UIRAM: An intention-uncertainty-based risk assessment framework for interactive traffic scenarios.

Wang C, Xiong C, Hu M, Liu Y, Ma C, Zhu J, Liu Q.

DOI: 10.1016/j.aap.2026.108580
Published: 2026-05-07
Container: Accid Anal Prev
Publisher: Not recorded
Open access: no

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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.2026.108580,
  title = {UIRAM: An intention-uncertainty-based risk assessment framework for interactive traffic scenarios.},
  author = {Wang C and  Xiong C and  Hu M and  Liu Y and  Ma C and  Zhu J and  Liu Q.},
  year = {2026},
  journal = {Accid Anal Prev},
  doi = {10.1016/j.aap.2026.108580},
  url = {https://doi.org/10.1016/j.aap.2026.108580}
}

RIS

TY  - JOUR
TI  - UIRAM: An intention-uncertainty-based risk assessment framework for interactive traffic scenarios.
AU  - Wang C
AU  -  Xiong C
AU  -  Hu M
AU  -  Liu Y
AU  -  Ma C
AU  -  Zhu J
AU  -  Liu Q.
PY  - 2026
JO  - Accid Anal Prev
DO  - 10.1016/j.aap.2026.108580
UR  - https://doi.org/10.1016/j.aap.2026.108580
ER  -

APA

C, W., C, X., M, H., Y, L., C, M., J, Z., & Q., L. (2026). UIRAM: An intention-uncertainty-based risk assessment framework for interactive traffic scenarios.. Accid Anal Prev. https://doi.org/10.1016/j.aap.2026.108580

Source records

europe-pmc · retrieved 2026-09-25T13:25:16.822Z