Time-to-event crash severity prediction at highway-rail grade crossings with monotonic neural networks

Amin Keramati, Pan Lu, Yi Hao Ren

Open source

DOI: 10.1016/j.aap.2025.108385
Published: 2026-03
Container: Accident Analysis & Prevention
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.aap.2025.108385,
  title = {Time-to-event crash severity prediction at highway-rail grade crossings with monotonic neural networks},
  author = {Amin Keramati and Pan Lu and Yi Hao Ren},
  year = {2026},
  journal = {Accident Analysis \&amp; Prevention},
  doi = {10.1016/j.aap.2025.108385},
  url = {https://doi.org/10.1016/j.aap.2025.108385}
}

RIS

TY  - JOUR
TI  - Time-to-event crash severity prediction at highway-rail grade crossings with monotonic neural networks
AU  - Amin Keramati
AU  - Pan Lu
AU  - Yi Hao Ren
PY  - 2026
JO  - Accident Analysis &amp; Prevention
DO  - 10.1016/j.aap.2025.108385
UR  - https://doi.org/10.1016/j.aap.2025.108385
ER  -

APA

Keramati, A., Lu, P., & Ren, Y. H. (2026). Time-to-event crash severity prediction at highway-rail grade crossings with monotonic neural networks. Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2025.108385

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crossref · retrieved 2026-09-26T08:03:28.004Z