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Computational Appliance for Rapid Prediction of Aircraft Trajectories

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX08CA02C
Agency Tracking Number: 067369
Amount: $599,684.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: A3.01
Solicitation Number: N/A
Timeline
Solicitation Year: 2006
Award Year: 2008
Award Start Date (Proposal Award Date): 2008-02-13
Award End Date (Contract End Date): 2010-02-12
Small Business Information
868 San Antonio Road
Palo Alto, CA 94303-4622
United States
DUNS: 829385509
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 P. K. Menon
 Principal Investigator
 (650) 213-8585
 menon@optisyn.com
Business Contact
 P. Menon
Title: Business Official
Phone: (650) 213-8585
Email: menon@optisyn.com
Research Institution
N/A
Abstract

Next generation air traffic management systems will be based to a greater degree on predicted trajectories of aircraft. Due to the iterative nature of future air traffic management algorithms, the success of these systems will depend strongly on the ability to rapidly generate trajectory predictions. By combining algorithmic improvements and high-performance computing hardware, Phase I research demonstrated significantly accelerated prediction of high-fidelity aircraft trajectories using the NASA-FACET software.
Phase II research will build on the Phase I feasibility demonstration results to develop a full-scale computational appliance for rapid prediction of aircraft trajectories (CARPAT). The proposed architecture will combine the trajectory and airspace modeling capabilities of the FACET software with commercial, off-the-shelf high-performance computing technology. High-speed trajectory predictions and iterative computation of traffic flow management algorithms will be demonstrated under realistic traffic scenarios. The trajectory prediction appliance will commercialized during the Phase III work.

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

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