Guide to Developing Congestion Scenarios for Long Range Plans using Travel Demand Models

The purpose of this contract is to explore innovative changes in multi-modal transportation planning. This research will develop a guide for forecasting Travel Time Index (TTI) using traditional travel demand models. The researchers will also investigate use of other performance measures in forecasting, such as Commuter Stress Index (the TTI in the peak direction), and Planning Time Index (a percentile based TTI that measures travel time reliability). Since TTI is an important measure that is commonly used, a standardized method using travel demand models to predict the ratio of forecasted free-flow vs. congested travel time is needed. TTI can be used as a vital performance measure to assess the effectiveness of proposed capacity-added and demand-reduction strategies in long range transportation plans and programs.

Language

• English

Project

• Status: Active
• Funding: $149345.00
• Contract Numbers:

  DTFH6115C00029

  6601-15076

• Sponsor Organizations:

  Federal Highway Administration

  Office of Planning, Environment and Realty
  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Project Managers:

  Sun, Sarah

• Performing Organizations:

  Texas A&M Transportation Institute, College Station

  Texas A&M University System
  3135 TAMU
  College Station, TX  United States  77843-3135
• Start Date: 20150603
• Expected Completion Date: 0
• Actual Completion Date: 20170602
• Source Data: RiP Project 40324

Subject/Index Terms

• TRT Terms: Commuters; Multimodal transportation; Performance measurement; Traffic congestion; Travel demand; Travel demand management; Travel time
• Subject Areas: Highways; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01573855
• Record Type: Research project
• Source Agency: Federal Highway Administration
• Contract Numbers: DTFH6115C00029, 6601-15076
• Files: RIP, STATEDOT
• Created Date: Aug 27 2015 1:00AM