TRAFFIC FORECASTING FOR SMALL- TO MEDIUM-SIZED URBAN AREAS

A recently developed methodological package that can be readily applied to forecast the traffic-related impacts of a wide range of transportation-facility-related improvements is described. The package uses some of the most advanced transportation analysis techniques to predict traffic flows and measure the performance of specific highway links and the network as a whole. Also, an attempt is made to keep the data requirements to a minimum. The flexible package can assess impacts of a wide range of policy alternatives. For example, the travel demand forecasting module, based on disaggregate probabilistic choice models, offers the ability to evaluate the traffic impacts of factors ranging from changes in household automobile ownership levels to changes in zonal service employment densities. This offers small- to medium-sized urban areas valuable traffic flow forecasts that can be used as a basis to allocate scarce financial resources.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/614107147
• Corporate Authors:

  Institute of Transportation Engineers (ITE)

  Washington, DC  United States 
• Authors:
  • Abu-Eisheth, S A
  • MANNERING, F L
• Publication Date: 1986-10

Media Info

• Features: References; Tables;
• Pagination: p. 37-42
• Serial:
  • ITE Journal
  • Volume: 56
  • Issue Number: 10
  • Publisher: Institute of Transportation Engineers (ITE)
  • ISSN: 0162-8178
  • Serial URL: https://www.ite.org/publications/ite-journal/

Subject/Index Terms

• TRT Terms: Automobile ownership; Employment; Households; Impact studies; Improvements; Networks; Policy; Probability; Resource allocation; Roads; Small towns; Traffic flow; Traffic forecasting; Transportation; Travel demand; Urban areas
• Uncontrolled Terms: Probabilistic analysis; Road networks
• Subject Areas: Planning and Forecasting; Policy; Transportation (General); I10: Economics and Administration;

Filing Info

• Accession Number: 00459429
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 28 2004 4:45AM