Cited by 102Traffic control and managementTransportation and Mobility InnovationsTraffic Prediction and Management Techniques

The impacts of connected autonomous vehicles on mixed traffic flow: A comprehensive review

Pan, Yuchen, Wu, Yu, Xu, Lu, Xia, Chengyi, Olson, David L.·2024·Physica A: Statistical Mechanics and its Applications

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  • Unstable traffic flow can arise from differences in cognitive and judgment abilities between AVs and non-AVs, as well as from driver behavior characteristics influenced by ODD.

    “Numerous studies have concluded that unstable traffic flow can arise from differences in cognitive and judgment abilities between AVs and non-AVs, as well as from driver behavior characteristics influenced by ODD [11][12][13].”

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Cited by

Sorted by citations

Authors
Pan, Y., Wu, Y., Xu, L., Xia, C., & Olson, D. L.
Affiliations
  • Renmin University of China (CN)
  • Tiangong University (CN)
  • University of Nebraska–Lincoln (US)
Corresponding author
Xu, Lu
Venue
Physica A: Statistical Mechanics and its Applications
Publisher
Elsevier BV
Published
2024-02
Volume
635
Pages
129454
ISSN
0378-4371 (ISSN-L)
OpenAlex
W4390546709
Cited by
102
References
9
Citations by year
2026: 47 · 2025: 40 · 2024: 15
FWCI
15.99
Type
journal article
Language
en
Open access
closed
Locations
  • Physica A Statistical Mechanics and its Applications (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
  • National Natural Science Foundation of China (72101258)
  • Renmin University of China (23XNA033)
  • Fundamental Research Funds for the Central Universities
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
  • Social Sciences › Transportation › Transportation and Mobility Innovations
  • Social Sciences › Transportation › Traffic Prediction and Management Techniques
Keywords
connected and autonomous vehicles, mixed traffic, traffic efficiency, traffic flow stability, road safety, energy emissions, environmental impact, human-driven vehicles

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