Predicting performance of ground delay programs.
Published in 12th USA/Europe Air Traffic Management R&D Seminar, 2017
Recommended citation: Estes AS, Ball MO, Lovell DJ (2017) Identifying representative traffic management initiatives. Proc. 12th USA/Europe Air Traffic Management R&D Seminar, 2017, Seattle, WA.
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Models are proposed to estimate the performance of Ground Delay Programs as air traffic management initiatives. We apply Random Forest and Gradient-Boosted Forest regression techniques within the context of Geographically Weighted Regression. We estimate both the mean and 90th percentile responses for two performance indicators: average arrival delay and the number of cancelled arrivals.