• DocumentCode
    2590534
  • Title

    Simplified dynamic density based capacity estimation

  • Author

    Lai, Chok Fung ; Zelinski, Shannon

  • Author_Institution
    Univ. of California Santa Cruz, Moffett Field, CA, USA
  • fYear
    2009
  • fDate
    23-29 Oct. 2009
  • Abstract
    Methods for estimating constant and variable sector capacity based on an airspace complexity metric, simplified dynamic density, are proposed. Simplified dynamic density is a weighted sum of seven traffic components that contribute to airspace complexity. Constant and variable estimates of maximum sector capacity, based on projected flight tracks, are used to constrain the traffic demand in fast-time simulations. Delays and aircraft counts resulting from these methods are compared with those obtained using the capacities in the current system and based on the ¿5/3 of average sector flight time¿ rule. Results show that the simplified dynamic density based capacities produce lower system-wide delays and more throughputs, and indicate more predictable air traffic demands during the peak traffic period.
  • Keywords
    air traffic control; estimation theory; airspace complexity; dynamic density based capacity estimation; sector capacity estimation; simplified dynamic density; Aerospace simulation; Air traffic control; Aircraft; Delay effects; Delay systems; FAA; Humans; NASA; Throughput; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Avionics Systems Conference, 2009. DASC '09. IEEE/AIAA 28th
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    978-1-4244-4078-8
  • Type

    conf

  • DOI
    10.1109/DASC.2009.5347536
  • Filename
    5347536