• DocumentCode
    612659
  • Title

    Determining seasonal delay curves

  • Author

    Meilus, A.

  • Author_Institution
    Fed. Aviation Adm., Washington, DC, USA
  • fYear
    2013
  • fDate
    22-25 April 2013
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    This paper presents an approach to expand on the Annual Service Volume (ASV) method for estimating air traffic delays. The ASV approach is a direct and intuitive method to estimate air traffic delays at an airport based on airline scheduled demand levels at that particular airport. The Seasonal Delay Curve (SDC) approach attempts to build on the ASV delay estimates by accounting for seasonal capacity variations. The result is an equally intuitive method that sheds light on the impact that seasons can have on delays at specific airports. This improvement helps explain why a particular scheduled level of demand can produce different amounts of delay in January than in July. This paper demonstrates how delay estimates can differ by season at airports like SFO and ORD that have noticeable seasonality in their arrival and departure rates.
  • Keywords
    air traffic; airports; delay estimation; scheduling; ASV approach; air traffic delay estimation; airline scheduled demand level; airport; annual service volume; arrival rate; departure rate; seasonal capacity variation; seasonal delay curve determination; sheds light; Airports; Atmospheric modeling; Biological system modeling; Delays; FAA; Schedules; Watches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integrated Communications, Navigation and Surveillance Conference (ICNS), 2013
  • Conference_Location
    Herndon, VA
  • ISSN
    2155-4943
  • Print_ISBN
    978-1-4673-6251-1
  • Type

    conf

  • DOI
    10.1109/ICNSurv.2013.6548554
  • Filename
    6548554