Impacts of in-vehicle alert systems on situational awareness and driving performance in SAE level 3 vehicle automation

Most levels of autonomy are associated with human drivers that will need to take over the AV in certain hazardous situations. This research project is investigating the features and benefits of alternative mechanisms for in-vehicle alerts for human drivers to take over AVs as and when needed. These mechanisms include audio and visual alert systems. The research is also developing strategies to promote safe transition of vehicle control. The research results are intended to inform policy and regulation geared toward automakers to ensure vehicle design that facilitate safe AV operations.


    • English


    • Status: Completed
    • Funding: $356,674 (CCAT:$178,337,Cost share GT:$178,337)
    • Contract Numbers:


    • Sponsor Organizations:

      Department of Transportation

      Intelligent Transportation Systems Joint Program Office
      1200 New Jersey Avenue, SE
      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:

      Purdue University, Lyles School of Civil Engineering

      550 Stadium Mall Drive
      West Lafayette, IN  United States  47907

      Georgia Tech Research Institute, Atlanta

      225 North Avenue, NW
      Atlanta, GA  United States  30332-0800
    • Principal Investigators:

      Peeta, Srinivas

    • Start Date: 20180101
    • Expected Completion Date: 20220930
    • Actual Completion Date: 20231222
    • USDOT Program: University Transportation Centers Program
    • Subprogram: Research

    Subject/Index Terms

    Filing Info

    • Accession Number: 01742583
    • Record Type: Research project
    • Source Agency: Center for Connected and Automated Transportation
    • Contract Numbers: 69A3551747105
    • Files: UTC, RIP
    • Created Date: Jun 18 2020 8:06AM