Dynamic driving environment complexity quantification method and its verification
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In real-world road environments, various static and dynamic factors present in the environment and their interactions with vehicles can amplify unstable traffic flow.
“In realworld road environments, various static and dynamic factors present in the environment and their interactions with vehicles can amplify unstable traffic flow [10].”
From Evaluation of Autonomous Driving Safety by Operational Design Domains (ODD) in Mixed Traffic (2024) · cites this paper as [10]
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
“In real-world road environments, various static and dynamic factors present in the environment and their interactions with vehicles can amplify unstable traffic flow [10].”
- Authors
- Yu, R., Zheng, Y., & Qu, X.
- Affiliations
- Tongji University (CN)
- Chalmers University of Technology (SE)
- Corresponding author
- Zheng, Yin
- Venue
- Transportation Research Part C: Emerging Technologies
- Publisher
- Elsevier BV
- Published
- 2021-06
- Volume
- 127
- Pages
- 103051
- ISSN
- 0968-090X (ISSN-L)
- OpenAlex
- W3147220144
- Cited by
- 50
- References
- 0
- Citations by year
- 2026: 10 · 2025: 12 · 2024: 19 · 2023: 5 · 2022: 3 · 2021: 1
- FWCI
- 2.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Transportation Research Part C Emerging Technologies (publishedVersion)
- Chalmers Research (Chalmers University of Technology) (submittedVersion)
- Funders
- National Key Research and Development Program of China (2018YFB0105205)
- National Natural Science Foundation of China (71771174)
- Shanghai Municipal Education Commission
- Shanghai Education Development Foundation
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Traffic and Road Safety
- Keywords
- autonomous vehicles, scenario-based testing, vehicle-to-vehicle interaction, Responsibility-Sensitive Safety, encounter angle, Shannon entropy, inter-rater reliability, urban streets
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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