Guidebook on DTA Data Needs and Interface Options for Integration into the Planning Process

Simulation-based dynamic traffic assignment (DTA) software programs model route choice behavior at a fine time scale across a large spatial area. This mesoscopic level of traffic detail makes DTA a powerful and versatile tool to transportation planners. Unfortunately, there has been limited research and exploration of integrating DTA into the transportation planning process. This guidebook provides information to practitioners regarding the input data required for dynamic traffic assignment, methods and benefits of linking together macroscopic, mesoscopic, and microscopic models, and potential ways of integrating DTA into the traditional four-step planning model.

• Record URL:
  http://www.utexas.edu/research/ctr/pdf_reports/0_6657_p1.pdf
• 
• Corporate Authors:

  University of Texas, Austin

  Center for Transportation Research, 1616 Guadalupe Street
  Austin, TX  United States  78701-1255

  Texas Department of Transportation

  Research and Technology Implementation Office, P.O. Box 5080
  Austin, TX  United States  78763-5080

  Federal Highway Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Duthie, Jennifer
  • Juri, Natalia Ruiz
  • Melson, Christopher L
  • Pool, C Matt
  • Boyles, Steve
• Publication Date: 2012-11

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 27p

Subject/Index Terms

• TRT Terms: Dynamic traffic assignment; Mesoscopic traffic flow; Planning methods; Route choice; Traffic models
• Uncontrolled Terms: Input data; Macroscopic models; Microscopic models
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01454441
• Record Type: Publication
• Report/Paper Numbers: 0-6657-P1
• Files: TRIS, ATRI, USDOT, STATEDOT
• Created Date: Nov 20 2012 1:06PM