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Warianty tytułu
Języki publikacji
Abstrakty
The current article deals with the creation of a simulation exercise intended to train air traffic controllers at an unnamed airport. Simulation exercises enable air traffic controllers to practice possible scenarios that may occur in reality and to practice and improve previously acquired skills. Simulation exercises can be designed based on tasks that the manager has to attempt or complete. Air traffic controller training is usually designed so that their workload is gradually increased up to the highest adjustable threshold. It is important that each controller can handle the set number of aircraft declared by the airport operator and be trained for the possible maximum load that may occur. Air traffic control centers, thus, pay attention to the creation of simulations to induce a high workload for controllers. The goal is to present a methodology for the efficient and quick creation of simulation exercises with the possibility of evaluating their difficulty and creating an exercise that will put the air traffic controller under a high level of stress. Empirical measurements of the composition of aircraft types in the TMA for a specified period and measurements of the duration of individual tasks performed by air traffic controllers to control traffic were taken to indicate the number of possible variants for the creation of exercises. A proposal for exercises for the overload of air traffic controllers was also created.
Czasopismo
Rocznik
Tom
Strony
133--140
Opis fizyczny
Bibliogr. 24 poz.
Twórcy
autor
- University of Defence; Kounicova 65, 602 00, Brno, Czech Republic
autor
- University of Defence; Kounicova 65, 602 00, Brno, Czech Republic
Bibliografia
- 1. Hopkins, V.D. Human Factors in Air Traffic Control. Taylor & Francis. 1995. ISBN: 9780748403578.
- 2. Majeed, M. Online estimation of terminal airspace sector capacity from ATC workload. Air Traffic Management and Control. DOI: 10.5772/intechopen.100274.
- 3. Chatterji, G. & Sridhars, B. Measures for air traffic controller workload prediction. 1st AIAA, Aircraft, Technology Integration, and Operations Forum. 2001. DOI: https://doi.org/10.2514/6.2001-5242.
- 4. Majumdar, A. & Ochieng, W.Y. Factors affecting air traffic controller workload: multivariate analysis based on simulation modeling of controller workload. Transportation Research Record: Journal of the Transportation Research Board. 2002. Vol. 1788(1). P. 58-69. ISSN: 0361-1981. DOI: 10.3141/1788-08.
- 5. Di Mascio, P. & Carrara, R. & Frasacco, L. & Luciano, E. & Ponziani, A. & et al. How the tower air traffic controller workload influences the capacity in a complex three-runway airport. International Journal of Environmental Research and Public Health. 2021. Vol. 18(6). ISSN: 1660-4601. DOI: 10.3390/ijerph18062807.
- 6. Soeadyfa Fridyatama, D.A. & Suparji, S. & Sumbawati, M.S. Developing air traffic control simulator for laboratory. TEM Journal. Vol. 12(3). P. 1462-1474. ISSN: 2217-8333. DOI: 10.18421/TEM123-26.
- 7. Fatigue Management Guide for Air Traffic Service Providers. International Civil Aviation Organization, 2016.
- 8. Yazgan, E. & Sert, E. & Şimsek, D. Overview of studies on the cognitive workload of the air traffic controller. International Journal of Aviation Science and Technology. 2021. Vol. 2(1). P. 28-36. ISSN: 2687-525X. 10.23890/IJAST.vm02is01.0104.
- 9. Galy, E. & Paxion, J. & Berthelon, C. Measuring mental workload with the NASA-TLX needs to examine each dimension rather than relying on the global score: an example with driving. Ergonomics. 2018. Vol. 61(4). P. 517-527. ISSN: 0014-0139. DOI: 10.1080/00140139.2017.1369583.
- 10. Suárez, N. & López, P. & Puntero, E. & Rodriguez, S. Quantifying Air Traffic Controller Mental Workload. 2014. Available at: https://www.researchgate.net/publication/289653261.
- 11. Wickens, C.D. & Mccarly, J.S. Applied Attention Theory. Boca Raton. CRC Press. 2019. DOI: 10.1201/9780429059261.
- 12. Hilburn, B. Cognitive complexity in air traffic control – A literature review. EEC Note 04/04, Eurocontrol. 2004.
- 13. Mehta, R.K. & Parasuraman, R. Effects of mental fatigue on the development of physical fatigue. Human Factors: The Journal of the Human Factors and Ergonomics Society. 2014. Vol. 56(4). P. 645-656. ISSN: 0018-7208. DOI: 10.1177/0018720813507279.
- 14. Van Cutsem, J. & Marcora, S. & De Pauw, K. & Bailey, S. & Meeusen, R. & et al. The effects of mental fatigue on physical performance: a systematic review. Sports Medicine. 2017. Vol. 47(8). P. 1569-1588. ISSN: 0112-1642. DOI: 10.1007/s40279-016-0672-0.
- 15. Lorist, M.M. & Boksem, Maarten, A.S. & Ridderinkhof, K.R. Impaired cognitive control and reduced cingulate activity during mental fatigue. Cognitive Brain Research. 2005. Vol. 24(2). P. 199-205. ISSN: 09266410. DOI: 10.1016/j.cogbrainres.2005.01.018.
- 16. Athenes, S. & Averty, P. & Puechmorel, S. & Delahaye, D. & Collet, C. ATC complexity and controller workload: trying to bridge the gap. HCI-02 Proceedings. 2002.
- 17. Pessimistic sector capacity estimation. European Organization for the Safety of Air Navigation. 2003.
- 18. Skybrary Aviation Safety. Situational Awareness. SKYbrary. 2024. Available at: https://skybrary.aero/articles/situational-awareness.
- 19. Harcar, I. & Antoso, M. & Fabry, N. & Nemethova, H. & Sutak, N. & et al. Training models for military air traffic controllers. 2020 New Trends in Aviation Development (NTAD). 2020. P. 89-92. ISBN: 978-1-7281-7325-2. DOI: 10.1109/NTAD51447.2020.9379105.
- 20. Operational Concept Validation. FAA/EUROCONTROL, COOPERATIVE R&D, European Air Traffic Management Program, Edition 1.3. 2003. Available at: http://www.eurocontrol.int/faaeuro/APgroup-meetings/AP5/OCVSD%20-V1-3.pdf.
- 21. Development of Transport by Telematics. Communications in Computer and Information Science. 2019. Cham: Springer International Publishing. 2019. ISBN: 978-3-030-27546-4. Available at: http://link.springer.com/10.1007/978-3-030-27547-1_26.
- 22. ICAO, 2001. Aeronautical Telecommunications (Annex 10). International Civil Aviation Organization, Chicago.
- 23. Hanakova, L. & et al. 2017. Determining importance of physiological parameters and methods of their evaluation for classification of pilots psychophysiological condition. 2017 International Conference on Military Technologies (ICMT). Brno, Czech Republic. P. 500-506. DOI: 10.1109/MILTECHS.2017.7988810.
- 24. Ulvr, J. & Mach, O. & Rackova, P. & Rusnakova, K. & Smrz, V. New personality evaluation of pilot candidates in Czech Air Force. 2023 New Trends in Aviation Development (NTAD). 2023. P. 256-261. ISBN: 979-8-3503-7041-6. DOI: 10.1109/NTAD61230.2023.10380134.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fcd63588-d1c0-4ba4-9a3a-bd08a3adf180
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