Hardening the CAV Ecosystem to Reduce Cybersecurity Risks – Year One

In this project, the study team takes a multi-pronged framework to secure the CAV ecosystem by simultaneously considering cybersecurity threats posed to CAVs, transportation infrastructure, and cyber infrastructure that support CAV operations and leveraging intelligent collaborations between CAVs and physical/cyber transportation infrastructures. The project team will investigate how to exploit cooperative perception and advanced communication technologies - especially emerging 5G/Next-Generation (NextG) networking and computing capabilities and combine them with innovative artificial intelligence and machine learning (AI/ML) algorithms to secure the CAV ecosystem through a list of research tasks including developing a secure and robust perception system, investigating the security of cooperative driving and communication between CAVs and infrastructure, and designing a secured CAV system through redundancy.


  • English


  • Status: Active
  • Funding: $625000
  • 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:

    University of Michigan Transportation Research Institute

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

    Stearns, Amy

  • Performing Organizations:

    University of Michigan, Ann Arbor

    North Campus
    Ann Arbor, MI  United States  48109

    Purdue University, Lyles School of Civil Engineering

    550 Stadium Mall Drive
    West Lafayette, IN  United States  47907

    University of Minnesota, Minneapolis

    Center for Transportation Studies
    Minneapolis, MN  United States 
  • Principal Investigators:

    Mao, Z. Morley

    Feng, Yiheng

    Zhang, Zhi-Li

  • Start Date: 20231001
  • Expected Completion Date: 20250930
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01906130
  • Record Type: Research project
  • Source Agency: Center for Connected and Automated Transportation
  • Contract Numbers: 69A3552348305
  • Files: UTC, RIP
  • Created Date: Jan 26 2024 4:47PM