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Likelihood estimation of secondary crashes using Bayesian complementary log-log model

  • Angela E. Kitali
  • , Priyanka Alluri
  • , Thobias Sando
  • , Henrick Haule
  • , Emmanuel Kidando
  • , Richard Lentz
  • Florida International University
  • University of North Florida

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

Original languageEnglish
Pages (from-to)58-67
Number of pages10
JournalAccident Analysis and Prevention
Volume119
DOIs
StatePublished - Oct 2018

UN SDGs

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

  1. 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

  • Complementary log-log
  • Likelihood
  • Real-time traffic data
  • Secondary crashes

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