Investigating the Effect of Connected Vehicles (CV) Route Guidance on Mobility and Equity

Traffic congestion is a serious and increasing national problem, especially for urban commuters. Providing accurate real-time traffic information is a key tool to reduce congestion. Recent studies have shown that connected vehicles (CVs) can help improve traffic mobility and safety while saving energy and reducing emissions. The CV guidance system is an emerging form of dynamic route guidance. The proposed research will develop and calibrate a microscopic traffic simulation model to replicate the fairly realistic behavior of such vehicles in the traffic simulation environment. Unlike the majority of prior studies that have used hypothetical study areas with simple networks, this study will develop a real-world medium urban road network. Different penetration rates of CVs (0% - 100%) will be developed, and the system-wide effects of CV-equipped vehicles with route guidance features on mobility and equity will be analyzed.


  • English


  • Status: Completed
  • Funding: $135000
  • Contract Numbers:

    Grant No. 69A43551747123

  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    Urban Mobility & Equity Center

    Morgan State University
    Baltimore, MD  United States  21251
  • Performing Organizations:

    Morgan State University

    1700 E. Cold Spring Lane
    Baltimore, MD 21251, Maryland  United States  21251

    University of Maryland, College Park

    Department of Civil and Environmental Engineering
    College Park, MD  United States  20742
  • Principal Investigators:

    Jeihani, Mansoureh

    Haghani, Ali

  • Start Date: 20200301
  • Expected Completion Date: 20211130
  • Actual Completion Date: 20211130
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01711285
  • Record Type: Research project
  • Source Agency: Urban Mobility & Equity Center
  • Contract Numbers: Grant No. 69A43551747123
  • Files: UTC, RIP
  • Created Date: Jul 18 2019 3:02PM