Effects of Heavy Vehicles on Dynamic Traffic Features

Traffic congestion on highways has been growing in urban areas where freight transportation hubs reside, affecting the efficiency and reliability of freight transportation. This research will investigate the effects of heavy vehicles on dynamic traffic patterns that substantially affect highway performance. To understand the underlying mechanisms, this research will analyze and model car-following and lane-change behavior involving heavy vehicles. These models will be used to simulate various traffic scenarios to examine the impact of heavy vehicles on bottleneck capacity drop and characteristics of stop-and-go oscillations. Potential impacts of Connected Vehicle technology for heavy vehicles will also be evaluated. Simulated vehicle trajectories will be used for obtaining travel time distributions for uncertainty assessment. The intent of this research is to help develop effective controls that can improve overall highway traffic operations while accommodating freight vehicles, an important step in improving the reliability of freight transportation.


  • English


  • Status: Completed
  • Funding: $94703.00
  • Contract Numbers:


  • Sponsor Organizations:

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Performing Organizations:

    University of Wisconsin, Madison

    Department of Civil and Environmental Engineering
    1415 Engineering Drive
    Madison, WI  United States  53706
  • Principal Investigators:

    Ahn, Soyoung

  • Start Date: 20140901
  • Expected Completion Date: 0
  • Actual Completion Date: 20160101
  • Source Data: RiP Project 38140

Subject/Index Terms

Filing Info

  • Accession Number: 01545228
  • Record Type: Research project
  • Source Agency: National Center for Freight and Infrastructure Research and Education (CFIRE)
  • Contract Numbers: DTRT12-G-UTC19
  • Files: UTC, RIP
  • Created Date: Nov 26 2014 1:00AM