The impacts of connected autonomous vehicles on mixed traffic flow: A comprehensive review
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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].”
From Evaluation of Autonomous Driving Safety by Operational Design Domains (ODD) in Mixed Traffic (2024) · cites this paper as [12]
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Cited by
Sorted by citations
Evaluation of Autonomous Driving Safety by Operational Design Domains (ODD) in Mixed Traffic
Kim, H., Ko, J., Oh, C., & Kim, S. (2024) · Sustainability · doi:10.3390/su16229672 · Cited by 18 · see citing works
- 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
- Licence
- 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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