NAS-Wide Performance: Impact of Select Uncertainty Factors and Implications for Experimental Design
Abstract
As Air Navigation Service Providers across the globe invest in and deploy operational upgrades in alignment with the ICAO Global ATM Operational Concept [1], performance justification is required for these investments [2]. Pre-deployment, these are frequently justified at a national or regional scale through modeling and simulation (M and S) activities quantifying the total performance impact of operational improvements. Often, these improvements can deliver value through relatively small changes in performance thereby necessitating M and S capabilities capable of differentiating the effect of the proposed improvement from the effect of modeling variability. One area of modeling variability which current M and S practices attempt to compensate for is the variation in performance occurring across days [3-4]. This is typically accomplished through the use of a carefully-selected set of days seeking to be representative of the NAS performance across a given year. These selected days are referred to as design days. Modeling is then performed on the design days and statistics are obtained to gather the performance under a baseline and a treatment case. Current practices model each day in the set of design days once, with averaging across all design days to yield annual estimates of performance.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2011
- Accession Number
- AD1108469
Entities
People
- Billy Jr Baden
- Gareth O. Coville
- Seli Agbolosu-amison
- Stphane Mondoloni
Organizations
- MITRE Corporation