An application of Bayesian multilevel model to evaluate variations in stochastic and dynamic transition of traffic conditions

Emmanuel Kidando; Ren Moses; Thobias Sando; Eren Erman Ozguven

doi:10.1007/s40534-019-00199-2

An application of Bayesian multilevel model to evaluate variations in stochastic and dynamic transition of traffic conditions

Emmanuel Kidando
, Ren Moses
, Thobias Sando
, Eren Erman Ozguven

School of Engineering

Mercer University at Macon

Producción científica: Article › revisión exhaustiva

Idioma original	English
Páginas (desde-hasta)	235-249
Número de páginas	15
Publicación	Journal of Modern Transportation
Volumen	27
N.º	4
DOI	https://doi.org/10.1007/s40534-019-00199-2
Estado	Published - dic 1 2019

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Sustainable cities and communities

ASJC Scopus Subject Areas

Transportation
Mechanical Engineering
Computer Science Applications
Electrical and Electronic Engineering

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10.1007/s40534-019-00199-2

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title = "An application of Bayesian multilevel model to evaluate variations in stochastic and dynamic transition of traffic conditions",

keywords = "Bayesian frameworks, Days of the week, Disparity effect, Dynamic transition of traffic regimes, Hierarchical model, Lane lateral locations",

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AU - Sando, Thobias

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KW - Days of the week

KW - Disparity effect

KW - Dynamic transition of traffic regimes

KW - Hierarchical model

KW - Lane lateral locations

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An application of Bayesian multilevel model to evaluate variations in stochastic and dynamic transition of traffic conditions

ODS de las Naciones Unidas

ASJC Scopus Subject Areas

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