Automated vehicles: driver knowledge, attitudes and practices

While anticipated crash reductions are perhaps the greatest promise offered by automated vehicles, their realization will ultimately depend on driver knowledge and understanding of the functionality and limitations of semi- and fully-automated vehicles. Today, technology is advancing more quickly than our knowledge of how people will interact with and react to them. To address this issue, the Traffic Injury Research Foundation (TIRF), with funding from the Toyota Canada Foundation, conducted a national survey in 2016 to examine driver knowledge, attitudes, perceptions, and practices related to emerging automated vehicles. The survey was augmented with four focus groups that involved drivers and non-drivers representing several age groups. The primary focus of the study was on limited, self-driving, semi-automated vehicles (LSDVs) and fully-automated self-driving vehicles (FSDVs), and explored the following issues: 1. driver knowledge, attitudes, and perceptions; and, 2. driver practices in terms of acceptance and perceived ease of use, trust, and behavioural adaption. It also investigated ethical and liability issues related to automated vehicles (AVs), and perceptions about manufacturers of these vehicles.

• Record URL:
  http://www.tirf.ca/publications/PDF_publications/Automated%20Vehicles%20Driver%20Knowledge%20Attitudes%20and%20Practices-9.pdf
• 
• Summary URL:
  http://tirf.ca/publications/document_request.php?docid=369
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9781926857763
• Authors:
  • Robertson, R D
  • Meister, S R
  • Vanlaar, W G
• Publication Date: 2016-9

Language

• English

Media Info

• Pagination: 37p

Subject/Index Terms

• TRT Terms: Attitudes; Automated vehicle control; Behavior; Drivers; Focus groups; Public opinion; Questionnaires
• Uncontrolled Terms: Safe systems (road users)
• Geographic Terms: Canada
• ATRI Terms: Attitude; Autonomous vehicle; Driver behaviour; Focus group; Public opinion; Questionnaire
• ITRD Terms: 8735: Intelligent transport system
• Subject Areas: Society;

Filing Info

• Accession Number: 01618878
• Record Type: Publication
• Source Agency: ARRB
• ISBN: 9781926857763
• Files: ATRI
• Created Date: Dec 19 2016 11:25AM