• DocumentCode
    2535253
  • Title

    SURF IA conflict detection and resolution algorithm evaluation

  • Author

    Jones, Denise R. ; Chartrand, R.C. ; Wilson, S.R. ; Commo, S.A. ; Otero, S.D. ; Barker, G.D.

  • Author_Institution
    Nat. Aeronaut. & Space Adm., Hampton, VA, USA
  • fYear
    2012
  • fDate
    14-18 Oct. 2012
  • Abstract
    The Enhanced Traffic Situational Awareness on the Airport Surface with Indications and Alerts (SURF IA) algorithm was evaluated in a fast-time batch simulation study at the National Aeronautics and Space Administration (NASA) Langley Research Center. SURF IA is designed to increase flight crew situation awareness of the runway environment and facilitate an appropriate and timely response to potential conflict situations. The purpose of the study was to evaluate the performance of the SURF IA algorithm under various runway scenarios, multiple levels of conflict detection and resolution (CD&R) system equipage, and various levels of horizontal position accuracy. This paper gives an overview of the SURF IA concept, simulation study, and results.
  • Keywords
    air safety; air traffic; airports; human factors; Langley Research Center; National Aeronautics and Space Administration; SURF IA; airport surface with indications and alerts algorithm; conflict detection and resolution algorithm evaluation; enhanced traffic situational awareness; flight crew situation awareness; runway environment; Accuracy; Air traffic control; Aircraft; Airports; Atmospheric modeling; Safety; Surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Avionics Systems Conference (DASC), 2012 IEEE/AIAA 31st
  • Conference_Location
    Williamsburg, VA
  • ISSN
    2155-7195
  • Print_ISBN
    978-1-4673-1699-6
  • Type

    conf

  • DOI
    10.1109/DASC.2012.6382371
  • Filename
    6382371