• DocumentCode
    181136
  • Title

    Departure flow efficiency and the identification of causes for inefficiencies

  • Author

    DeArmon, Jim ; Mahashabde, Anuja ; Hogan, B.

  • Author_Institution
    MITRE Corp., McLean, VA, USA
  • fYear
    2014
  • fDate
    5-9 Oct. 2014
  • Abstract
    As a proposed indicator of operational efficiency in the National Airspace System (NAS), a new Departure Flow Efficiency (DFE) metric has been formulated. For a major metropolitan airport, the DFE considers flight times from departure to a 175 nautical mile (NM) radius from the airport, with population stratification by aircraft performance, departure runway, and azimuth of a flight´s radius crossing (i.e., the measure of the angle, from zero to 360 degrees, formed from the Airport Reference Point1 to the point of radius crossing). As more flights follow efficient lateral and vertical profiles, the average daily DFE metric value goes up. For a given day, a high DFE metric value implies that many flights were expedited, indicating efficient departure operations. An “exception report” is needed to identify operating conditions that may result in an inefficient departure when a low DFE metric value is computed. The intent is to test for a correlation with meteorological or other conditions. Three cases are examined: (1) flights exhibiting a nominal speed, but traversing an extended distance, (2) flights traversing a nominal distance, but exhibiting a slow speed, and (3) impeded short-hop flights. Case 1 may be caused by flight deviations around severe weather areas. Case 2 may be caused by a conventional climb profile against a strong headwind or an altitude profile with an extended period of low altitude flying to stay under severe weather. Case 3 may be caused by arrival constraints at the destination airport. Analysis to discern these three cases involves the use of flight track data, as well as Rapid Update Cycle (RUC) winds data and National Convective Weather Diagnostic (NCWD) data. In addition, an algorithm for the detection of holding patterns and delay vectors in archived operational data was employed for Case 3.
  • Keywords
    aircraft; airports; DFE metric; NAS; NCWD data; RUC winds data; aircraft performance; airport reference point; altitude profile; arrival constraints; causes identification; climb profile; delay vectors; departure flow efficiency; departure runway; destination airport; exception report; flight deviations; flight radius crossing azimuth; flight track data; headwind; holding pattern detection; lateral profiles; metropolitan airport; national airspace system; national convective weather diagnostic data; rapid update cycle; vertical profiles; Aircraft; Airports; Delays; FAA; Wind;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Avionics Systems Conference (DASC), 2014 IEEE/AIAA 33rd
  • Conference_Location
    Colorado Springs, CO
  • Print_ISBN
    978-1-4799-5002-7
  • Type

    conf

  • DOI
    10.1109/DASC.2014.6979512
  • Filename
    6979512