What is an Effective Way to Measure Arterial Demand When it Exceeds Capacity?

We do not have a common approach for measuring demand when such volume exceeds capacity—e.g., unobserved latent demand. For example, suppose over a 15-minute period one observes 900 vehicles passing. It may be the case that this “900” reflects capacity, where the true demand volume is substantially higher. Thus, how can one estimate the demand volume if it exceeds capacity? Candidate methods include, but are not limited to, using vehicle density, queue length, peak hour expansion factors, and travel demand models. (For example, within travel demand models, one may adjust parameters in the volume delay function until the forecast volume, which may exceed capacity, matches the observed volume). Given these possibilities, this research will identify best practices for determining the true forecast demand volume for arterial facilities.

Project

• Status: Active
• Funding: $117600
• Contract Numbers:

  116572

• Sponsor Organizations:

  Virginia Transportation Research Council

  530 Edgemont Road
  Charlottesville, VA  United States  22903
• Managing Organizations:

  Virginia Transportation Research Council

  530 Edgemont Road
  Charlottesville, VA  United States  22903
• Project Managers:

  Miller, John

• Performing Organizations:

  Old Dominion University

  Norfolk, VA  United States  23529
• Principal Investigators:

  Cetin, Mecit

  Yang, Hong

  Xie, Kun

• Start Date: 20200201
• Expected Completion Date: 20230131
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Arterial highways; Best practices; Forecasting; Highway capacity; Traffic volume; Travel demand
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01727611
• Record Type: Research project
• Source Agency: Virginia Department of Transportation
• Contract Numbers: 116572
• Files: RIP, STATEDOT
• Created Date: Jan 17 2020 9:11AM