Addressing data limitations in autonomous vehicles crash severity analysis: A hybrid framework for small samples and sample imbalance.
- DOI
- 10.1080/15389588.2026.2718496
- Published
- 2026 Aug 21
- Container
- Traffic injury prevention
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1080/15389588.2026.2718496,
title = {Addressing data limitations in autonomous vehicles crash severity analysis: A hybrid framework for small samples and sample imbalance.},
author = {Tang F and Wu R and Li N and Wang J and Zhang Z},
year = {2026},
journal = {Traffic injury prevention},
doi = {10.1080/15389588.2026.2718496},
url = {https://doi.org/10.1080/15389588.2026.2718496}
}RIS
TY - JOUR TI - Addressing data limitations in autonomous vehicles crash severity analysis: A hybrid framework for small samples and sample imbalance. AU - Tang F AU - Wu R AU - Li N AU - Wang J AU - Zhang Z PY - 2026 JO - Traffic injury prevention DO - 10.1080/15389588.2026.2718496 UR - https://doi.org/10.1080/15389588.2026.2718496 ER -
APA
F, T., R, W., N, L., J, W., & Z, Z. (2026). Addressing data limitations in autonomous vehicles crash severity analysis: A hybrid framework for small samples and sample imbalance.. Traffic injury prevention. https://doi.org/10.1080/15389588.2026.2718496
Source records
- pubmed · retrieved 2026-09-26T21:04:11.512Z