Evaluation of Autonomous Vehicles and Smart Technologies for Their Impact on Traffic Safety and Traffic Congestion

We propose to evaluate these known consequences of autonomous systems in aviation for their effects on driver safety. We will use this information to predict changes in crash rates and subsequent surprise traffic congestion for different levels of automation. In effect, we will leverage the expertise and experience of the PI and Co-I on automated systems in aerospace applications to the domain of driver performance and system outcomes. Our specific objectives are as follows: Determine from a review of existing research on operator inattention, situation awareness and trust in automation, as a function of levels of automation the potential impact on driver performance and subsequent traffic crash risk and surprise congestion. Develop and run a driving simulation to identify driver performance costs as the level of automation increases from manual driving (L0) to fully automated travel (L3-L4). Determine the extent to which driver performance is affected by situation awareness, workload, trust in automation and inattention. Modelling the effects identified in the driving simulation on potential changes in vehicle crash rates and surprise traffic congestion associated with negative automation effects. By meeting these objectives, we will contribute important information for the design of autonomous vehicles and infrastructure needed to support them. We expect, therefore, to present the results of our work at conferences in human factors, and journal articles in human factors and traffic safety.


  • English


  • Status: Active
  • Funding: $105,000.00
  • Sponsor Organizations:

    California Department of Transportation

    1227 O Street
    Sacramento, CA  United States  95843
  • Managing Organizations:

    METRANS Transportation Center

    University of Southern California
    Los Angeles, CA  United States  90089-0626
  • Project Managers:

    Brinkerhoff, Cort

    Soriano, Katrina

  • Performing Organizations:

    California State University, Long Beach

    1250 Bellflower Boulevard
    Long Beach, CA  United States  90840
  • Principal Investigators:

    Miles, James

  • Start Date: 20190201
  • Expected Completion Date: 20200131
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01698462
  • Record Type: Research project
  • Source Agency: METRANS Transportation Center
  • Files: RiP
  • Created Date: Mar 4 2019 11:42AM