Integrating pyModeS and OpenSky Historical Database

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Authors Junzi Sun, J. Hoekstra
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Paper Abstract Integrating pyModeS and OpenSky Historical Database 10 pages•Published December 23, 2019 Junzi Sun and Jacco Hoekstra Abstract A large quantity of Mode S data is being gathered by the OpenSky receiver network every day. Information regarding common flight states, such as position, ground speed, and the vertical rate is broadcast by ADS-B and has already been decoded and made available for researchers via the OpenSky historical database. However, there is still a large amount of Mode S communication data that has not yet been fully explored. Specifically, the information contained in Enhanced Mode S Surveillance downlink messages can be utilized to better support ATM research. The challenge of decoding such information lies in the implicit inference process for Mode S Comm-B messages. This paper presents a new open library, pymodes-opensky, which connects the existing open-source pyModeS decoder to the raw Mode S messages from the OpenSky historical database through the Impala shell. It also presents a convenient workflow that can be used to obtain additional information regarding airspeeds, flight intentions, and meteorological conditions of a given flight from the OpenSky database. An analysis based on a global dataset from OpenSky is conducted, and the associated Mode S interrogation statistics in different regions are shown. Keyphrases Mode-S, OpenSky, pyModeS, pymodes-opensky In Christina Pöpper and Martin Strohmeier (editors). Proceedings of the 7th OpenSky Workshop 2019, vol 67, pages 63--72 Links https//easychair.org/publications/paper/f7Wc https//doi.org/10.29007/mmsb BibTeX entry, Keyphrases Mode-S, OpenSky, pyModeS, pymodes-opensky, In Christina Pöpper and Martin Strohmeier (editors). Proceedings of the 7th OpenSky Workshop 2019, vol 67, pages 63--72
Date of publication 2019
Code Programming Language Python
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