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

Angela E. Kitali; Priyanka Alluri; Thobias Sando; Henrick Haule; Emmanuel Kidando; Richard Lentz

doi:10.1016/j.aap.2018.07.003

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

Angela E. Kitali
, Priyanka Alluri
, Thobias Sando
, Henrick Haule
, Emmanuel Kidando
, Richard Lentz

School of Engineering

Florida International University
University of North Florida

Producción científica: Article › revisión exhaustiva

Idioma original	English
Páginas (desde-hasta)	58-67
Número de páginas	10
Publicación	Accident Analysis and Prevention
Volumen	119
DOI	https://doi.org/10.1016/j.aap.2018.07.003
Estado	Published - oct 2018

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Sustainable cities and communities

ASJC Scopus Subject Areas

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

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10.1016/j.aap.2018.07.003

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title = "Likelihood estimation of secondary crashes using Bayesian complementary log-log model",

keywords = "Complementary log-log, Likelihood, Real-time traffic data, Secondary crashes",

author = "Kitali, \{Angela E.\} and Priyanka Alluri and Thobias Sando and Henrick Haule and Emmanuel Kidando and Richard Lentz",

note = "Publisher Copyright: {\textcopyright} 2018",

year = "2018",

month = oct,

doi = "10.1016/j.aap.2018.07.003",

language = "English",

volume = "119",

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AU - Kitali, Angela E.

AU - Alluri, Priyanka

AU - Sando, Thobias

AU - Haule, Henrick

AU - Kidando, Emmanuel

AU - Lentz, Richard

PY - 2018/10

Y1 - 2018/10

KW - Complementary log-log

KW - Likelihood

KW - Real-time traffic data

KW - Secondary crashes

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U2 - 10.1016/j.aap.2018.07.003

DO - 10.1016/j.aap.2018.07.003

M3 - Article

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AN - SCOPUS:85049434373

SN - 0001-4575

VL - 119

SP - 58

EP - 67

JO - Accident Analysis and Prevention

JF - Accident Analysis and Prevention

ER -

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

ODS de las Naciones Unidas

ASJC Scopus Subject Areas

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