Measuring the Safety of ADS: How safe is safe enough?

Automated driving systems (ADS) are being developed faster than any point in history. There is a need to have an independent system to measure the safety of ADS across technologies and corporations. There are a variety of efforts around the world trying to estimate the impact of these systems on safety both prior to and after implementation. A missing piece that could allow for more cohesion and safer implementation is the knowledge of what type of data is needed for the refinement and further development of these systems. The purpose of this project is to determine the best method to collect data on the earliest adopter of these advanced vehicle control system and how to rapidly to use this data to evaluate the safety of these systems in the field. A new data acquisition system will be developed through this project according. The data collected by this new data acquisition system will be analyzed, including root cause assessments to measure the safety levels of these systems, as well as how to understand why a system may not be achieving the safety benefit envisioned. The project focus will be on the data that should be collected, how to collect that data, how to rapidly get that data from the field and how to rapidly use that data to assess the safety of these advanced features including any benefit and disbenefits. The project scope will not include developing a data acquisition system for this purpose but will include envisioning, developing, and testing some of the key components required to access and analyze the necessary data.

Language

  • English

Project

  • Status: Active
  • Funding: $759406
  • Contract Numbers:

    69A3551747115

  • 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:

    Safety through Disruption University Transportation Center (Safe-D)

    Virginia Tech Transportation Institute
    Blacksburg, VA  United States  24060
  • Project Managers:

    Glenn, Eric

  • Performing Organizations:

    Virginia Tech Transportation Institute

    3500 Transportation Research Plaza
    Blacksburg, Virginia  United States  24061
  • Principal Investigators:

    Hankey, Jon

  • Start Date: 20220701
  • Expected Completion Date: 20230630
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01851107
  • Record Type: Research project
  • Source Agency: Safety through Disruption University Transportation Center (Safe-D)
  • Contract Numbers: 69A3551747115
  • Files: UTC, RIP
  • Created Date: Jul 7 2022 1:35PM