UAS Flight Data Research in Support of ASIAS (Aviation Safety Information and Analysis Sharing)

PI David Esser

This research will aggregate high quality UAS flight data with commercial and general aviation flight data and surveillance data, in order to develop enhanced safety analyses for NAS stakeholders and to support UAS integration in the NAS.

The overarching purpose of this research is to enable safe integration of UAS in the NAS through building upon existing aviation database and data-sharing efforts encouraged and endorsed by participating government-industry entities. Through this research, a data architecture for unmanned air and ground vehicles and operations will be developed in alignment with the FAA’s Aviation Safety Information and Sharing (ASIAS) program.

This project will design and evaluate Flight Data Monitoring (FDM) for unmanned operations and integrate that data into the Aviation Safety Information Analysis and Sharing (ASIAS) system.  In addition, this project will integrate the findings from ASSURE project A20, which identified current Unmanned Aircraft Systems (UAS) FDM capabilities and practices, including refresh/recording rate and robustness, and developed guidance for a UAS FDM standard.  The proposed team includes original members who designed and deployed the National General Aviation Flight Information Database (NGAFID), which has successfully integrated and is data-sharing with ASIAS.

Research Dates

03/01/2021 to 06/30/2023


  • David A. Esser
    Aeronautical Science Department
    Ph.D., Capella University
    M.A.S., B.S., B.S., A.S., A.S., A.S., Embry-Riddle Aeronautical University