Modeling highway-rail grade crossing (HRGC) crash severity using statistical and machine learning methods Article

Soltaninejad, Mostafa, Salum, Jimoku, Kinero, Abdallah et al. (2025). Modeling highway-rail grade crossing (HRGC) crash severity using statistical and machine learning methods . International Journal of Injury Control and Safety Promotion, 32(3), 523-547. 10.1080/17457300.2025.2541666

cited authors

  • Soltaninejad, Mostafa; Salum, Jimoku; Kinero, Abdallah; Alluri, Priyanka

sustainable development goals

authors

publication date

  • July 3, 2025

published in

keywords

  • ACCIDENTS
  • AGE
  • CLASSIFICATION
  • CONTRIBUTING FACTORS
  • DRIVER INJURY SEVERITY
  • Highway-rail grade crossing
  • KEY FACTORS
  • Life Sciences & Biomedicine
  • Public, Environmental & Occupational Health
  • RANDOM FOREST
  • Random Forest
  • Science & Technology
  • WEATHER
  • XGBOOST
  • XGBoost
  • crash severity
  • ordinal logistic regression

Digital Object Identifier (DOI)

start page

  • 523

end page

  • 547

volume

  • 32

issue

  • 3