7th International Conference on Research in Air Traffic, 2016
The Federal Aviation Administration uses traffic management initiatives to prevent excessive congestion of airspace resources. We present a method that would aid in the planning of traffic management initiatives by identifying a representative set of initiatives that have been run in the past. In a more general unsupervised learning context, this method could be used to identify a small set of data points that are representative of the entire data set.
Recommended citation: Estes AS, Lovell DJ (2016) Identifying representative traffic management initiatives. Proc. 7th International Conference on Research in Air Traffic, 2016, Philadelphia, PA.