Unearthing Air Traffic Control Officer Strategies from Simulated Air Traffic Data
| Autor: | Zainuddin Zakaria, Sun Woh Lye |
|---|---|
| Přispěvatelé: | School of Mechanical and Aerospace Engineering, 5th International Conference on Human Interaction and Emerging Technologies (IHIET 2021), Air Traffic Management Research Institute |
| Rok vydání: | 2021 |
| Předmět: |
Human-systems Integration
Operations research Computer science business.industry Volume (computing) ComputerApplications_COMPUTERSINOTHERSYSTEMS Human factors integration Air traffic control Automation Air Traffic Control law.invention Officer Identification (information) law Aeronautical engineering [Engineering] Radar business |
| Zdroj: | Human Interaction, Emerging Technologies and Future Systems V ISBN: 9783030855390 IHIET (Paris) |
| DOI: | 10.1007/978-3-030-85540-6_46 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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