Quantifying System-Level Risk at Highway Rail-Grade Crossings: Integrating Spatial Autocorrelation and Explainable Machine Learning

Bridgelall R.

DOI: 10.20944/preprints202605.0781.v1
Published: 2026-05-12
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Cite this work

BibTeX

@article{allodium:10.20944/preprints202605.0781.v1,
  title = {Quantifying System-Level Risk at Highway Rail-Grade Crossings: Integrating Spatial Autocorrelation and Explainable Machine Learning},
  author = {Bridgelall R.},
  year = {2026},
  doi = {10.20944/preprints202605.0781.v1},
  url = {https://doi.org/10.20944/preprints202605.0781.v1}
}

RIS

TY  - JOUR
TI  - Quantifying System-Level Risk at Highway Rail-Grade Crossings: Integrating Spatial Autocorrelation and Explainable Machine Learning
AU  - Bridgelall R.
PY  - 2026
DO  - 10.20944/preprints202605.0781.v1
UR  - https://doi.org/10.20944/preprints202605.0781.v1
ER  -

APA

R., B. (2026). Quantifying System-Level Risk at Highway Rail-Grade Crossings: Integrating Spatial Autocorrelation and Explainable Machine Learning. https://doi.org/10.20944/preprints202605.0781.v1

Source records

europe-pmc · retrieved 2026-09-25T15:18:31.012Z