Task demand assessment – a measure of air traffic controllers' task capability in monitoring flights

With the projected rise in air traffic following post-COVID-19 recovery, managing Air Traffic Controllers’ (ATCO) work schedules is paramount in ensuring efficient and safe skies. ATCOs are subjected to a high cognitive demand working environment, and understanding what the controllers’ perceive the...

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Main Author: Yeo, Kai Xiang
Other Authors: Lye Sun Woh
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/177893
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1778932024-06-03T07:21:05Z Task demand assessment – a measure of air traffic controllers' task capability in monitoring flights Yeo, Kai Xiang Lye Sun Woh School of Mechanical and Aerospace Engineering MSWLYE@ntu.edu.sg Engineering Air traffic controller Aviation Task demand Task demand scoring index Air traffic management Human factors With the projected rise in air traffic following post-COVID-19 recovery, managing Air Traffic Controllers’ (ATCO) work schedules is paramount in ensuring efficient and safe skies. ATCOs are subjected to a high cognitive demand working environment, and understanding what the controllers’ perceive the demand of tasks is crucial in the understanding of how they can be rostered or assigned particular tasks to ensure efficacy and safety. The objective of this paper is to develop a Task Demand Scoring Index, which seeks to determine the task demand imposed on the Air Traffic Controller (ATCO) due to the type of tasks undertaken on a daily basis. It would provide an objective view and potentially act as precursor in the eventual determination of controllers’ workload. The adoption of clustering techniques for the radar positions of aircrafts coupled with the objective assessment of physiological data extracted, would formulate the Task Demand Score Index. Background information of Air Traffic Management (ATM) as well as workload and task-load are covered in the first part of this report. Subsequently, the methodology and approach taken will be delved into and examined, with novel clustering approaches undertaken in the determination of factors used in the scoring index formulation. It is followed by the analysis of statistical information of parameters defined and derived from the collected data and eventually the formulation of the Task Demand Scoring Index. The study concludes with the provision of a Task Demand Scoring Index, evaluated objectively with proven weightage methodologies. Bachelor's degree 2024-06-03T07:21:05Z 2024-06-03T07:21:05Z 2024 Final Year Project (FYP) Yeo, K. X. (2024). Task demand assessment – a measure of air traffic controllers' task capability in monitoring flights. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/177893 https://hdl.handle.net/10356/177893 en B162 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
Air traffic controller
Aviation
Task demand
Task demand scoring index
Air traffic management
Human factors
spellingShingle Engineering
Air traffic controller
Aviation
Task demand
Task demand scoring index
Air traffic management
Human factors
Yeo, Kai Xiang
Task demand assessment – a measure of air traffic controllers' task capability in monitoring flights
description With the projected rise in air traffic following post-COVID-19 recovery, managing Air Traffic Controllers’ (ATCO) work schedules is paramount in ensuring efficient and safe skies. ATCOs are subjected to a high cognitive demand working environment, and understanding what the controllers’ perceive the demand of tasks is crucial in the understanding of how they can be rostered or assigned particular tasks to ensure efficacy and safety. The objective of this paper is to develop a Task Demand Scoring Index, which seeks to determine the task demand imposed on the Air Traffic Controller (ATCO) due to the type of tasks undertaken on a daily basis. It would provide an objective view and potentially act as precursor in the eventual determination of controllers’ workload. The adoption of clustering techniques for the radar positions of aircrafts coupled with the objective assessment of physiological data extracted, would formulate the Task Demand Score Index. Background information of Air Traffic Management (ATM) as well as workload and task-load are covered in the first part of this report. Subsequently, the methodology and approach taken will be delved into and examined, with novel clustering approaches undertaken in the determination of factors used in the scoring index formulation. It is followed by the analysis of statistical information of parameters defined and derived from the collected data and eventually the formulation of the Task Demand Scoring Index. The study concludes with the provision of a Task Demand Scoring Index, evaluated objectively with proven weightage methodologies.
author2 Lye Sun Woh
author_facet Lye Sun Woh
Yeo, Kai Xiang
format Final Year Project
author Yeo, Kai Xiang
author_sort Yeo, Kai Xiang
title Task demand assessment – a measure of air traffic controllers' task capability in monitoring flights
title_short Task demand assessment – a measure of air traffic controllers' task capability in monitoring flights
title_full Task demand assessment – a measure of air traffic controllers' task capability in monitoring flights
title_fullStr Task demand assessment – a measure of air traffic controllers' task capability in monitoring flights
title_full_unstemmed Task demand assessment – a measure of air traffic controllers' task capability in monitoring flights
title_sort task demand assessment – a measure of air traffic controllers' task capability in monitoring flights
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/177893
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