Supplementary material: An Open-Source Data Generator for Joint Air Traffic Flow and Capacity Management Benchmarking

Supplementary material of the paper "An Open-Source Data Generator for Joint Air Traffic Flow and Capacity Management Benchmarking" by A. Beiser, T. Gräupl, G. Trausmuth and S. Woltran, submitted to the Journal of Open Aviation Science (proceedings of the 14th OpenSky Symposium).

preprint.pdf is the full paper with its two appendices, the differences from the first release of the datasets and the supplement to the statistical analysis. It is a preprint and has not yet been peer reviewed.

statistical_analysis_code.zip holds the Python code and the result files behind the paper's statistical validation (Section 5, the hold-out paragraph of Section 6, Appendix 1 and Appendix 2). Its script reproduce_paper.sh recomputes the measurement runs, the classifier runs and the sampling-floor sweep from the published files alone; rerun that way, all results were identical to the shipped ones. The code's README.md maps every table and figure of the paper to the script and command that produce it.

validation_instances_grid_regions.zip and validation_instances_xplane_regions.zip hold the instances of the validation that the two instance records do not contain: the additional seeds of the ten-seed scenarios and the hold-out sets generated from demand models fitted on the odd days of June 2019.

Licences: the preprint is CC-BY-4.0, the code MIT, the validation instances of the grid regions CC-BY-4.0 and those of the regions built on X-Plane waypoints GPL-2.0-or-later (see LICENSING.md). The datasets: 10.5281/zenodo.23039645 (large-scaling), 10.5281/zenodo.23039835 (small-scaling); benchmark results: 10.5281/zenodo.23039865.