Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/71209
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dc.contributor.authorLu, Patricia Chunqi
dc.date.accessioned2017-05-15T07:40:33Z
dc.date.available2017-05-15T07:40:33Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/10356/71209
dc.description.abstractDue to increasing air traffic volume, current air traffic control (ATC) systems are reaching their maximum capacity. As such, there is a compelling need for a better ATC system and a ready batch of well-trained ATCOs. While it is important to expand the current pool of ATCOs to cope with the constantly increasing air traffic demands, it is even more crucial to enhance their performance in the future ATC environment. In the first part of this study, the concepts of the Vertical Situation Display (VSD) aid, the Trajectory Prediction (TP) aid and the reliability of CRA were analysed to verify whether these information displays and CRA reliability would help reduce ATCOs’ workload and increase their Situational Awareness (SA). Results indicated that both the VSD and TP aid could significantly reduce ATCOs’ workload. Although there was no significant difference between VSD and TP, there was a trend of lower workload when ATCOs were equipped with VSD than with TP. Results also indicated that a reliable CRA could significantly reduce ATCOs’ workload and raise their SA. Although there was no significant difference between unreliable CRA and manual condition, there was a trend of higher SA when ATCOs were equipped with an unreliable CRA than without CRA. In the later part of this study, the author investigated the effects of the number of crossings, traffic flow and conflict situation on ATCOs’ physiological workload. The analysis of the Electroencephalogram (EEG) data obtained showed that only the number of crossings had a significant effect on ATCOs’ physiological workload. Yet, it was found that ATCOs’ physiological workload was slightly higher in 1:1 traffic flow than in 3:1 traffic flow condition though the difference was not significant. This study proved that equipping ATCOs with various aids could enhance their performance. Moreover, an understanding of the different factors that affect ATCOs’ workload and situational awareness allows new possibilities such as new information display designs and re-sectorisation to be explored.en_US
dc.format.extent99 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Aeronautical engineering::Aviationen_US
dc.titleAn EEG-based empirical analysis of information display, situational awareness and workload in air traffic controlen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorChen Chun-Hsienen_US
dc.contributor.supervisorKhoo Li Phengen_US
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.description.degreeBachelor of Engineering (Aerospace 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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