/so6-to-occupancy

Determine ATC occupancies in airspace volumes from so6 traffic file

Primary LanguageJupyter NotebookMIT LicenseMIT

So6 to occupancy

Determine ATC occupancy in airspace volumes from so6 traffic file

Flight data are managed with pandas / GeoPandas dataframes

Trajectories are built with movingpandas and intersections with airspace polygons are calculated with movingpandas functions

Example 1: portions of trajectories intersecting LFBB airspace during a given timeframe

trajs

Example 2: occupancy chart for the entire day (step 30 min, duration 60 min)

flight

Running the tests

Run the demo_occupancy notebook to see how to build these examples with so6trajs module

Built With

  • pandas - Python Data Analysis Library

  • GeoPandas - GeoPandas is an open source project which extends the datatypes used by pandas to allow spatial operations on geometric types.

  • movingpandas - Implementation of Trajectory classes and functions built on top of GeoPandas

Authors

  • Thomas Dubot

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

Thanks to https://github.com/jbedouet for GeoJSON example and ATFCM expertise