Automation of Pilot Incapacitation Identification

Identification of pilot incapacitation is essential for aviation safety. Currently, the information about pilot incapacitation submerges in description text of various reports of FAA. Manual searching and identification of pilot incapacitation is tedious. A computer program would automate and ease the process. This project will use FAA EIM platform and develop computer programming (Python and SQL) to auto-screen relevant databases/datasets that are available in EIM data center, with natural language processing technologies. All events relevant to pilot incapacitation recorded in the datasets will be collected and merged to a single data file. Duplicate events will be identified and removed. The pilot incapacitation events will connect to aeromedical certification when the pilot information is available. Trend analysis will be performed.

Language

• English

Project

• Status: Active
• Sponsor Organizations:

  Department of Transportation

  1200 New Jersey Avenue, SE
  Washington, DC, Washington, DC  United States  20590
• Managing Organizations:

  Federal Aviation Administration

  800 Independence Avenue, SW
  Washington, DC, Washington, DC  United States  20591
• Performing Organizations:

  Civil Aerospace Medical Institute-Federal Aviation Administration

  P.O. Box 25082
  Oklahoma City, OK  United States  73125
• Start Date: 20220701
• Expected Completion Date: 20231123
• Actual Completion Date: 0
• USDOT Program: Aeromedical Research
• Subprogram: aviation safety

Subject/Index Terms

• TRT Terms: Aviation medicine; Data science
• Identifier Terms: Civil Aeromedical Institute
• Subject Areas: Aviation; Data and Information Technology; Research;

Filing Info

• Accession Number: 01857668
• Record Type: Research project
• Source Agency: Federal Aviation Administration
• Files: RIP, USDOT
• Created Date: Sep 15 2022 2:26PM