Training Drivers to Automated Vehicles

Let’s face it, this is the 21st Century and cars are changing. With the advent of self-driving technology, drivers need to adapt. The project team proposes to tackle a daunting issue: trust in automation. To that effect, 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/projects/detail/342

Language

• English

Project

• Status: Completed
• Funding: $224800
• Contract Numbers:

  69A3551747111

• Sponsor Organizations:

  Carnegie Mellon University

  Mobility21 National USDOT UTC for Mobility of Goods and People
  Pittsburgh, PA  United States  15213

  Office of the Assistant Secretary for Research and Technology

  University Transportation Center Program
  ,    
• Managing Organizations:

  Carnegie Mellon University

  Mobility21 National USDOT UTC for Mobility of Goods and People
  Pittsburgh, PA  United States  15213
• Project Managers:

  Kline, Robin

• Performing Organizations:

  University of Pennsylvania

  ,    
• Principal Investigators:

  Loeb, Helen

• Start Date: 20200701
• Expected Completion Date: 20230630
• Actual Completion Date: 20230901
• USDOT Program: University Transportation Centers

Subject/Index Terms

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

Filing Info

• Accession Number: 01760144
• Record Type: Research project
• Source Agency: National University Transportation Center for Improving Mobility (Mobility21)
• Contract Numbers: 69A3551747111
• Files: UTC, RIP
• Created Date: Dec 16 2020 3:01PM