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AI-Based Air Traffic Control System Using Opensky API
Subject area: Science,Engineering and Technology · Area of research: Artificial Intelligence
Abstract
Air traffic management is an essential component of the current aviation system. With the rise of the number of aircraft flying across the globe, the conventional method of air traffic control is facing difficulties in handling large quantities of data. This paper focuses on an AI-based system for monitoring air traffic using the OpenSky Network API to access the required data. The system receives aircraft information such as altitude, velocity, etc., using the API. The received data is then analyzed using intelligent algorithms for the purpose of monitoring. The proposed system will be useful for the visualization of the movement of aircraft in the airspace, thus helping to identify possible congestion. The proposed AI-based system for monitoring air traffic will be beneficial for the efficient management of air traffic.
References
[1] Strohmeier, M., Olive, X., Lübbe, J., Schäfer, M., & Lenders, V. (2021). Crowdsourced air traffic data from the OpenSky Network 2019–2020. Earth System Science Data, 13, 357–366.
[2] Pandey, A., & Raja, R. (2024). Smart Skyways: Aerial Traffic Control Using AI Algorithms. Indian Journal of Science and Technology, 17(31), 3272–3280.
[3] Renkhoff, J., Wüstenbecker, N., Jameel, M., & Schier‑Morgenthal, S. (2025). Predicting and reconstructing clearances from air traffic data using supervised learning. CEAS Aeronautical Journal.
[4] Pepper, N., Keane, A., Hodgkin, A., et al. (2026). A Probabilistic Digital Twin of UK En Route Airspace for AI ATC Agents. arXiv preprint.
How to cite this paper
@article{1715022,
author = {Femy Tess John, Dr. N. Saranya},
title = {AI-Based Air Traffic Control System Using Opensky API},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {9},
pages = {507-511},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1715022.pdf},
abstract = {Air traffic management is an essential component of the current aviation system. With the rise of the number of aircraft flying across the globe, the conventional method of air traffic control is facing difficulties in handling large quantities of data. This paper focuses on an AI-based system for monitoring air traffic using the OpenSky Network API to access the required data. The system receives aircraft information such as altitude, velocity, etc., using the API. The received data is then analyzed using intelligent algorithms for the purpose of monitoring. The proposed system will be useful for the visualization of the movement of aircraft in the airspace, thus helping to identify possible congestion. The proposed AI-based system for monitoring air traffic will be beneficial for the efficient management of air traffic.},
month = {March},
doi = {https://doi.org/10.64388/IREV9I9-1715022}
}