Development of Probability Models for UAS Performance

The objective of the project is to conduct a data-driven pilot safety risk trend analysis by using data to characterize, predict, and classify unmanned aircraft system (UAS) safety events. Any data-driven analysis is only as good as the data upon which it is based. A great deal of this effort will be spent on the development of the historical data inventory (assessment and determination of the various data sources) and data acquisition plans with the Air Force Safety Center (AFSC) and implementation of data qualification processes. The resulting data will ultimately be used for safety trend analyses and regulatory gap analysis.

• Supplemental Notes:
  • Program Information: Aviation Grants Program

Language

• English

Project

• Status: Completed
• Funding: $300000.00
• Contract Numbers:

  2010-G-019

• Sponsor Organizations:

  Federal Aviation Administration

  William J. Hughes Technical Center, Atlantic City International Airport
  Atlantic City, NJ  United States  08405
• Project Managers:

  Stadtmueller, Traci

• Performing Organizations:

  Auburn University

  Auburn, AL  United States  36830
• Start Date: 20100816
• Expected Completion Date: 0
• Actual Completion Date: 20110815
• Source Data: RiP Project 30153

Subject/Index Terms

• TRT Terms: Aviation safety; Data collection; Drones; Probability; Regulations; Risk analysis
• Subject Areas: Aviation; Safety and Human Factors;

Filing Info

• Accession Number: 01478551
• Record Type: Research project
• Source Agency: Department of Transportation
• Contract Numbers: 2010-G-019
• Files: RiP
• Created Date: Apr 16 2013 12:57AM