Evaluating recurring traffic congestion using change point regression and random variation markov structured model

Emmanuel Kidando; Ren Moses; Thobias Sando; Eren E. Ozguven

doi:10.1177/0361198118787987

Evaluating recurring traffic congestion using change point regression and random variation markov structured model

Emmanuel Kidando
, Ren Moses
, Thobias Sando
, Eren E. Ozguven

School of Engineering

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

Original language	English
Pages (from-to)	63-74
Number of pages	12
Journal	Transportation Research Record
Volume	2672
Issue number	20
DOIs	https://doi.org/10.1177/0361198118787987
State	Published - Jan 1 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

ASJC Scopus Subject Areas

Civil and Structural Engineering
Mechanical Engineering

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10.1177/0361198118787987

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title = "Evaluating recurring traffic congestion using change point regression and random variation markov structured model",

author = "Emmanuel Kidando and Ren Moses and Thobias Sando and Ozguven, \{Eren E.\}",

note = "Publisher Copyright: {\textcopyright} National Academy of Sciences: Transportation Research Board 2018.",

year = "2018",

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day = "1",

doi = "10.1177/0361198118787987",

language = "English",

volume = "2672",

pages = "63--74",

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AU - Kidando, Emmanuel

AU - Moses, Ren

AU - Sando, Thobias

AU - Ozguven, Eren E.

PY - 2018/1/1

Y1 - 2018/1/1

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EP - 74

JO - Transportation Research Record

JF - Transportation Research Record

IS - 20

ER -

Evaluating recurring traffic congestion using change point regression and random variation markov structured model

UN SDGs

ASJC Scopus Subject Areas

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