Using Driver State Detection in Automated Driving

The next several years will see a large increase in automated vehicle capabilities. High levels of automation will require bi-directional transfers of control between the driver and vehicle. These control transfer situations pose one of the greatest potential safety shortfalls. One specific issue that arises is that drivers may be unfit or ill-prepared to retake control from the vehicle because of distraction, drowsiness, or intoxication. Driver state monitoring systems based on eye tracking, head tracking, and other measures may be useful in such situations. This project, which builds on previous SaferSim automated vehicle research, will utilize driving simulation to examine how driver state information can be used in the context of highly-automated driving. Specifically, we will investigate whether situational awareness can be inferred from state monitoring data and the time needed to regain situational awareness and effectively take control of the vehicle for drivers in impaired states. Differences in response time and transfer of control as a function of driver state would indicate the need for alternate or additional interventions prior to the emergence of critical events and the results of this research will help identify potential intervention strategies.

Language

  • English

Project

  • Status: Active
  • Funding: $53000
  • Contract Numbers:

    69A3551747131

  • Sponsor Organizations:

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue, SE
    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 Iowa, Iowa City

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

    Gaspar, John

    Schwarz, Chris

    Brown, Timothy

  • Start Date: 20170801
  • Expected Completion Date: 20180831
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01636729
  • Record Type: Research project
  • Source Agency: Safety Research Using Simulation University Transportation Center (SaferSim)
  • Contract Numbers: 69A3551747131
  • Files: UTC, RiP
  • Created Date: Mar 22 2017 10:06AM