Airport Configuration Planner with Optimized Weather Forecasts

Award Information
Agency:
National Aeronautics and Space Administration
Amount:
$99,955.00
Program:
SBIR
Contract:
NNX07CA12P
Solitcitation Year:
2006
Solicitation Number:
N/A
Branch:
N/A
Award Year:
2007
Phase:
Phase I
Agency Tracking Number:
065904
Solicitation Topic Code:
A3.02
Small Business Information
Metron Aviation, Inc.
131 Elden Street, Suite 200, Herndon, VA, 20170-4758
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
118463475
Principal Investigator
 Laurel Stell
 Principal Investigator
 (703) 234-0796
 stell@metronaviation.com
Business Contact
 David Gaul
Title: Business Official
Phone: (703) 787-8700
Email: gaul@metronaviation.com
Research Institution
N/A
Abstract
The core planning algorithms to support the NGATS concepts will need accurate predictions of airport configuration over planning horizons of six hours or more. Such predictions are not currently feasible because the configuration often is not completely determined by factors such as weather forecasts, future demand, and noise restrictions that might be input to an automated predictor. When this is the case, the air traffic control tower personnel choose between the feasible configurations based on factors such as staffing issues and individual controller preferences. Furthermore, the primary meteorological forecasts currently available to the tower are not adequate to enable accurate runway usage prediction. In fact, they often fail to predict required changes in flow direction, causing reactive rather than proactive airport configuration management. In this SBIR, Metron Aviation and WSI Corporation will jointly develop an airport configuration planner incorporating optimized weather forecasts to assist tower controllers in planning runway usage more accurately at longer time horizons than currently possible and to communicate the plan to appropriate National Airspace System (NAS) stakeholders and planning systems. The optimization algorithms in this decision support tool will improve resource allocation not only at individual airports but also over all airports in a metropolitan area.

* information listed above is at the time of submission.

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