The Potential of Employing Connected Vehicle Technologies for Demand Management of Managed Lane Facilities

As the market availability of autonomous vehicles (AVs) (e.g. Google Cars) and connected vehicle (CV) technologies is prognosticated by 2020 (Reich, 2013), the potential impact of AVs and CV technologies on effective demand management is worth investigating. In the proposed research, focus on the potential of employing CV technologies for demand management of managed lane (ML) facilities, with the goal of improving the ML efficiency and effectiveness. Managed Lanes (MLs) are considered promising facilities for early deployment of automated or connected vehicles. In envision CV technologies being adopted to provide richer and real-time information about the MLs, such as travel time variability and reliability as well as pricing variability (if applicable), to approaching drivers. Such information would likely affect travelers’ propensity of choosing MLs and thus the usage rate and the traffic conditions of the MLs and the general purpose lanes.


  • English


  • Status: Active
  • Funding: $31037
  • Contract Numbers:


  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

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

    University of Maryland, College Park

    Department of Civil and Environmental Engineering
    College Park, MD  United States  20742
  • Project Managers:

    Zhang, Lei

  • Performing Organizations:

    Arizona State University, Tempe

    Tempe, AZ  United States 
  • Principal Investigators:

    Lou, Yingyan

  • Start Date: 20160101
  • Expected Completion Date: 20160831
  • Actual Completion Date: 20161231

Subject/Index Terms

Filing Info

  • Accession Number: 01590601
  • Record Type: Research project
  • Source Agency: National Transportation Center @ Maryland, Office of the Assistant Secretary for Research and Technology (OST-R), U.S. Department of Transportation (US DOT)
  • Contract Numbers: DTRT13-G-UTC30
  • Files: UTC, RiP
  • Created Date: Feb 19 2016 1:47AM