If you find this project useful for your research, please considering cite this tool as::
@article{sun2019pymodes,
author={J. {Sun} and H. {V\^u} and J. {Ellerbroek} and J. M. {Hoekstra}},
journal={IEEE Transactions on Intelligent Transportation Systems},
title={pyModeS: Decoding Mode-S Surveillance Data for Open Air Transportation Research},
year={2019},
doi={10.1109/TITS.2019.2914770},
ISSN={1524-9050},
}
PyModeS is a Python library designed to decode Mode-S (including ADS-B) message. It can be imported to your python project or used as a standalone tool to view and save live traffic data.
This is a project created by Junzi Sun, who works at `TU Delft <https://www.tudelft.nl/en/>`_, `Aerospace Engineering Faculty <https://www.tudelft.nl/en/ae/>`_, `CNS/ATM research group <http://cs.lr.tudelft.nl/atm/>`_. It is supported by many `contributors <https://github.com/junzis/pyModeS/graphs/contributors>`_ from different institutions.
Introduction
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PyModeS is a Python library designed to decode Mode-S (including ADS-B) message. It can be imported to your python project or be used as a standalone tool to view and save live traffic data.
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pyModeS supports the decoding of following types of messages:
Messages with following Downlink Formats (DF) are supported: