş²

2020

Journal of Aviation

Self Cite

View full text Add to dashboard Cite

Commercial aviation accidents and incidents are more prevalent at the certain times of the day. Operational problems (e.g., night vision, flash blindness, black hole illusion, and reflection) faced by pilots while performing nighttime flights pose threats to flight safety. The present paper aims to examine the contributing factors to commercial aviation accidents occurred at night. In this paper, accident reports of 30 commercial airplane crashes occurred over the past five years were analyzed. The contributing factors of those accidents were examined by using HFACS (Human Factors Analysis and Classification System). The relative importance of the causal factors was determined. Literature reviews have indicated that no study has examined the causality of nighttime commercial aircraft accidents by using HFACS as a framework. It was found that physical environment was the most significant causal factor. Skill-based errors were second-highest contributing factors. Perceptual errors and decision errors were ranked as third-highest causal factors. We believe that our results may be useful for reducing the chances of human error and raising safety standards of commercial airline operations.

show abstract

“…As mentioned in Baffoe (2019) and Bilal(2019) [21], [22], to obtain the weights of the factors at each level, we divide their relative importance into 1-9 grades ( Table 2, where A1 and A2 represent any two factors). The importance scores may be obtained by a questionnaire survey.…”

Section: Location Alternatives For Otcssmentioning

confidence: 99%

“…Using the method in Chapter 2, we group the initial location alternatives based on the rule that 85% of the covered demand points are the same in two covering sets. Finally, we keep the location alternatives that have the highest comprehensive weights to get a set of real alternatives, namely, J = (3,17,22,27,30,48,49,50), which are shown in Figure 3.…”

Section: Case Studymentioning

confidence: 99%

Locating Control Stations for Mobile Monitoring of Overloaded Trucks on Rural Highways

Jiang

Yang

2020

IEEE Access

View full text Add to dashboard Cite

In china, overloaded trucks are widespread on rural highways, and the current control measures are inefficient. We propose a new overloaded truck control method that finds overloaded trucks with enforcement vehicles. The enforcement vehicles detect the intercepted trucks with mobile weighing equipment and use the overloaded truck control station as a base. Based on the given number of stations and the number of enforcement vehicles, in order to detect more overloaded trucks, we need optimize the spatial distribution of the stations and the routes of the enforcement vehicles. For this reason, this paper first uses the analytic hierarchy process (AHP) to evaluate some initial alternative locations and selects a group of potential locations for the stations. Second, with the aim of maximizing the number of trucks being detected by the enforcement vehicles, we establish a model to optimize the spatial distribution of the stations and the routes of enforcement vehicles. Finally, a calculation is done with the data of the current rural highways in Guiyang city, China. INDEX TERMS Highway transportation, location and routing problem, ant colony algorithm, overloaded truck control station, rural highway.

show abstract

Stress among ab-initio pilots: A model of contributing factors by AHP

Cited by 27 publications

References 40 publications

Facing successfully high mental workload and stressors: An fMRI study

Facing successfully high mental workload and stressors: An fMRI study

Application of HFACS to the Nighttime Aviation Accidents and Incidents

Locating Control Stations for Mobile Monitoring of Overloaded Trucks on Rural Highways

Contact Info

Product

Resources

About