An Uninhabited Aerial System Safety Analysis Model (USAM)

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX13CL19P
Agency Tracking Number: 125479
Amount: $121,654.00
Phase: Phase I
Program: SBIR
Awards Year: 2013
Solitcitation Year: 2012
Solitcitation Topic Code: A2.01
Solitcitation Number: N/A
Small Business Information
Intelligent Automation, Inc.
MD, Rockville, MD, 20855-2737
Duns: 161911532
Hubzone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Vivek Kumar
 Research Scientist
 (301) 294-4761
 vkumar@i-a-i.com
Business Contact
 Mark James
Title: Business Official
Phone: (301) 294-5221
Email: mjames@i-a-i.com
Research Institution
 Stub
Abstract
The National Airspace System (NAS) in the United States will become a complex array of commercial and general aviation aircraft, unmanned aircraft systems, reusable launch vehicles, rotorcraft, airports, air traffic control, weather services, and maintenance operations, among others. The Federal Aviation Administration (FAA) projects that by 2025 air traffic will increase by more than 50 percent with 1.1 billion passengers a year and more than 85,000 flights every 24 hours contributing to further delays and congestion in the sky. This increased system complexity necessitates the application of systematic safety risk analysis methods to understand and eliminate where possible, reduce, and/or mitigate risk factors. The product of this effort is the development of an Uninhabited Aerial System (UAS) safety analysis model, which hereafter is called USAM. The USAM effort proposed herein is an extension of current efforts underway by the UAS community, and it extends these efforts by incorporating UAS scenarios and encounter geometries to populate existing safety analysis models, thereby producing credible future UAS safety metrics

* information listed above is at the time of submission.

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