Training to Improve Situational Awareness Regarding Operational Design Domain in Driving Automation Systems

Though many believe that driving automation systems can properly function in all conditions or situations, all vehicles that are level 0 through 4 have a very specific operational design domain. When the driving automation system reaches the limit of its operational design domain, drivers may experience unexpected driving automation system behavior. Training programs that provide drivers with an experience of the system limitations and allow them to practice dealing with such limitations can prove effective as countermeasures to unexpected driving automation system behavior. The objective of this proposed research is to develop and test a training program that aims to improve situation awareness of the events which precede the point in time when a level 2 driving automation system has reached the edge of its operational design domain.

Project

  • Status: Active
  • Funding: $52500
  • Contract Numbers:

    69A3551747131

  • 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 Iowa, Iowa City

    National Advanced Driving Simulator, 2401 Oakdale Blvd
    Iowa City, IA  United States  52242-5003
  • Performing Organizations:

    University of Massachusetts, Amherst

    Department of Civil and Environmental Engineering
    130 Natural Resources Road
    Amherst, MA  United States  01003
  • Principal Investigators:

    Roberts, Shannon

  • Start Date: 20190601
  • Expected Completion Date: 20201130
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01699003
  • Record Type: Research project
  • Source Agency: Safety Research Using Simulation University Transportation Center (SaferSim)
  • Contract Numbers: 69A3551747131
  • Files: UTC, RiP
  • Created Date: Mar 19 2019 4:43PM