Balancing Safety, Cyber-Security, and Mobility: Quantifying the Impact of Sensor Redundancy in Connected and Automated Vehicles

This project aims to investigate the impact of sensor redundancy on enhancing perception fidelity, fault tolerance, and threat detection and identification performance within electric autonomous vehicles. It will analyze these advantages alongside the potential drawbacks such as increased vehicle production costs and energy demands associated with redundant sensors, utilizing a thorough analytical framework. Additionally, the study will explore the feasibility of offloading redundant sensor functionalities to RSUs, thereby optimizing resource utilization. The research will involve comprehensive data collection and model validation at Mcity.

Language

  • English

Project

  • Status: Active
  • Funding: $304738
  • Contract Numbers:

    69A3552348305

  • 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

    Bezzina, Debra

  • Performing Organizations:

    University of Michigan, Ann Arbor

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

    Masoud, Neda

  • Start Date: 20240701
  • Expected Completion Date: 20260701
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01929523
  • Record Type: Research project
  • Source Agency: Center for Connected and Automated Transportation
  • Contract Numbers: 69A3552348305
  • Files: UTC, RIP
  • Created Date: Sep 4 2024 5:25PM