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

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

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