Criteria are presented for selection of analytic models to represent waiting times due to queuing processes. An existing computer model by M.F. Neuts which assumes general nonparametric distributions of arrivals per unit time and service times for a single service was envisioned as best fulfilling requirements. Data obtained from Denver Stapleton Airport were applied to this model. Service times and arrival rates at an express baggage check facility, a security station, and a gate were used as inputs. Delay times corresponding to the observed arrival rates were recorded and compared to model outputs. Using the T-test, agreement was obtained at the 5 percent level of significance for the mean values of the first two facilities. Predictions of waiting time distribution, however, did not pass the Kolmogroff test at the same level of significance. Discrepancies are due to a lack of time resolution in arrival times and the application of this model to multiserver situations. (Author)

  • Corporate Authors:

    Transportation Systems Center

    55 Broadway, Kendall Square
    Cambridge, MA  United States  02142
  • Authors:
    • Yuan, L S
    • McCabe, L J
  • Publication Date: 1977-5

Media Info

  • Pagination: 49 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00166060
  • Record Type: Publication
  • Source Agency: National Technical Information Service
  • Report/Paper Numbers: FAA-AEM-77-4 Intrm Rpt., TSC-FAA-77-2
  • Files: NTIS, TRIS
  • Created Date: Sep 20 1978 12:00AM