Cited by 3,214Transportation and Mobility InnovationsAutonomous Vehicle Technology and SafetyHuman-Automation Interaction and Safety

Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations

Fagnant, Daniel J., Kockelman, Kara·2015·Transportation Research Part A: Policy and Practice

Integrity signals

Registry

Crossref · 10.1016/j.tra.2015.04.003

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2 of 2 references verified0 citation errors · 0 not checkable

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  • Development of autonomous vehicles can result in at least 40% reduction in fatal crashes.

    “suggesting that development of autonomous vehicles can result in at least 40% reduction in fatal crashes.”

    From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Fagnant & Kockelman, 2015

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Authors
Fagnant, D. J., & Kockelman, K.
Affiliations
  • University of Utah (US)
  • The University of Texas at Austin (US)
Corresponding author
Kockelman, Kara
Venue
Transportation Research Part A: Policy and Practice
Publisher
Elsevier BV
Published
2015-07
Volume
77
Pages
167-181
ISSN
0965-8564 (ISSN-L)
OpenAlex
W316935178
Cited by
3,214
References
2
Citations by year
2026: 186 · 2025: 316 · 2024: 331 · 2023: 373 · 2022: 367 · 2021: 417 · 2020: 431 · 2019: 363 · 2018: 250 · 2017: 107 · 2016: 49 · 2015: 19 · 2014: 5
FWCI
137.89
Type
journal article
Language
en
Open access
closed
Locations
  • Transportation Research Part A Policy and Practice (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Transportation Research Board 93rd Annual MeetingTransportation Research Board
Funders
National Science Foundation
Topics
  • Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
  • Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
  • Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
Keywords
autonomous vehicles, transport policy, liability, cybersecurity, data privacy, crash safety, travel time reduction, fuel economy, parking reduction, federal regulation, technology adoption barriers

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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