Hybrid modeling of unobserved heterogeneity in Ohio freeway crash severity using RWIS data: A Random Forest-Correlated Mixed Logit approach

Esther Bukuru; Philip F. Balyagati; Thobias Sando; Emmanuel Kidando; Josiah Owusu-Danquah

doi:10.1080/15389588.2026.2663379

Hybrid modeling of unobserved heterogeneity in Ohio freeway crash severity using RWIS data: A Random Forest-Correlated Mixed Logit approach

Esther Bukuru
, Philip F. Balyagati
, Thobias Sando
, Emmanuel Kidando
, Josiah Owusu-Danquah

School of Engineering

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

Original language	English
Journal	Traffic Injury Prevention
DOIs	https://doi.org/10.1080/15389588.2026.2663379
State	Accepted/In press - 2026

ASJC Scopus Subject Areas

Safety Research
Public Health, Environmental and Occupational Health

Keywords

Correlated Mixed Logit
Random Forest
Road weather Information system (RWIS)
crash severity
severity Index
weather-responsive ITS

Access to Document

10.1080/15389588.2026.2663379

Cite this

@article{a13ee0febfa74e0f8abd87f963ddec15,

title = "Hybrid modeling of unobserved heterogeneity in Ohio freeway crash severity using RWIS data: A Random Forest-Correlated Mixed Logit approach",

keywords = "Correlated Mixed Logit, Random Forest, Road weather Information system (RWIS), crash severity, severity Index, weather-responsive ITS",

author = "Esther Bukuru and Balyagati, \{Philip F.\} and Thobias Sando and Emmanuel Kidando and Josiah Owusu-Danquah",

note = "Publisher Copyright: {\textcopyright} 2026 Taylor \& Francis Group, LLC.",

year = "2026",

doi = "10.1080/15389588.2026.2663379",

language = "English",

}

TY - JOUR

T1 - Hybrid modeling of unobserved heterogeneity in Ohio freeway crash severity using RWIS data

T2 - A Random Forest-Correlated Mixed Logit approach

AU - Bukuru, Esther

AU - Balyagati, Philip F.

AU - Sando, Thobias

AU - Kidando, Emmanuel

AU - Owusu-Danquah, Josiah

PY - 2026

Y1 - 2026

KW - Correlated Mixed Logit

KW - Random Forest

KW - Road weather Information system (RWIS)

KW - crash severity

KW - severity Index

KW - weather-responsive ITS

UR - https://www.scopus.com/pages/publications/105040539575

UR - https://www.scopus.com/pages/publications/105040539575#tab=citedBy

U2 - 10.1080/15389588.2026.2663379

DO - 10.1080/15389588.2026.2663379

M3 - Article

AN - SCOPUS:105040539575

SN - 1538-9588

JO - Traffic Injury Prevention

JF - Traffic Injury Prevention

ER -

Hybrid modeling of unobserved heterogeneity in Ohio freeway crash severity using RWIS data: A Random Forest-Correlated Mixed Logit approach

ASJC Scopus Subject Areas

Keywords

Access to Document

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