Training Drivers to Automated Vehicles

In this research an In Car Mixed Reality Driving Simulator will be used to assess the need to train drivers to Advanced Driver Assistance Systems (ADAS) and the tools and methods needed to encourage skeptical drivers of various ages to try and trust automation and self-driving technology.

• Record URL:
  • https://ppms.cit.cmu.edu/media/project_files/Final_Report_-_342.pdf
• 
• Summary URL:
  • https://ppms.cit.cmu.edu/projects/detail/342
• Record URL:
  • https://rosap.ntl.bts.gov/view/dot/70407
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  National University Transportation Center for Improving Mobility (Mobility21)

  Carnegie Mellon University
  Pittsburgh, PA  United States  15213

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Mangharam, Rahul
  • 0000-0002-3388-8283
  • Loeb, Helen
  • 0000-0001-5762-2044
  • Qiao, Zhijie
  • 0000-0001-5115-7356
• Publication Date: 2023-7-31

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Research Report
• Features: Appendices; Figures; Photos; References; Tables;
• Pagination: 70p

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Driver support systems; Driver training; Drivers; Driving simulators; Psychological trust
• Subject Areas: Education and Training; Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01894694
• Record Type: Publication
• Files: UTC, NTL, TRIS, ATRI, USDOT
• Created Date: Sep 26 2023 5:04PM