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dc.contributor.authorLeon, Jia Enen_US
dc.identifier.citationLeon, J. E. (2022). Unearthing strategies from visio-physiological data of traffic conflict situations in terminal maneuvering area. Final Year Project (FYP), Nanyang Technological University, Singapore.
dc.description.abstractAirspace will becoming increasingly crowded and complex, human Air Traffic Control Officers (ATCOs) need to transit from the role of an operator to that of a supervisor of automation. Current Artificial Intelligence in Air Traffic Management only encompasses providing information and advisories, but not executing solutions automatically. Hence, there is to understand the strategies used by the human ATCOs to provide a template for the Artificial Intelligence to smoothen the process of automation acceptance. This paper will examine the maneuver patterns used by human ATCOs in resolving waypoint conflicts in two cases, the converging conflict and overtaking conflict, and in sequencing conflicting for landing. The focus of this paper will be on the Terminal Maneuvering Area control sector of the Air Traffic Management framework. Adoption rates of maneuver patterns identified will also be computed and compared to uncover preferred methods of resolution maneuvers. The identified maneuver patterns will also be validated with eye tracking data to uncover unique signatures to the maneuver patterns for recommendations for the suitability of integration into the automation system. The performances of each experiment will be studied and correlated to the number of commands executed or number of fixations. An understanding of maneuver patterns used to resolve conflicts in the Terminal Maneuvering Area will help drive future automation acceptance to alleviate the human ATCOs’ workload. However, the overall results have concluded that the maneuver patterns and eye tracking signatures is not suited to for integration with an automation framework.en_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Mechanical engineeringen_US
dc.titleUnearthing strategies from visio-physiological data of traffic conflict situations in terminal maneuvering areaen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorLye Sun Wohen_US
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.description.degreeBachelor of Engineering (Mechanical Engineering)en_US
dc.contributor.researchAir Traffic Management Research Instituteen_US
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Appears in Collections:MAE Student Reports (FYP/IA/PA/PI)
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