Connected and Automated Vehicle Based Intersection Maneuver Assist Systems (CAVIMAS) and Their Impact on Driver Behavior, Acceptance, and Safety

Forty percent of the estimated 5.8 million crashes in the US in 2008 were intersection-related, with most of these having driver-related reasons attributed as the critical reasons for the crashes. Most of these human-related reasons have the potential to be mitigated by leveraging thoughtful deployments of vehicle-to infrastructure (V2I) and vehicle-to-vehicle (V2V) safety management solutions in tandem with human factors-based interventions relating to the content and presentation of such solutions. This project proposes the design of a conceptual system - Connected and Automated Vehicle based Intersection Maneuver Assist Systems (CAVIMAS) - aimed at assisting drivers with intersection maneuvers by leveraging connected infrastructure and providing real-time guidance and warnings, and potentially even active vehicle controls. This will be undertaken in an advanced driving simulation environment, and the concept system will be evaluated via a user study to investigate drivers’ interactions with such systems, including their perceptions, acceptance, and trust related behaviors.


  • English


  • Status: Completed
  • Funding: $150000
  • 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
  • Managing Organizations:

    Center for Connected and Automated Transportation

    University of Michigan Transportation Research Institute
    Ann Arbor, MI  United States  48109
  • Project Managers:

    Tucker-Thomas, Dawn

  • Performing Organizations:

    University of Michigan Transportation Research Institute

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

    pradhan, Anuj

  • Start Date: 20170501
  • Expected Completion Date: 20181231
  • Actual Completion Date: 20181231
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01645398
  • Record Type: Research project
  • Source Agency: Center for Connected and Automated Transportation
  • Contract Numbers: 69A3551747105
  • Files: UTC, RIP
  • Created Date: Aug 31 2017 3:09PM