Impacts of Connected Vehicle Technology on Automated Vehicle Safety

Data shared over connected vehicle technologies (CVT) may provide a variety of performance benefits to transportation. CVT could improve safety as events unfold; however, although previous work has characterized some of the potential advantages of connectivity on human operated vehicles, the impacts of connectivity on automated driving systems (ADS) is not well established. The purpose of this proposed effort is to conduct a focused effort which leverages the SHRP2 Naturalistic Driving Study to estimate the potential impact of connectivity on safety for future on automated driving systems (ADS) in transportation. The research team will identify and reconstruct conflict events in the SHRP2 NDS. The team will then simulate the events with a simple model of an ADS both with and without CVT. Comparisons between the results of the simulations with and without CVT will shed light on the potential safety benefits of CVT when incorporated into an ADS. The research team will expand upon these preliminary results and conclusions by developing a more sophisticated simulation environment in which the safety benefits of several ADS models, with and without CVT, will be evaluated.

Language

  • English

Project

  • Status: Active
  • Funding: $339249
  • 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

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

    Harwood, Leslie

  • Performing Organizations:

    Virginia Polytechnic Institute and State University, Blacksburg

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

    Gorman, Thomas

  • Start Date: 20190310
  • Expected Completion Date: 20200309
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01701524
  • Record Type: Research project
  • Source Agency: Safety through Disruption University Transportation Center
  • Contract Numbers: 69A3551747115
  • Files: UTC, RiP
  • Created Date: Apr 8 2019 4:30PM