Young Drivers’ Visual Search Behaviors in Automated Vehicles

There have been rapid advances in technologies that move us closer to the deployment of vehicles with higher levels of automated driving functionalities. Despite the promise of improved safety and reductions in crashes, injuries, and fatalities, there are still significant unknowns regarding the human factors of such vehicles, especially in terms of how drivers or operators of such vehicles will adapt to and use these systems. Moreover, there are unknowns about the type and level of impact of these advanced vehicle technologies on drivers of different age groups, experience, or other characteristics. For SAE Level 2 and Level 3 vehicle automation the human operator still has a responsibility towards monitoring the driving environment, looking out for potential hazards, and being available to take over control of the vehicle when the AV system is unable to do so safely. Monitoring and lookout behavior thus is a critical component of the human operator’s task. These behaviors however are known to be a deficiency in younger drivers during manual driving, and it is unknown if these deficient behaviors will carry over or change during automated driving. To better understand the visual gaze behavior of young drivers during automated driving, an experiment was conducted to measure driver visual gaze behaviors during automated driving and contrast that with behaviors during manual driving.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ANB30 Standing Committee on Operator Education and Regulation.
  • Corporate Authors:

    Transportation Research Board

    ,    
  • Authors:
    • Pradhan, Anuj K
    • Jeong, Heejin
    • Lin, Brian
    • Zakrajsek, Jennifer
    • Ryan, Lindsay
    • Eby, David
    • Molnar, Lisa
  • Conference:
  • Date: 2019

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References;
  • Pagination: 4p

Subject/Index Terms

Filing Info

  • Accession Number: 01697708
  • Record Type: Publication
  • Report/Paper Numbers: 19-03598
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 7 2018 9:35AM