Academia Open
Vol 10 No 1 (2025): June (In Progress)
Engineering

Digitalization in Air Traffic Management and Enhancement of Personnel Training Technologies
Digitalisasi dalam Manajemen Lalu Lintas Udara dan Peningkatan Teknologi Pelatihan Personel


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  • Shukurova Sabohat*,
  • Murodov Muhriddin
Shukurova Sabohat
Tashkent State Transport University, Faculty of Aviation Transport Engineering, Uzbekistan *
Murodov Muhriddin
Tashkent State Transport University, Faculty of Aviation Transport Engineering, Uzbekistan

(*) Corresponding Author
Picture in here are illustration from public domain image or provided by the author, as part of their works
DOI: https://doi.org/10.21070/acopen.10.2025.10783
Published March 25, 2025
Keywords
  • Air Traffic Management,
  • Digitalization,
  • System Modeling,
  • Training Technology,
  • Uzbekistan Aviation
How to Cite
Sabohat, S., & Muhriddin , M. (2025). Digitalization in Air Traffic Management and Enhancement of Personnel Training Technologies. Academia Open, 10(1), 10.21070/acopen.10.2025.10783. https://doi.org/10.21070/acopen.10.2025.10783

Copyright (c) 2025 Shukurova Sabohat, Murodov Muhriddin

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

General Background: The rapid advancement of digital technologies offers transformative possibilities for improving Air Traffic Management (ATM) and enhancing personnel training systems. Specific Background: In Uzbekistan, air navigation development is undergoing modernization, yet the adoption of advanced digital tools remains limited. Knowledge Gap: Despite global progress in digitalizing ATM, there is a lack of comprehensive evaluation on how digital tools impact both operational efficiency and the effectiveness of air traffic controller (ATC) training, particularly in developing aviation environments like Uzbekistan. Aims: This study aims to assess the integration of digital technologies in Uzbekistan’s ATM processes using a system modeling approach, focusing on operational improvements and training outcomes. Results: The findings demonstrate that AI-based decision support systems, real-time data analytics, radar automation, and virtual reality (VR) training platforms significantly enhance airspace safety, communication accuracy, and skill acquisition. System modeling, supported by MATLAB Simulink and Arena Simulation, revealed quantifiable improvements in traffic management efficiency and trainee performance. Novelty: This study provides the first systematic evaluation of digital ATM integration in Uzbekistan, offering empirical evidence on how these technologies align with ICAO and EUROCONTROL standards while addressing region-specific challenges. Implications: The results inform future policy directions, advocating for strategic digital adoption to modernize ATM infrastructure and improve ATC personnel readiness, with potential applicability to other developing aviation systems.

Highlights:

  1. Digital technologies transform Air Traffic Management (ATM) and training systems.
  2. AI tools and VR training improve ATM efficiency and skill acquisition.
  3. Supports digital adoption for modernizing Uzbekistan's ATM and enhancing ATC readiness.

Keywords: Air Traffic Management; Digitalization; System Modeling; Training Technology; Uzbekistan Aviation

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