Cited by 1,388Traffic control and managementTraffic Prediction and Management TechniquesTransportation and Mobility Innovations

Influence of connected and autonomous vehicles on traffic flow stability and throughput

Talebpour, Alireza, Mahmassani, Hani S.·2016·Transportation Research Part C: Emerging Technologies

Integrity signals

Registry

Crossref · 10.1016/j.trc.2016.07.007

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2 of 2 references verified0 citation errors · 0 not checkable

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  • Road capacity increases with an increase in penetration technology.

    “Talebpour & Mahmassani (2016) conclude that the road capacity increases with an increase in penetration technology”

    From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Talebpour & Mahmassani, 2016

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Authors
Talebpour, A., & Mahmassani, H. S.
Affiliations
  • Texas A&M University (US)
  • Northwestern University (US)
Corresponding author
Mahmassani, Hani S.
Venue
Transportation Research Part C: Emerging Technologies
Publisher
Elsevier BV
Published
2016-10
Volume
71
Pages
143-163
ISSN
0968-090X (ISSN-L)
OpenAlex
W2493168586
Cited by
1,388
References
2
Citations by year
2026: 152 · 2025: 147 · 2024: 163 · 2023: 166 · 2022: 172 · 2021: 171 · 2020: 168 · 2019: 128 · 2018: 76 · 2017: 41 · 2016: 4
FWCI
69.80
Type
journal article
Language
en
Open access
closed
Locations
Transportation Research Part C Emerging Technologies (publishedVersion)
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
  • Physical Sciences › Engineering › Building and Construction › Traffic Prediction and Management Techniques
  • Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
Keywords
connected and autonomous vehicles, traffic flow stability, traffic throughput, string stability, market penetration rate, vehicle communication, highway traffic, traffic flow modeling

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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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