Assessing Truck Drivers’ and Fleet Managers’ Opinions Towards Highly Automated Driving
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In Rezaei and Caulfield survey, 71% believe manufacturers should be liable, 22% insurance companies.
“Additionally, 71% of the respondents believe that AVs’ manufacturers should be the liable agency in case of accident, while 22% believe that insurance companies should be liable [198].”
From Public acceptance and perception of autonomous vehicles: a comprehensive review (2021) · cites this paper as [198]
Rezaei and Caulfield survey shows people are not at all willing to accept liability for AVs.
“A second survey by Rezaei, and Caulfield show that people are not at all willing to accept liability for AVs.”
From Public acceptance and perception of autonomous vehicles: a comprehensive review (2021) · cites this paper as [198]
In Rezaei and Caulfield survey, almost 60% believe they must not be liable, 14% believe they should be liable.
“Results show that almost 60% of the respondents believe they must not be liable in case of accident, while only 14% believe they should be liable.”
From Public acceptance and perception of autonomous vehicles: a comprehensive review (2021) · cites this paper as [198]
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“Additionally, 71% of the respondents believe that AVs’ manufacturers should be the liable agency in case of accident, while 22% believe that insurance companies should be liable [198].”
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- Authors
- Richardson, N., Doubek, F., Kuhn, K., & Stumpf, A.
- Affiliations
- Technical University of Munich (DE)
- Corresponding author
- Richardson, Natalie
- ORCID
- Richardson, Natalie
- Venue
- Advances in Intelligent Systems and Computing
- Publisher
- Springer International Publishing
- Published
- 2016-07-07
- Pages
- 473-484
- ISSN
- 2194-5357 (ISSN-L)
- 2194-5365
- OpenAlex
- W2480563971
- Cited by
- 32
- References
- 18
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 4 · 2023: 5 · 2022: 3 · 2021: 4 · 2020: 1 · 2019: 5 · 2018: 5 · 2017: 2 · 2016: 1
- FWCI
- 19.26
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Advances in intelligent systems and computing (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- highly automated driving, truck drivers, fleet managers, technology acceptance, driver attitudes, long-haul trucking, legal liability, driving safety, transport companies
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