Abstract
▪ Research demonstrated viability of assessing the impact of blocking airspaces, using a “what-if” analysis paradigm ▪ Data reduction technique resulted in efficiency data size and memory management, with negligible loss in accuracy ▪ Traffic projection model performed well, given the uncertainties of traffic pattern ▪ Research results are preliminary, further study to evaluate sensitivity of model performance to constraints such as location, airspace size and closure time are ongoing ▪ Alternate approach to projection based on using a grid to capture traffic is being explored ▪ Assessing additional impact metrics, namely delay and extra distance is being researched.
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