AI-Enabled Risk Forecasting in Air Traffic Control

Synthetic dataset for the study “AI-Enabled Risk Forecasting in Air Traffic Control.” It mirrors realistic ranges and correlations of ATC operational variables (controller workload, weather severity, sector complexity, traffic volume, experience, staffing, etc.) to enable open reproducibility while protecting sensitive operational data. Package includes a data dictionary, training/evaluation code (calibration, SHAP, decision-curve), model card, and changelog. Intended for benchmarking, methodological audit, and extending the framework to broader transportation safety contexts.