We unfortunately cannot share the raw dataset because of confidentiality reasons. However, we do provide a pre-trained landing and takeoff model for the KJFK airport.
$ git clone git@github.com:sisl/terminal-airspace-models.git
$ cd terminal-airspace-models
$ pip install -r requirements.txt
Follow the instructions in PreTrained.ipynb.
$ jupyter notebook PreTrained.ipynb
Run the cells in TrajectoryReconstruction.ipynb.
$ jupyter notebook TrajectoryReconstruction.ipynb
The PDF files used to conduct the Pilot Turing Test (PTT) are in the folder turing_test.
For example, for the KJFK airport:
Extract trajectories:
$ python extract_trajectories.py --data /scratch/tsaa_data/tsaa_raw_data --output data/jfk --place new_york --airport_altitude 12 \
--airport_lat 40.642591 --airport_lon -73.776100 --max_altitude 3000 --d_nm 5 --min_t 20 --max_t 500 --max_time_btwn_samples 40
Extract landing/takeoffs:
$ python extract_types.py --data data/jfk --close 2000
Smooth landing/takeoffs:
$ python smooth.py --data data/jfk --num_workers 6 --L_landings 125 --L_takeoffs 70 --num_extend 15
Train models with varying values of k:
$ python model.py --data data/jfk --experiment run0/
Evaluate models:
$ python evaluate.py --data data/kfrg --experiment run0/