• DocumentCode
    814365
  • Title

    Safety of cooperative collision avoidance for unmanned aircraft

  • Author

    Zeitlin, Andrew D. ; McLaughlin, Michael P.

  • Author_Institution
    Center for Adv. Aviation Syst. Dev., MITRE Corp., McLean, VA
  • Volume
    22
  • Issue
    4
  • fYear
    2007
  • fDate
    4/1/2007 12:00:00 AM
  • Firstpage
    9
  • Lastpage
    13
  • Abstract
    For unmanned aircraft to be routinely used in civil airspace, an effective collision avoidance function is one area deemed essential for safe operation. Like manned aircraft, avoiding collisions with transponder-equipped, or "cooperative" traffic is among the primary hazards. This paper discusses the necessity of developing various models of environmental and system components in the collision avoidance functional chain. Potential sensitivities and shortcomings of the TCAS collision avoidance system for unmanned aircraft are discussed. The analysis method of fast-time simulation can develop a rich sample of collision encounter events from the numerous statistical distributions. This provides an established means to demonstrate system compliance with safety targets, when they are established
  • Keywords
    Monte Carlo methods; aerospace safety; aircraft; collision avoidance; remotely operated vehicles; statistical distributions; TCAS collision avoidance system; analysis method; civil airspace; cooperative collision avoidance; fast-time simulation; manned aircraft; statistical distributions; unmanned aircraft; Air safety; Air traffic control; Aircraft; Analytical models; Collision avoidance; Discrete event simulation; Hazards; Road accidents; Traffic control; Unmanned aerial vehicles;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0885-8985
  • Type

    jour

  • DOI
    10.1109/MAES.2007.351714
  • Filename
    4161180