Heavy Vehicle Performance during Recovery from Forced-flow Urban Freeway Conditions due to Incidents, Work Zones and Recurring Congestion

There is strong empirical and theoretical evidence that heavy trucks' influence on urban freeway congestion increases dramatically under forced-flow conditions that are becoming more prevalent in the urban environment due to overall increases in traffic and the deployment of work zones. Preliminary research suggests that with just a 16% truck presence, capacity may drop nearly 50% under stop-and-go traffic. However, the Highway Capacity Manual and other design guidelines pay little attention to forced flow conditions. A large vehicle classification dataset will be collected and calibrated simulation models will be used to establish truck influence under forced-flow traffic conditions.

  • Record URL:
  • Supplemental Notes:
    • Project Objectives: To fill a significant gap in knowledge about truck performance under forced flow conditions. Task Descriptions: Task 1. Literature review Task 2. Field data collection and analysis Task 3. Simulation input preparation Task 4. Examine simulation package suitability Task 5. Simulation calibration existing location Task 6. Simulation calibration new locations Task 7. Scenario testing Task 8. Document field data analysis Task 9. Document simulation Task 10. Draft report/Final report

Language

  • English

Project

  • Status: Completed
  • Funding: $223331.00
  • Contract Numbers:

    CFIRE 04-17

  • Sponsor Organizations:

    National Center for Freight and Infrastructure Research and Education (CFIRE)

    University of Wisconsin, Madison
    1415 Engineering Drive, 2205 Engineering Hall
    Madison, WI  United States  53706
  • Performing Organizations:

    University of Wisconsin, Milwaukee

    Department of Civil Engineering and Mechanics
    Milwaukee, WI  United States  53211
  • Principal Investigators:

    Liu, Yue

  • Start Date: 20100701
  • Expected Completion Date: 0
  • Actual Completion Date: 20120831
  • Source Data: RiP Project 26782

Subject/Index Terms

Filing Info

  • Accession Number: 01468163
  • Record Type: Research project
  • Source Agency: National Center for Freight and Infrastructure Research and Education (CFIRE)
  • Contract Numbers: CFIRE 04-17
  • Files: UTC, RiP
  • Created Date: Jan 3 2013 3:46PM