• DocumentCode
    66326
  • Title

    Dynamic Queuing Network Model for Flow Contingency Management

  • Author

    Yan Wan ; Taylor, Clark ; Roy, Sandip ; Wanke, Craig ; Yi Zhou

  • Author_Institution
    Dept. of Electr. Eng., Univ. of North Texas, Denton, TX, USA
  • Volume
    14
  • Issue
    3
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    1380
  • Lastpage
    1392
  • Abstract
    We introduce a queuing network model that can comprehensively represent traffic flow dynamics and flow management capabilities in the U.S. National Airspace System (NAS). We envision this model as a framework for tractably evaluating and designing coordinated flow management capabilities at a multi-Center or even NAS-wide spatial scale and at a strategic (2-15 h) temporal horizon. As such, the queuing network model is expected to serve as a critical piece of a strategic flow contingency management solution for the Next Generation Air Traffic System (NextGen). Based on this perspective, we outline, in some detail, the evaluation and design tasks that can be performed using the model, as well as the construction of the flow network underlying the model. Finally, some examples are presented, including one example that replicates traffic in Atlanta Center on an actual bad-weather day, to illustrate simulation of the model and interpretation/use of model outputs.
  • Keywords
    air traffic; queueing theory; NAS; NAS wide spatial scale; NextGen; U.S. national airspace system; dynamic queuing network model; flow contingency management; flow management capabilities; next generation air traffic system; queuing network model; strategic flow contingency management; temporal horizon; traffic flow dynamics; Flow contingency management (FCM); queuing network model; strategic air traffic management;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1524-9050
  • Type

    jour

  • DOI
    10.1109/TITS.2013.2260745
  • Filename
    6517222