Improving Our Understanding of How Highway Congestion and Pricing Affect Travel Demand

TRB SHRP2 Program


This project was carried out to review and advance the state of the practice in modeling the effects of highway congestion and highway pricing on travelers decisions, including the choice of facility, choice of route, choice of mode and choice of departure. Important findings are related on how demographic characteristics, auto occupancy, carpooling, value of travel time, value of reliability and travel distance affect the willingness to pay, VOT, and VOR. The report includes mathematical descriptions of the full range of highway user behavioral responses to congestion, travel time reliability, and pricing. The descriptions included in the report were achieved by mining existing data sets. The report estimates a series of nine utility equations, progressively adding variables of interest. The report presents useful information related to the future of modeling and how reliability can be efficiently incorporated to existing and new models.

Source Organization Location

Washington, DC

Operations Area of Practice

  • HOV Lanes / HOT Lanes
  • Pricing / Toll Roads
  • Planning for Operations
  • Simulation Analysis
  • Travel Demand Forecasting

Organizational Capability Element

  • Planning
  • Performance Measurement
  • Reliability Predictive Models

Content Type

  • Research

Role in Organization

  • Associate Engineer
  • Engineer
  • Senior Engineer
  • Transportation Planner

Publishing Organization

  • SHRP2 Program


  • Available Tools
  • How-To
  • Justification

Document Downloads

Project Website

Improving Our Understanding of How Highway Congestion and Pricing Affect Travel Demand

Prime Contractor
Parsons Brinckerhoff et al.
Issue Date
August 15th, 2013
Publication Number
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