Factor studies into the assessment of ATCO's level of comprehension of traffic scenarios
There is a need to improve current air traffic management systems to cope with the growing airspace demand. The ATCO’s situational awareness is essential in ensuring safe flight operations in the airspace, but it is limited by human factors. Technological advancements have enabled the use of physiol...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
Nanyang Technological University
2022
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/158640 |
| _version_ | 1826127885190037504 |
|---|---|
| author | Goh, Brendon Kai Lun |
| author2 | Lye Sun Woh |
| author_facet | Lye Sun Woh Goh, Brendon Kai Lun |
| author_sort | Goh, Brendon Kai Lun |
| collection | NTU |
| description | There is a need to improve current air traffic management systems to cope with the growing airspace demand. The ATCO’s situational awareness is essential in ensuring safe flight operations in the airspace, but it is limited by human factors. Technological advancements have enabled the use of physiological measures such as eye tracking to study situational awareness. The findings could be used to develop future air traffic management systems where technologies and systems can make use of eye tracking to understand the ATCO’s situational awareness and assist in the ATC operations.
Currently the relationship between an ATCO’s eye tracking metrics and his comprehension of an airspace situation has yet to be established. Hence, this study aims to investigate the relationship between the ATCO’s eye tracking behaviour and comprehension of the air traffic scenario, and to develop a model to predict and characterise the comprehension level base on the eye tracking behaviour exhibited by the ATCO. The study will focus on sector boundary management, conflict detection and holding management as the types of scenarios with varying difficulty levels.
Experiments are conducted for each scenario type, where the eye tracking data and scenario comprehension level of the participants will be recorded. These data would be analysed to establish a relationship and develop a model to characterise comprehension base on eye tracking metrics and the scenario difficulty level.
The models to predict comprehension were successfully developed for each scenario with an accuracy of 80%, 69% and 67% for sector boundary management, conflict detection and holding management respectively. However, the sample size is small, and more validation studies could be conducted to ensure the accuracy of the comprehension prediction models. |
| first_indexed | 2024-10-01T07:15:47Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/158640 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:15:47Z |
| publishDate | 2022 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1586402022-06-07T02:29:12Z Factor studies into the assessment of ATCO's level of comprehension of traffic scenarios Goh, Brendon Kai Lun Lye Sun Woh School of Mechanical and Aerospace Engineering Air Traffic Management Research Institute MSWLYE@ntu.edu.sg Engineering::Aeronautical engineering::Accidents and air safety There is a need to improve current air traffic management systems to cope with the growing airspace demand. The ATCO’s situational awareness is essential in ensuring safe flight operations in the airspace, but it is limited by human factors. Technological advancements have enabled the use of physiological measures such as eye tracking to study situational awareness. The findings could be used to develop future air traffic management systems where technologies and systems can make use of eye tracking to understand the ATCO’s situational awareness and assist in the ATC operations. Currently the relationship between an ATCO’s eye tracking metrics and his comprehension of an airspace situation has yet to be established. Hence, this study aims to investigate the relationship between the ATCO’s eye tracking behaviour and comprehension of the air traffic scenario, and to develop a model to predict and characterise the comprehension level base on the eye tracking behaviour exhibited by the ATCO. The study will focus on sector boundary management, conflict detection and holding management as the types of scenarios with varying difficulty levels. Experiments are conducted for each scenario type, where the eye tracking data and scenario comprehension level of the participants will be recorded. These data would be analysed to establish a relationship and develop a model to characterise comprehension base on eye tracking metrics and the scenario difficulty level. The models to predict comprehension were successfully developed for each scenario with an accuracy of 80%, 69% and 67% for sector boundary management, conflict detection and holding management respectively. However, the sample size is small, and more validation studies could be conducted to ensure the accuracy of the comprehension prediction models. Bachelor of Engineering (Aerospace Engineering) 2022-06-07T02:29:12Z 2022-06-07T02:29:12Z 2022 Final Year Project (FYP) Goh, B. K. L. (2022). Factor studies into the assessment of ATCO's level of comprehension of traffic scenarios. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158640 https://hdl.handle.net/10356/158640 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Aeronautical engineering::Accidents and air safety Goh, Brendon Kai Lun Factor studies into the assessment of ATCO's level of comprehension of traffic scenarios |
| title | Factor studies into the assessment of ATCO's level of comprehension of traffic scenarios |
| title_full | Factor studies into the assessment of ATCO's level of comprehension of traffic scenarios |
| title_fullStr | Factor studies into the assessment of ATCO's level of comprehension of traffic scenarios |
| title_full_unstemmed | Factor studies into the assessment of ATCO's level of comprehension of traffic scenarios |
| title_short | Factor studies into the assessment of ATCO's level of comprehension of traffic scenarios |
| title_sort | factor studies into the assessment of atco s level of comprehension of traffic scenarios |
| topic | Engineering::Aeronautical engineering::Accidents and air safety |
| url | https://hdl.handle.net/10356/158640 |
| work_keys_str_mv | AT gohbrendonkailun factorstudiesintotheassessmentofatcoslevelofcomprehensionoftrafficscenarios |