Characterizing and classifying historical days based on weather and air traffic
Kenneth D. Kuhn, Akhil Shah, Christopher Skeels · 2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC) · 2015
This article describes our identification of sets of similar days where similarity is defined in terms of the conditions relevant to the planning of an air traffic flow management initiative. The work here represents a first step toward the construction of a decision support tool for dispatchers at airline operations centers and officials at the Federal Aviation Administration Air Traffic Control System Command Center. A side product of our work is an taxonomy of reasonable approaches for categorizing calendar days in aviation systems research.