Cited by 1,221Traffic and Road SafetyAutonomous Vehicle Technology and SafetyHuman-Automation Interaction and Safety

Driving to safety: How many miles of driving would it take to demonstrate autonomous vehicle reliability?

Kalra, Nidhi, Paddock, Susan M.·2016·Transportation Research Part A: Policy and Practice

Integrity signals

Registry

Crossref · 10.1016/j.tra.2016.09.010

Cites

27 of 27 references verified0 citation errors · 0 not checkable

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Claims the paper makes

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  • An analysis suggests that hundreds of millions or billions of miles of testing would be needed for AVs to demonstrate a specific benchmark of safety on public roadways, potentially taking decades.

    “For example, the idea that AVs could be tested on public roadways until they demonstrate a specific benchmark of safety that has been challenged by an analysis suggesting that hundreds of millions or billions of miles of testing would be needed, potentially taking decades.8”
  • Conventional approaches may not be suitable for assessing AV risks.

    “Part of the challenge is that conventional approaches may not be suitable for assessing their risks.8”

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Authors
Kalra, N., & Paddock, S. M.
Affiliations
RAND Corporation (US)
Corresponding author
Kalra, Nidhi
Venue
Transportation Research Part A: Policy and Practice
Publisher
Elsevier BV
Published
2016-12
Volume
94
Pages
182-193
ISSN
0965-8564 (ISSN-L)
OpenAlex
W2525936901
Cited by
1,221
References
27
Citations by year
2026: 92 · 2025: 153 · 2024: 145 · 2023: 147 · 2022: 136 · 2021: 174 · 2020: 141 · 2019: 115 · 2018: 82 · 2017: 33 · 2016: 3
FWCI
147.09
Type
journal article
Language
en
Open access
closed
Locations
  • Transportation Research Part A Policy and Practice (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
RAND
Topics
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Traffic and Road Safety
  • Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
  • Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
Keywords
autonomous vehicles, vehicle safety, safety demonstration, statistical evidence, rare events, traffic fatalities, road traffic injuries, fleet testing, adaptive regulation, technology governance

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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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