Managing the impacts of different CV/AV penetration rates on recurrent freeway congestion-from the perspective of traffic management

The primary objective of this study is to develop a set of operational guidelines for responsible highway agencies to manage the impacts of different CV/AV penetrate rates on the traffic conditions along a freeway corridor under various volume levels. It is expected that engineers/operators in the traffic control center with the developed guidelines can either guide or instruct AV/CV vehicles via the V2I infrastructure to activate the proper behavioral mechanisms (mainly car-following and lane-changing algorithms/parameters) and thus to best the performance of the entire traffic system, based on the real-time detected traffic information. Note that such optimal behavioral mechanisms, expected to minimize the interference to other vehicle flows and to maximize the traffic throughput over congested roadway segments, may vary with a variety of factors, including total volume level, geometric conditions (e.g., number of lanes), locations of the roadway segments under control (e.g., mainline, weaving area, ramps), the penetration rate of AV vehicles, and the driving behavior of the non-AV/CV flows. Hence, the operational guidelines that can allow the responsible agencies to shape the AV/CV traffic flows to the desirable patterns on different segments of a freeway under various volume levels will certainly be of great value from the perspective of managing the complex and dynamic traffic patterns on congested freeways.


  • English


  • Status: Completed
  • Funding: $150000
  • Contract Numbers:


  • Sponsor Organizations:

    University of Maryland, College Park

    Department of Civil and Environmental Engineering
    College Park, MD  United States  20742

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590

    U.S. Department of Transportation

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Managing Organizations:

    Urban Mobility & Equity Center

    Morgan State University
    Baltimore, MD  United States  21251
  • Project Managers:

    Tucker-Thomas, Dawn

  • Performing Organizations:

    Urban Mobility & Equity Center

    Morgan State University
    Baltimore, MD  United States  21251
  • Principal Investigators:

    Chang, Gang-Len

  • Start Date: 20180701
  • Expected Completion Date: 20190630
  • Actual Completion Date: 20191119
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01661930
  • Record Type: Research project
  • Source Agency: Urban Mobility & Equity Center
  • Contract Numbers: 69A43551747123
  • Files: UTC, RiP
  • Created Date: Mar 6 2018 3:45PM