SHORT-RANGE INTERCITY TRAFFIC FORECASTING USING ECONOMETRIC TECHNIQUES

The Oklahoma Turnpike Authority (OTA) commissioned a study of econometric modeling techniques that might be employed in short-range traffic forecasting. The OTA uses short-range traffic forecasts for personnel and maintenance scheduling and to comply with bond covenants requiring annual revenue forecasts. This article describes the study, highlighting the methodology, the autoregressive integrated moving average and regression models, and the results. The advantages and disadvantages of each model are presented.

  • Availability:
  • Corporate Authors:

    Institute of Transportation Engineers (ITE)

    Washington, DC  United States 
  • Authors:
    • Marshment, R S
    • Dauffenbach, R C
    • Penn, D A
  • Publication Date: 1996-2

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 00721047
  • Record Type: Publication
  • Files: TRIS, ATRI
  • Created Date: May 2 1996 12:00AM