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Prediction of vehicle occupants injury at signalized intersections using real-time traffic and signal data

  • Emmanuel Kidando
  • , Angela E. Kitali
  • , Boniphace Kutela
  • , Mahyar Ghorbanzadeh
  • , Alican Karaer
  • , Mohammadreza Koloushani
  • , Ren Moses
  • , Eren E. Ozguven
  • , Thobias Sando
  • Mercer University
  • Florida International University
  • Florida State University

Research output: Contribution to journal › Article › peer-review

Original languageEnglish
Article number105869
JournalAccident Analysis and Prevention
Volume149
DOIs
StatePublished - Jan 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

ASJC Scopus Subject Areas

  • Human Factors and Ergonomics
  • Safety, Risk, Reliability and Quality
  • Public Health, Environmental and Occupational Health
  • Law

Keywords

  • Event-based data
  • High-resolution
  • Random Forest
  • Real-time data
  • Vehicle occupant injury
  • XGBoost classifiers

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