Development of An Augmented Reality Environment for Connected and Automated Vehicle Testing

Currently closed connected and autonomous vehicle (CAV) testing facilities (such as Mcity) merely provide empty roadways, in which testing CAVs can only interact with each other and infrastructure (e.g. traffic signals). However, a complete testing environment should also include background traffic to interact with the testing CAVs. Involving real vehicles as background traffic is not only costly, but also difficult to coordinate and control. To address the limitation, in this project the research team develops an augmented reality testing environment, in which background traffic is generated in microscopic simulation and provided to testing CAVs to augment the functionality of the test facility. The augmented reality combines the real-world testing facility and a simulation platform, in which movements of testing CAVs and traffic signals in the real-world can be synchronized in simulation, while simulated traffic information can be provided to testing CAVs’ communication system. Testing CAVs “think” they are surrounded by other vehicles and adjust behaviors accordingly. This technology provides a realistic traffic environment to the CAVs, so that test scenarios which require interactions with other vehicles or pedestrians can be performed. Compared to using real vehicles, simulated vehicles can be easily controlled and manipulated in generating different scenarios with much less cost and safety concerns.


  • 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, Ann Arbor
    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:

    Liu, Henry

  • Start Date: 20170102
  • Expected Completion Date: 20181228
  • Actual Completion Date: 20181228
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01645400
  • Record Type: Research project
  • Source Agency: Center for Connected and Automated Transportation
  • Contract Numbers: 69A3551747105
  • Files: UTC, RIP
  • Created Date: Aug 31 2017 3:25PM