• DocumentCode
    181187
  • Title

    A multiple hypothesis prediction method for improved aircraft state awareness

  • Author

    Duan, Pengfei Phil ; Miltner, Matt ; de Haag, Maarten Uijt

  • Author_Institution
    Ohio University, Avionics Engineering Center
  • fYear
    2014
  • fDate
    5-9 Oct. 2014
  • Firstpage
    1
  • Lastpage
    25
  • Abstract
    • Flight crew´s decision making has historically been identified as one of the leading contributing and causal factors in aircraft accidents. • Flight crews may be even further removed from traditional flight duties and be required to focus even more on system management and monitoring (i.e., pilot-on-the-loop) in NextGen than system operating (i.e., pilot-in-the-loop) in current operations. • Commercial Aviation Safety Team (CAST) reports have shown that “ineffective alerting” and “invalid source data” have been frequent contributors to recent aviation accidents. • Without effective information management methods and architectures as well as alerting systems, the level of flight crew unawareness of the aircraft state may become an even more serious safety risk and result in fatal accidents in hazardous situations.
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Avionics Systems Conference (DASC), 2014 IEEE/AIAA 33rd
  • Conference_Location
    Colorado Springs, CO, USA
  • Print_ISBN
    978-1-4799-5002-7
  • Type

    conf

  • DOI
    10.1109/DASC.2014.6979563
  • Filename
    6979563