Why Air Traffic Control Must Be Modernized to Safely Integrate Unmanned Aerial Vehicles

Andrew RenaultGrad Student, Dept. of Aeronautical Science, Capital Technology University, Maryland, USA

Vol 10 No 8 (2026): Volume 10, Issue 8, August 2026 | Pages: 112-122

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 31-08-2026

doi Logo doi.org/10.47001/IRJIET/2026.108012

Abstract

The rapid expansion of unmanned aerial vehicle (UAV) operations is transforming the aviation industry and introducing new challenges for Air Traffic Control (ATC) systems that were originally designed to manage cooperative, crewed aircraft operating within predictable airspace environments. As UAVs become increasingly integrated into the National Airspace System (NAS), legacy surveillance, communication, and traffic management infrastructures face growing limitations in supporting safe, efficient, and reliable operations. This paper examines the evolution of ATC, the growth of UAV operations and global air traffic, the operational constraints of legacy ATC systems, and the emerging technological, cybersecurity, human factors, and regulatory challenges associated with integrating UAVs into controlled airspace. It argues that incremental technological improvements alone are insufficient to address these challenges and that effective modernization requires a comprehensive systems-level approach that integrates surveillance, secure communications, automation, cybersecurity, regulatory frameworks, and human decision-making. By establishing the operational context and defining the need for comprehensive ATC modernization, this paper provides the conceptual foundation for the subsequent literature review and empirical research presented in this dissertation. The findings emphasize that understanding current modernization strategies, technological capabilities, and remaining research gaps is essential for supporting the safe and efficient coexistence of crewed and uncrewed aircraft within increasingly complex airspace.

Keywords

Air Traffic Control, ATC modernization, unmanned aerial vehicles, UAV integration, National Airspace System, surveillance systems, cybersecurity, systems engineering


Citation of this Article

Andrew Renault. (2026). Why Air Traffic Control Must Be Modernized to Safely Integrate Unmanned Aerial Vehicles. International Research Journal of Innovations in Engineering and Technology - IRJIET, 10(8), 112-122. Article DOI https://doi.org/10.47001/IRJIET/2026.108012

References
A. Degas et al., "A survey on artificial intelligence (AI) and eXplainable AI in air traffic management," Applied Sciences, vol. 12, no. 3, p. 1295, 2022. doi: https://doi.org/10.3390/app12031295

C. Cummings, “Air traffic flow and congestion of the skies,” 2022. [Online]. Available: https://www.proquest.com/dissertations-theses/air-traffic-flow-congestion-skies-models-insights/docview/2707696219/se-2

J. Z. Wells, “Application of path prediction techniques for unmanned aerial system operations,” 2021. [Online]. Available: https://www.proquest.com/dissertations-theses/application-path-prediction-techniques-unmanned/docview/2735849146/se-2

Y. Pang, “Artificial intelligence-enhanced predictive modeling in air traffic management,” 2023. [Online]. Available: https://www.proquest.com/dissertations-theses/artificial-intelligence-enhanced-predictive/docview/2814233441/se-2

C. Xia et al., "A conflict risk analysis of MAV/UAV flight in shared airspace," International Journal of Aerospace Engineering, vol. 2021, pp. 1–14, 2021. doi: https://doi.org/10.1155/2021/1692896

Alliance for Aviation Across America, “Air traffic control modernization and NextGen,” 2023. [Online]. Available: https://aviationacrossamerica.org/issues/atc-modernization/

A. Hamissi and A. Dhraief, "A survey on the unmanned aircraft system traffic management," ACM Computing Surveys, vol. 56, no. 3, Art. 68, 2024. doi: https://doi.org/10.1145/3617992

P. Domogala and P. Marien, “100 years of air traffic control,” 2022. [Online]. Available: https://ifatca.org/100-years-air-traffic-control/

R. T. Q. Overmyer, “Democratization of aviation,” 2023. [Online]. Available: https://www.proquest.com/dissertations-theses/democratization-aviation-content-analysis/docview/2854824094/se-2

M. S. Krämer and K. D. Kuhnert, "Multi-sensor fusion for UAV collision avoidance," in Proceedings of the 2018 2nd International Conference on Mechatronics Systems and Control Engineering, 2018. doi: https://doi.org/10.1145/3185066.3185081

D. Sacharny, “A lane-based approach to large-scale unmanned aircraft systems traffic management,” 2022. [Online]. Available: https://www.proquest.com/dissertations-theses/lane-based-approach-large-scale-unmanned-aircraft/docview/2735900420/se-2

S. U. Gunawardana, “A rule-based dialog management system for integration of unmanned aerial systems into the national airspace system,” 2012. [Online]. Available: https://www.proquest.com/dissertations-theses/rule-based-dialog-management-system-integration/docview/2454363866/se-2

C. J. Boyer, “Air traffic leadership perceptions on the use of machine learning for air traffic safety,” 2020. [Online]. Available: https://www.proquest.com/dissertations-theses/air-traffic-leadership-perceptions-on-use-machine/docview/2559697262/se-2

FAA, Aerospace Forecast: Fiscal Years 2021–2041, U.S. Department of Transportation, 2021. [Online]. Available: https://www.faa.gov/data_research/aviation/aerospace_forecasts/

S. Khandker et al., "Cybersecurity attacks on ADS-B implementations," IEEE Transactions on Aerospace and Electronic Systems, vol. 58, no. 4, pp. 2702–2719, 2022. doi: https://doi.org/10.1109/taes.2021.3139559

FAA, Aerospace Forecast: Fiscal Years 2024–2044, U.S. Department of Transportation, 2021. [Online]. Available: https://www.faa.gov/data_research/aviation/aerospace_forecasts/

IATA, 20 Year Passenger Forecast, 2024. [Online]. Available: https://www.iata.org/en/services/data/market-data/20-year-passenger-forecast/

Boeing, Commercial Market Outlook 2024–2043, 2024. [Online]. Available: https://www.boeing.com/commercial/market/commercial-market-outlook/

Airbus, Global Market Forecast 2024–2043, 2024. [Online]. Available: https://www.airbus.com/en/products-services/commercial-aircraft/global-market-forecast

C. A. Harris, “ATC specialists' perceptions of simulation for developing job-related competencies,” 2021. [Online]. Available: https://www.proquest.com/dissertations-theses/air-traffic-control-specialists-perceptions/docview/2620068007/se-2

F. L. Lazaro et al., "Human factors in aviation accidents," Applied Sciences, vol. 14, no. 2, 2024. doi: https://doi.org/10.3390/app14020640

T. H. Aldhyani and H. Alkahtani, "Cybersecurity algorithms for autonomous vehicles," Sensors, vol. 22, no. 1, 2022. doi: https://doi.org/10.3390/s22010360

A. Ray, “Machine learning-based spectrum fingerprinting,” 2023. [Online]. Available: https://www.proquest.com/dissertations-theses/machine-learning-based-spectrum-fingerprinting/docview/2808151612/se-2

L. P. Armbrister, “Automation in aviation safety,” 2023. [Online]. Available: https://www.proquest.com/dissertations-theses/automation-aviation-advancement-hindrance-safety/docview/2861553125/se-2      

A. Reyes-Muñoz et al., "RPAS contingency management in non-segregated airspace," Applied Sciences, 2023. doi: https://doi.org/10.3390/app13031408

T. T. İnan and N. G. İnan, "Factors in fatal aviation accidents," 2022. doi: https://doi.org/10.15394/ijaaa.2022.1672

F. P. Moreno et al., "Machine learning models for air traffic complexity," Symmetry, vol. 14, no. 12, 2022. https://doi.org/10.3390/sym14122629

M. Jones et al., "UAV path-planning for complex environments," 2023. doi: https://doi.org/10.1145/3570723

K. H. Chelioti et al., "UAV monitoring advancements for infrastructure," 2023. doi: https://doi.org/10.32738/jeppm-2023-0023

F. Enayatollahi et al., "PBN-based ATC with cellular automata," 2021. doi: https://doi.org/10.1109/taes.2020.3048787

J. Hicks, “Aviation Systems–Trust Survey Development,” 2023. [Online]. Available: https://www.proquest.com/dissertations-theses/generalizable-method-case-application-development/docview/2814746979/se-2

K. J. O'Donnell, Improving ADS-B console functionality, 2020. [Online]. Available: https://www.proquest.com/dissertations-theses/exploring-strategies-human-computer-interaction/docview/2429005268/se-2

C. Li and J. Zhang, "Swarm intelligence and UAV management," Journal of Aerospace Information Systems, vol. 21, no. 3, pp. 180–192, 2023. doi: https://doi.org/10.2514/1.I010934

A. Renault and M. Johnson, “Navigating the Skies: The Necessity for Upgrading Air Traffic Control Systems,” International Research Journal of Engineering and Technology (IRJET), vol. 11, no. 10, pp. 626–632, Oct. 2024. [Online]. Available: https://www.irjet.net/archives/V11/i10/IRJET-V11I1091.pdf

A. Renault, “Seeing the Unseen: A Literature Review of UAV Detection Gaps and Surveillance and Security Solutions for ATC Modernization,” International Research Journal of Engineering and Technology (IRJET), vol. 12, no. 5, pp. 1541–1551, May 2025. [Online]. Available: https://www.irjet.net/archives/V12/i5/IRJET-V12I5233.pdf

lt, “Designing Safer Skies: Evaluating UAV and ATC System Interactions through Simulation and Qualitative Analysis,” International Research Journal of Engineering and Technology (IRJET), vol. 12, no. 9, pp. 461–485, Sept. 2025. [Online]. Available: https://www.irjet.net/archives/V12/i9/IRJET-V12I966.pdf

A. Renault, "Toward Safer Skies: An Exegesis of UAV and ATC Modernization Through Integrated Research," Int. Res. J. Eng. Technol. (IRJET), vol. 12, no. 12, pp. 267-287, Dec. 2025.[Online]. Available: https://www.irjet.net/archives/V12/i12/IRJET-V12I1245.pdf