Experimental validation of COMETA model of mental workload in air traffic control

Ibáñez-Gijón, Jorge; Travieso, David; Navia, José Antonio; Montes, Aitor; Jacobs, David M.; Frutos, Patricia López de

doi:10.1016/j.jairtraman.2023.102378

Cited by 2 publications

(1 citation statement)

References 40 publications

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“…Ensuring data integrity and completeness is important as a key factor in managing the mental workload of PDPT operators. This is reinforced by the findings of previous studies, such as a study by [17] and [18], which showed that easy access to complete data can reduce stress levels and mental fatigue.…”

Section: Determinants Of Pdpt Operator Mental Workload Causesmentioning

confidence: 65%

Analyzing Cognitive Ergonomics and Key Determinants of Mental Workload in PDPT Operators at Universities

Hakim,

A.P.

2024

JTI

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The study commenced by quantitatively measuring the mental workload of Higher Education Operators (PDPT) through the NASA Task Load Index (NASA TLX). Results indicated an even distribution of mental workload between moderate and heavy levels, each comprising 50%. NASA TLX, a standard tool for assessing mental workload, offered insights into the operators' stress levels during task execution. Subsequently, Structural Equation Modeling (SEM) was employed to scrutinize factors impacting mental workload. Independent variables, encompassing completeness of data (CD), Feeder Dikti's time demands (FDTD), Internet network conditions (INC), task complexity (TC), and working period (WP), were tested against the dependent variable, the level of mental workload (LMW). This research provides a holistic understanding of factors contributing to PDPT operators' mental workload and how these factors influence the previously measured workload distribution with NASA TLX. This comprehensive insight adds context to the findings, forming a robust foundation for crafting more targeted management strategies to mitigate and manage mental workload in PDPT environments.

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Section: Determinants Of Pdpt Operator Mental Workload Causesmentioning

confidence: 65%

Analyzing Cognitive Ergonomics and Key Determinants of Mental Workload in PDPT Operators at Universities

Hakim,

A.P.

2024

JTI

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Aircraft conflict resolution with trajectory recovery using mixed-integer programming

Dias,

Rey

2024

J Glob Optim

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To guarantee the safety of flight operations, decision-support systems for air traffic control must be able to improve the usage of airspace capacity and handle increasing demand. This study addresses the aircraft conflict avoidance and trajectory recovery problem. The problem of finding the least deviation conflict-free aircraft trajectories that guarantee the return to a target waypoint is highly complex due to the nature of the nonlinear trajectories that are sought. We present a two-stage iterative algorithm that first solves initial conflicts by manipulating their speed and heading control and then identifying each aircraft’s optimal time to recover its trajectory towards their nominal one. We extend existing mixed-integer programming formulations by modelling speed and heading control as continuous variables while recovery time is treated as a discrete variable. We develop a novel iterative approach which shows that the trajectory recovery costs can be anticipated by inducing avoidance trajectories with higher deviation, therefore obtaining earlier recovery time within a few iterations. Numerical results on benchmark conflict resolution problems show that this approach can solve instances with up to 30 aircraft within 10 min.

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Experimental validation of COMETA model of mental workload in air traffic control

Cited by 2 publications

References 40 publications

Analyzing Cognitive Ergonomics and Key Determinants of Mental Workload in PDPT Operators at Universities

Analyzing Cognitive Ergonomics and Key Determinants of Mental Workload in PDPT Operators at Universities

Aircraft conflict resolution with trajectory recovery using mixed-integer programming

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