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Unearthing Air Traffic Control Officer Strategies from Simulated Air Traffic Data

Unearthing Air Traffic Control Officer Strategies from Simulated Air Traffic Data

Authors :
Zainuddin Zakaria
Sun Woh Lye
School of Mechanical and Aerospace Engineering
5th International Conference on Human Interaction and Emerging Technologies (IHIET 2021)
Air Traffic Management Research Institute
Source :
Human Interaction, Emerging Technologies and Future Systems V ISBN: 9783030855390, IHIET (Paris)
Publication Year :
2021
Publisher :
Springer International Publishing, 2021.

Abstract

With the growth in air traffic volume, automation tools are being developed to increase the capabilities of Air Traffic Control Officers (ATCOs). In this paper, a novel approach to unearth Air Traffic Control (ATC) strategies from raw simulator data is described by utilizing executed radar commands obtained via mouse click data. Five sets of air traffic simulation exercise data were used to identify potential conflicts and unearth likely strategies undertaken using a proposed strategy identification model. The preliminary results demonstrate the success of the model in its ability to identify four distinct strategies adopted by the controllers to safely navigate air traffic conflicts that occurred during the simulation and the conflict type in which they occurred. Strategies identified were also verified by an expert panel to be effective in solving the targeted conflict type. The proposed model can be used to objectively identify ATC strategies for use in automation development. Civil Aviation Authority of Singapore (CAAS) Nanyang Technological University Accepted version This project is supported by the Civil Aviation Authority of Singapore and Nanyang Technological University, Singapore under their collaboration in the Air Traffic Management Research Institute.

Details

ISBN :
978-3-030-85539-0
ISBNs :
9783030855390
Database :
OpenAIRE
Journal :
Human Interaction, Emerging Technologies and Future Systems V ISBN: 9783030855390, IHIET (Paris)
Accession number :
edsair.doi.dedup.....25e0502cd2c6dcfe1eb4a0e597660795
Full Text :
https://doi.org/10.1007/978-3-030-85540-6_46