Bayesian Regression Approach to Estimate Speed Threshold under Uncertainty for Traffic Breakdown Event Identification

Emmanuel Kidando; Ren Moses; Thobias Sando

doi:10.1061/JTEPBS.0000217

Bayesian Regression Approach to Estimate Speed Threshold under Uncertainty for Traffic Breakdown Event Identification

Emmanuel Kidando, Ren Moses, Thobias Sando

School of Engineering

Florida State University

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

Original language	English
Article number	04019013
Journal	Journal of Transportation Engineering, Part A: Systems
Volume	145
Issue number	5
DOIs	https://doi.org/10.1061/JTEPBS.0000217
State	Published - May 1 2019

ASJC Scopus Subject Areas

Civil and Structural Engineering
Transportation

Keywords

Bayesian change-point regression
Gaussian distribution
Speed threshold
Speed-occupancy regression
Student-t distribution

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10.1061/JTEPBS.0000217

Cite this

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title = "Bayesian Regression Approach to Estimate Speed Threshold under Uncertainty for Traffic Breakdown Event Identification",

keywords = "Bayesian change-point regression, Gaussian distribution, Speed threshold, Speed-occupancy regression, Student-t distribution",

author = "Emmanuel Kidando and Ren Moses and Thobias Sando",

note = "Publisher Copyright: {\textcopyright} 2019 American Society of civil Engineers.",

year = "2019",

month = may,

day = "1",

doi = "10.1061/JTEPBS.0000217",

language = "English",

volume = "145",

journal = "Journal of Transportation Engineering, Part A: Systems",

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TY - JOUR

T1 - Bayesian Regression Approach to Estimate Speed Threshold under Uncertainty for Traffic Breakdown Event Identification

AU - Kidando, Emmanuel

AU - Moses, Ren

AU - Sando, Thobias

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KW - Bayesian change-point regression

KW - Gaussian distribution

KW - Speed threshold

KW - Speed-occupancy regression

KW - Student-t distribution

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Bayesian Regression Approach to Estimate Speed Threshold under Uncertainty for Traffic Breakdown Event Identification

ASJC Scopus Subject Areas

Keywords

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