Quantitative analysis of multi-factor coupled safety risks for automated driving: Empirical evidence from 232 accident cases.
- DOI
- 10.1016/j.aap.2026.108778
- Published
- 2026 Sep 17
- Container
- Accident; analysis and prevention
- Publisher
- Not recorded
- Open access
- unknown
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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:10.1016/j.aap.2026.108778,
title = {Quantitative analysis of multi-factor coupled safety risks for automated driving: Empirical evidence from 232 accident cases.},
author = {Li J and Yao X and Dong H and Chen N and Ning L and Dai B and Jia R},
year = {2026},
journal = {Accident; analysis and prevention},
doi = {10.1016/j.aap.2026.108778},
url = {https://doi.org/10.1016/j.aap.2026.108778}
}RIS
TY - JOUR TI - Quantitative analysis of multi-factor coupled safety risks for automated driving: Empirical evidence from 232 accident cases. AU - Li J AU - Yao X AU - Dong H AU - Chen N AU - Ning L AU - Dai B AU - Jia R PY - 2026 JO - Accident; analysis and prevention DO - 10.1016/j.aap.2026.108778 UR - https://doi.org/10.1016/j.aap.2026.108778 ER -
APA
J, L., X, Y., H, D., N, C., L, N., B, D., & R, J. (2026). Quantitative analysis of multi-factor coupled safety risks for automated driving: Empirical evidence from 232 accident cases.. Accident; analysis and prevention. https://doi.org/10.1016/j.aap.2026.108778
Source records
- pubmed · retrieved 2026-09-26T19:15:20.825Z