Development of Congestion Prediction Models - Phase 3

Under past research, a model is under development at the University of Washington (UW) and is being tested with real roadway data from I5 and SR168. The scale is 15 miles downstream or 15 to 20 minutes ahead. The model can predict recurring congestion but needs to be expanded to model non-recurring incident created congestion and the dissipation of that congestion. Completion of a model that accurately predicts future congestion based on the physics of traffic will provide a foundation for real-time optimal control and a test bed for modeling roadway capacity changes such as lane closures and incidents.

Language

• English

Project

• Status: Completed
• Funding: $75000.00
• Contract Numbers:

  T2695-71

  03-380

• Sponsor Organizations:

  Washington State Department of Transportation

  Transportation Building
  Olympia, WA  United States  98504
• Project Managers:

  Brodin, Doug

• Performing Organizations:

  University of Washington, Seattle

  Washington State Transportation Center
  1107 NE 45th Street
  Seattle, WA  United States  98105
• Principal Investigators:

  Dailey, Daniel

• Start Date: 20030900
• Expected Completion Date: 0
• Actual Completion Date: 20050930
• Source Data: RiP Project 7785

Subject/Index Terms

• TRT Terms: Incident management; Lane closure; Research projects; Traffic calming; Traffic congestion; Traffic control; Traffic flow
• Subject Areas: Administration and Management; Operations and Traffic Management; Research;

Filing Info

• Accession Number: 01460910
• Record Type: Research project
• Source Agency: Washington State Department of Transportation
• Contract Numbers: T2695-71, 03-380
• Files: RIP, STATEDOT
• Created Date: Jan 3 2013 1:34PM