Integrating pyModeS and OpenSky Historical Database

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Abstract

A large quantity of Mode S data is being gathered by the OpenSky receiver network every day. Information regarding common ight 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. Speci_cally, 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 workow that can be used to obtain additional information regarding airspeeds, ight intentions, and meteorological conditions of a given ight from the OpenSky database. An analysis based on a global dataset from OpenSky is conducted, and the associated Mode S interrogation statistics in di_erent regions are shown.
Original languageEnglish
Title of host publicationProceedings of the 7th OpenSky Workshop 2019
Editors Christina Pöpper, Martin Strohmeier
Pages63-72
Number of pages11
Volume67
Publication statusPublished - 2019
Event7th OpenSky Workshop 2019 - Zurich, Switzerland
Duration: 21 Nov 201922 Nov 2019
Conference number: 7

Publication series

NameEPiC Series in Computing
ISSN (Print)2398-7340

Workshop

Workshop7th OpenSky Workshop 2019
CountrySwitzerland
CityZurich
Period21/11/1922/11/19

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