A full Bayesian approach to appraise the safety effects of pedestrian countdown signals to drivers

Angela E. Kitali; P. E.Thobias Sando

doi:10.1016/j.aap.2017.07.004

A full Bayesian approach to appraise the safety effects of pedestrian countdown signals to drivers

Angela E. Kitali, P. E.Thobias Sando

School of Engineering

University of North Florida

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

Original language	English
Pages (from-to)	327-335
Number of pages	9
Journal	Accident Analysis and Prevention
Volume	106
DOIs	https://doi.org/10.1016/j.aap.2017.07.004
State	Published - Sep 2017

ASJC Scopus Subject Areas

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

Keywords

Crash modification factor
Crash modification function
Full Bayes
Pedestrian countdown signal

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10.1016/j.aap.2017.07.004

Cite this

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title = "A full Bayesian approach to appraise the safety effects of pedestrian countdown signals to drivers",

keywords = "Crash modification factor, Crash modification function, Full Bayes, Pedestrian countdown signal",

author = "Kitali, {Angela E.} and Sando, {P. E.Thobias}",

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doi = "10.1016/j.aap.2017.07.004",

language = "English",

volume = "106",

pages = "327--335",

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A full Bayesian approach to appraise the safety effects of pedestrian countdown signals to drivers

ASJC Scopus Subject Areas

Keywords

Access to Document

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