Massively Parallel Processing for Dynamic Airspace Configuration

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX11CD17P
Agency Tracking Number: 105472
Amount: $99,918.00
Phase: Phase I
Program: SBIR
Awards Year: 2011
Solitcitation Year: 2010
Solitcitation Topic Code: A3.01
Solitcitation Number: N/A
Small Business Information
Mosaic ATM, Inc.
VA, Leesburg, VA, 20175-5686
Duns: 164558376
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Bart Gallet
 Principal Investigator
 (301) 706-6784
 bgallet@mosaicatm.com
Business Contact
 Chris Stevenson
Title: Business Official
Phone: (540) 454-7458
Email: stevenson@mosaicatm.com
Research Institution
 Stub
Abstract
Through extensive research conducted by Mosaic ATM in the area of Dynamic Airspace Configuration (DAC), we have identified the significant benefit of the use of Dynamic Density (DD) as the DAC objective function. The use of DD as the objective function allows the DAC algorithm to directly address critical aspects of sector design beyond simple balancing of the flight counts. These sector design considerations include the alignment of sector boundaries with flow direction, proximity of conflict points to sector boundaries, and boundary alignment with respect to vertical traffic movement. By using DD as the objective function, we generate a multi-objective optimization approach that considers both efficiency and complex controller workload issues. The SectorFlow DAC algorithm has performed well in NASA's DAC algorithm comparison experiments. However, due to the additional computational complexity caused by the use of DD as the objective function, only limited application of DD as the objective function was conducted. In this proposed SBIR effort, Mosaic ATM will apply a massively parallel computing architecture to the DAC algorithm using DD as an objective function to demonstrate and evaluate both the computational advantages of massively parallel processing, and the benefits of using DD as the objective function in DAC.

* information listed above is at the time of submission.

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