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Cross-Sortie Flight Route Optimization

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-04-C-0099
Agency Tracking Number: F031-2257
Amount: $1,866,180.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: AF03-094
Solicitation Number: 2003.1
Solicitation Year: 2003
Award Year: 2004
Award Start Date (Proposal Award Date): 2004-05-21
Award End Date (Contract End Date): 2006-05-21
Small Business Information
1850 Millrace Drive, Suite 1
Eugene, OR 97403
United States
DUNS: 045434284
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Matthew Ginsberg
 (541) 346-0471
Business Contact
 Laurie Buchanan
Phone: (541) 346-0469
Research Institution

Both the USAF's Air Mobility Command (AMC) and commercial carriers must route multiple aircraft efficiently despite multiple, possibly conflicting requirements (minimize fuel burn, rendezvous on time, etc.). Phase I demonstrated the technical feasibilty of finding optimized routes for a collection of sorties using a combination of parallel distributed processing and advanced search technology. The Phase II effort would enhance and extend the technology demonstrated in Phase I to handle more complicated airspace limitations (e.g., time-dependent clearances) and larger sortie ensembles, while more effectively eliminating suboptimal options to reduce processing demands. The WARP flight-planning system, developed by On Time Systems for AMC, minimizes fuel consumption for individual flights. Development of automated cross-sortie optimization capabilities would extend WARP's benefits to a much broader range of operational settings. The addition of capabilities to manage differing optimization criteria, such as coordinated arrival times or mission durations, would enhance WARP's capabilities still further in important areas. These changes would make WARP more useful both to AMC and in commercial applications, because it would both manage various flight-planning goals and help ensure that inter-mission tradeoffs are made as rationally and efficiently as possible.

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

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