• DocumentCode
    2441949
  • Title

    Comparing Route Selection Strategies in Collaborative Traffic Flow Management

  • Author

    Wolfe, Shawn R. ; Enomoto, Francis Y. ; Jarvis, Peter A. ; Sierhuis, Maarten

  • Author_Institution
    NASA, Washington
  • fYear
    2007
  • fDate
    2-5 Nov. 2007
  • Firstpage
    59
  • Lastpage
    62
  • Abstract
    In the United States, air traffic flow management (TFM) is concerned with directing traffic through the national airspace system (NAS), such that unsafe conditions are avoided. Unlike airport tower and en-route controllers, who focus on aircraft operating in their immediate airspace and deal directly with pilots, TFM focuses on balancing overall traffic demand with airport and airspace capacity. NASA´s Next Generation Air Transportation System (NGATS) project seeks to address these issues in several ways; our aim is to explore and test their new concept of operations for collaborative traffic flow management (CTFM) through a multi-agent simulation.
  • Keywords
    air traffic control; digital simulation; groupware; intelligent control; multi-agent systems; software agents; NASA NGATS project; air traffic flow management; collaborative traffic flow management; intelligent software agents; multiagent simulation; next generation air transportation system; route selection strategies; Aerospace control; Air traffic control; Air transportation; Aircraft; Airports; Collaboration; Poles and towers; Project management; System testing; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Agent Technology, 2007. IAT '07. IEEE/WIC/ACM International Conference on
  • Conference_Location
    Fremont, CA
  • Print_ISBN
    978-0-7695-3027-7
  • Type

    conf

  • DOI
    10.1109/IAT.2007.54
  • Filename
    4407260