Leveraging Connected and Automated Vehicles for Participatory Traffic Control

This project aims to establish the theoretical foundation of proactive, participatory traffic control where connected and automated vehicles (CAVs) are used as mobile actuators to regulate traffic flow across a traffic network. We attempt to integrate traditional, “anonymous” physical controllers (e.g., traffic signals) in the transportation system with personalized, targeted control of CAVs to improve traffic system efficiency. The proposed investigation includes enabling CAVs to function as “traffic stream regulators” to regulate traffic stream to better manage signalized intersections, and behave as “travel demand distributors” to better distribute the traffic demand across time periods and transportation facilities to reduce traffic congestion. The proposed participatory control framework will be tested in Mcity or a signalized traffic network in the simulation. With the smart traffic corridor or network in the real world, it is also possible to test this framework in the real world.

Language

  • English

Project

  • Status: Active
  • Funding: $150,000
  • Contract Numbers:

    69A3551747105

  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

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

    Center for Connected and Automated Transportation

    University of Michigan, Ann Arbor
    Ann Arbor, MI  United States  48109
  • Managing Organizations:

    University of Michigan Transportation Research Institute

    2901 Baxter Road
    Ann Arbor, Michigan  United States  48109
  • Project Managers:

    Tucker-Thomas, Dawn

    Bezzina, Debra

  • Performing Organizations:

    University of Michigan, Ann Arbor

    Department of Civil and Environmental Engineering
    2350 Hayward
    Ann Arbor, MI  United States  48109-2125

    University of Michigan Transportation Research Institute

    2901 Baxter Road
    Ann Arbor, Michigan  United States  48109
  • Principal Investigators:

    Yin, Yafeng

    Liu, Henry

  • Start Date: 20210201
  • Expected Completion Date: 20220131
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program
  • Subprogram: Research

Subject/Index Terms

Filing Info

  • Accession Number: 01768297
  • Record Type: Research project
  • Source Agency: Center for Connected and Automated Transportation
  • Contract Numbers: 69A3551747105
  • Files: UTC, RiP
  • Created Date: Mar 26 2021 3:12PM