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ACES-Based Testbed and Bayesian Game-Theoretic Framework for Dynamic Airspace Configuration

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX10CA03C
Agency Tracking Number: 085125
Amount: $600,000.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: A3.01
Solicitation Number: N/A
Timeline
Solicitation Year: 2008
Award Year: 2010
Award Start Date (Proposal Award Date): 2009-12-01
Award End Date (Contract End Date): 2011-11-30
Small Business Information
15400 Calhoun Drive, Suite 400
Rockville, MD 20855-2737
United States
DUNS: 161911532
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Goutam Satapathy
 Principal Investigator
 (301) 294-5249
 goutam@i-a-i.com
Business Contact
 Mark James
Title: Business Official
Phone: (301) 294-5221
Email: mjames@i-a-i.com
Research Institution
N/A
Abstract

This SBIR effort is focused on developing a Dynamic Airspace Configuration (DAC) concept where-in ARTCCs can benefit from re-configuring airspaces based on Traffic Flow Management (TFM) restrictions, and the development of a preliminary Airspace Concept Evaluation System (ACES)-framework and initial algorithms to demonstrate that ARTCCs need to engage in a coordination framework of exchanging TFM restriction until they determine mutually-agreeable optimal airspace configuration. The development of algorithms that leverage and recognize the interactions and interdependencies between DAC and TFM is the key innovation of this effort. Some examples of expected operational improvements include 1) reduction in congestion and delays when sector capacities (Monitoring Alert Parameter or Dynamic Density) are violated, 2) reduction in controller workload and improved safety, 3) ability to accommodate user preferred routes and weather uncertainty and 4) achieve a balance between airborne delay and grounding holding delay. The SBIR Phase-I effort demonstrated how a combined DAC-TFM algorithm determines an optimal airspace configuration different from a DAC-only algorithm and could result in minimization of peak count and dwell time variance. The effort also included the design and preliminary implementation of a TFM model that uses ARTCC sector configuration to determine the delays that is generated, absorbed and propagated. The Phase II effort includes development of DAC-TFM framework as an enhancement to NASA's ACES- DADS (Dynamic Airspace Design Service) work and interaction of NASA's airspace partitioning DAC algorithms such as MxDAC, DAU slicing and Sector Combination algorithms with the TFM models using the same framework.

* Information listed above is at the time of submission. *

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