Examining Driver Takeover Decisions and Trust of AVs at Rural Intersections

Details

• Creators:
  Morris, Nichole L. ; Schwieters, Katelyn R. ; Drahos, Bradley A. ; Easterlund, Peter
• Corporate Creators:
  University of Minnesota. Department of Mechanical Engineering ; Center for Connected and Automated Transportation (CCAT)
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  Autonomous Vehicle Handover Comfort Decision Making Driver Education Driving Behavior Human Factors Intersections Lane Keeping Level 3 Driving Automation Manual Control Psychological Trust Rural Areas Simulation Surveys Turning Lanes

  More +
• Publication/ Report Number:
  CTS 26-05
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report (Dec 2025 - Mar 2026)
• Corporate Publisher:
  University of Michigan. Center for Connected and Automated Transportation
• Abstract:
  The goal of this work was to explore whether the complexity of different rural intersections influenced driver trust and comfort in a conditionally automated vehicle (i.e., Level 3 SAE) navigating the intersection for them. In an online survey platform (UMN Qualtrics), 271 participants watched five brief curated videos of a simulated automated vehicle navigating different rural intersections, with or without the presence of traffic. Participants were asked to make a decision about whether they would like to take over manual control of the vehicle and then rated their trust and comfort with the automated vehicle (AV) navigating each intersection. Intersection type was not found to be predictive of AV trust and comfort with navigating the different intersections, however, drivers’ takeover decisions, level of education, past experience driving on J-turn intersections, and residence location predicted the level of trust and comfort with the automated vehicle. Additionally, predictors of being more comfortable with Level3 automated vehicles driving on J-turn intersections included education, having more automation features (e.g., adaptive cruise control, lane keeping assist) in their existing vehicles, and the belief that J-turns are a good idea. The outcome of this work led to the development of a repository of curated simulated videos that were made publicly available for future research projects.
• Format:
  PDF
• Funding:
  69A3552348305
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:a791441869fb0d6750f96114597ae0d63d180057bd057f8fa22ba2560f82198e0a69e910d4f318a1658fb581f01907023e0ff508c37d9dfb8e5477f351fe5c98
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/89830/dot_89830_DS1.pdf
• File Type:
  [PDF - 1.80 MB ]