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Air Traffic Controllers' Perspectives on Unmanned Aerial Vehicles Integration into Non-Segregated Airspace

Yıl 2024, , 153 - 165, 27.06.2024
https://doi.org/10.30518/jav.1475735

Öz

The integration of Unmanned Aerial Vehicles (UAVs) into non-segregated airspace presents both opportunities and challenges for air traffic control (ATC). The aim of the study is to explore the perspectives of air traffic controllers on the current and anticipated challenges, workload, stress factors, performance errors, and mitigation strategies related to UAV integration. The sample consisted of 213 air traffic controllers in Türkiye. UAV operations have been available in Türkiye not only for military purposes but also for purposes such as forest fires, earthquakes, security, and others for a long time, and these UAV operations are provided with air traffic services (ATS) by air traffic controllers. The results show that air traffic controllers are concerned about mid-air collisions due to UAV technology limits and regulatory gaps, along with managing risks and unique flight characteristics. Addressing technology limitations, regulatory ambiguity, and other factors necessitates a comprehensive strategy. Solutions must prioritize collision avoidance systems, clear communication guidelines, and defined no-fly zones. It is recommended that future studies focus on the comprehensive impact of UAVs on air traffic operations and the development of regulations.

Kaynakça

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Yıl 2024, , 153 - 165, 27.06.2024
https://doi.org/10.30518/jav.1475735

Öz

Kaynakça

  • Albaker, B. M., & Rahim, N. A. (2011). A conceptual framework and a review of conflict sensing, detection, awareness and escape maneuvering methods for UAVs. IntechOpen.
  • Ali, B. (2019). Traffic management for drones flying in the city. Int. J. Crit. Infrastructure Prot., 26.
  • Allouche, M. (2000). The integration of UAVs in airspace. Air & Space Europe, 2(1), 101-104.
  • Al-Mousa, A., Sababha, B. H., Al-Madi, N., Barghouthi, A., & Younisse, R. (2019). UTSim: A framework and simulator for UAV air traffic integration, control, and communication. International Journal of Advanced Robotic Systems, 16(5), 1729881419870937.
  • Ancel, E., Capristan, F. M., Foster, J. V., & Condotta, R. C. (2017). Real-time risk assessment framework for unmanned aircraft system (UAS) traffic management (UTM). In 17th AIAA Aviation Technology, Integration, and Operations Conference (p. 3273)
  • Anisetti, M., Ardagna, C., Carminati, B., Ferrari, E., & Perner, C. (2020). Requirements and Challenges for Secure and Trustworthy UAS Collaboration. 2020 Second IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA), 89-98.
  • Arblaster, M. (2018). 11: New Entrants into Airspace–Unmanned Aircraft (Drones) And Increased Space Transportation. Air Traffic Management, 235-255.
  • Bakare, A. K., & Junaidu, S. B. (2013). Integration of radar system with GPS-based traffic alert and collision avoidance system (TCAS) for approach control separation. Journal of Aviation Technology and Engineering, 2(2), 6.
  • Balcı, A. (2012). Research in Social Sciences (9th edition). Ankara: Pegem A Publishing.
  • Barfield, F. (2000). Autonomous collision avoidance: the technical requirements. Proceedings of the IEEE 2000 National Aerospace and Electronics Conference. NAECON 2000. Engineering Tomorrow (Cat. No.00CH37093), 808-813.
  • Başak, H., & Gülen, M. (2008). A Risk Measurement and Management Model for Preventing Unmanned Air Vehicle Accidents. Pamukkale University Journal of Engineering Sciences, 14(1), 55-65.
  • Baum, D., Neto, E., Almeida, J., Camargo, J., & Cugnasca, P. (2019). A Mindset-Based Evolution of Unmanned Aircraft System (UAS) Acceptance into the National Airspace System (NAS). IEEE Access, 8, 30938-30952.
  • Bauranov, A., & Rakas, J. (2021). Designing airspace for urban air mobility: A review of concepts and approaches. Progress in Aerospace Sciences, 125, 100726.
  • Bhatt, K., Pourmand, A., & Sikka, N. (2018). Targeted Applications of Unmanned Aerial Vehicles (Drones) in Telemedicine. Telemedicine journal and e-health: the official journal of the American Telemedicine Association, 24(11), 833-838.
  • Bongo, M., Alimpangog, K., Loar, J., Montefalcon, J., & Ocampo, L. (2017). An application of DEMATEL-ANP and PROMETHEE II approach for air traffic controllers’ workload stress problem: A case of Mactan Civil Aviation Authority of the Philippines. Journal of Air Transport Management, 68, 198-213.
  • Brookings, J., Wilson, G., & Swain, C. (1996). Psychophysiological responses to changes in workload during simulated air traffic control. Biological Psychology, 42, 361-377.
  • Büyüköztürk, Ş. (2005). Survey Development. The Journal of Turkish Educational Sciences, 3(2), 133-151.
  • Carr, E. B. (2013). Unmanned aerial vehicles: Examining the safety, security, privacy, and regulatory issues of integration into US airspace. National Centre for Policy Analysis (NCPA). Retrieved on September, 23(2013).
  • Cauwels, M., Hammer, A., Hertz, B., Jones, P., & Rozier, K. (2020). Integrating runtime verification into an automated UAS traffic management system. Innovations in Systems and Software Engineering, 18, 567-580.
  • Chin, C., Li, M. Z., & Pant, Y. V. (2022). Distributed Traffic Flow Management for Uncrewed Aircraft Systems. In 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (pp. 3625-3631). IEEE.
  • Colgren, R., & Holly, L. (2009). Flight dynamic requirements for UAVs-do they really exist. In AIAA Atmospheric Flight Mechanics Conference (p. 6323).
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  • Yılmaz, A., & Ulvi, H. (2022). Some Services to Be Provided and Technologies to Be Used for UAS Traffic Management (UTM) in Urban Airspace. Turkish Journal of Unmanned Aerial Vehicles, 4(1), 8-18.
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  • Zhu, G., & Wei, P. (2016). Low-altitude UAS traffic coordination with dynamic geofencing. In 16th AIAA Aviation Technology, Integration, And Operations Conference (p. 3453).
Toplam 108 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Hava-Uzay Ulaşımı
Bölüm Araştırma Makaleleri
Yazarlar

Arif Tuncal 0000-0003-4343-6261

Erken Görünüm Tarihi 25 Haziran 2024
Yayımlanma Tarihi 27 Haziran 2024
Gönderilme Tarihi 30 Nisan 2024
Kabul Tarihi 10 Haziran 2024
Yayımlandığı Sayı Yıl 2024

Kaynak Göster

APA Tuncal, A. (2024). Air Traffic Controllers’ Perspectives on Unmanned Aerial Vehicles Integration into Non-Segregated Airspace. Journal of Aviation, 8(2), 153-165. https://doi.org/10.30518/jav.1475735

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