OpenSky Report 2025

Improving Crowdsourced Flight Trajectories with ADS-C Data

Conference Paper (2025)
Author(s)

Junzi Sun (OpenSky Network, TU Delft - Operations & Environment)

Xavier Olive (OpenSky Network, ENSIACET)

Martin Strohmeier (OpenSky Network)

Vincent Lenders (OpenSky Network)

Research Group
Operations & Environment
DOI related publication
https://doi.org/10.1109/ICNS65417.2025.10976963
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Publication Year
2025
Language
English
Research Group
Operations & Environment
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
ISBN (electronic)
9798331534738
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Abstract

The OpenSky Network has been collecting and providing crowdsourced air traffic surveillance data since 2013. The network has primarily focused on Automatic Dependent Surveillance-Broadcast (ADS-B) data, which provides highfrequency position updates over terrestrial areas. However, the ADS-B signals are limited over oceans and remote regions, where ground-based receivers are scarce. To address these coverage gaps, the OpenSky Network has begun incorporating data from the Automatic Dependent Surveillance-Contract (ADS-C) system, which uses satellite communication to track aircraft positions over oceanic regions and remote areas. In this paper, we analyze a dataset of over 720,000 ADS-C messages collected in 2024 from around 2,600 unique aircraft via the Alphasat satellite, covering Europe, Africa, and parts of the Atlantic Ocean. We present our approach to combining ADS-B and ADS-C data to construct detailed long-haul flight paths, particularly for transatlantic and African routes. Our findings demonstrate that this integration significantly improves trajectory reconstruction accuracy, allowing for better fuel consumption and emissions estimates. We illustrate how combined data captures flight patterns across previously underrepresented regions across Africa. Despite coverage limitations, this work marks an important advancement in providing open access to global flight trajectory data, enabling new research opportunities in air traffic management, environmental impact assessment, and aviation safety.

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File under embargo until 10-11-2025