• DocumentCode
    2666889
  • Title

    Multi-agent simulation of NAS infrastructure utilization in the presence of airline policies

  • Author

    Calderón-Meza, Guillermo ; Sherry, Lance ; Consiglio, María

  • Author_Institution
    CATSR, George Mason Univ., Fairfax, VA, USA
  • fYear
    2009
  • fDate
    13-15 May 2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The saturation of capacity in the U.S. National Airspace System (NAS) has prompted a massive investment in the development of a modernized air traffic control (ATC) system known as nextgen. The return on this investment is predicated on the availability of increased capacity where and when it is needed by the continuously evolving airline route system. The objective of this research is to develop policies for the design and development of nextgen that avoids under-utilization of ATC infrastructure in the presence of adaptive airline strategies. This paper describes a multi-agent simulation of airline route selection strategies for alternate trans-continental routes. The analysis shows the existence of a natural equilibrium that identifies a trade-off between ATC infrastructure utilization with airline operating costs over a range of alternate route distance, airline cost structures, and airline strategies. The implications of these results for NextGen planning and policy are discussed.
  • Keywords
    air traffic control; investment; multi-agent systems; travel industry; NAS infrastructure utilization; NextGen planning; U.S. National Airspace System; airline cost structures; airline operating costs; airline policies; airline route selection strategies; modernized air traffic control system; multiagent simulation; route distance; Air traffic control; Air transportation; Aircraft; Costs; Delay; Game theory; Investments; NASA; Nash equilibrium; Routing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integrated Communications, Navigation and Surveillance Conference, 2009. ICNS '09.
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    978-1-4244-4733-6
  • Electronic_ISBN
    978-1-4244-4734-3
  • Type

    conf

  • DOI
    10.1109/ICNSURV.2009.5172859
  • Filename
    5172859