• DocumentCode
    3516055
  • Title

    Efficient Simulation for Testing Loss of Separation Algorithms

  • Author

    White, Allan L.

  • Author_Institution
    NASA Langley, Hampton, VA
  • fYear
    2008
  • fDate
    1-8 March 2008
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    Given increased air traffic and the possible use of autonomous vehicles, there is interest in the verification of separation algorithms. Because of the complexity of the environment and the presence of perturbations, a candidate approach is simulation and Monte Carlo. There are several desirable properties of the simulation: realism, portability, transparency, and efficiency. This paper is an initial effort using MATLAB to study a separation algorithm. An original separation algorithm was developed to make this project independent of any other effort. The algorithms and program were effective enough and efficient enough that the project will proceed.
  • Keywords
    Monte Carlo methods; air traffic control; aircraft control; collision avoidance; mathematics computing; MATLAB; Monte Carlo method; air traffic; autonomous vehicles; separation algorithms; simulation; testing loss; Aerospace control; Aerospace simulation; Aircraft; Algorithm design and analysis; Collision avoidance; Delay; MATLAB; NASA; Testing; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2008 IEEE
  • Conference_Location
    Big Sky, MT
  • ISSN
    1095-323X
  • Print_ISBN
    978-1-4244-1487-1
  • Electronic_ISBN
    1095-323X
  • Type

    conf

  • DOI
    10.1109/AERO.2008.4526580
  • Filename
    4526580