Bayesian inference of channelized section spillover via Markov Chain Monte Carlo sampling

Hongsheng Qi; Xianbiao Hu

doi:10.1016/j.trc.2018.11.004

Bayesian inference of channelized section spillover via Markov Chain Monte Carlo sampling

Hongsheng Qi
, Xianbiao Hu

Civil, Architectural and Environmental Engineering

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

Original language	English
Pages (from-to)	478-498
Number of pages	21
Journal	Transportation Research Part C: Emerging Technologies
Volume	97
DOIs	https://doi.org/10.1016/j.trc.2018.11.004
State	Published - Dec 2018

ASJC Scopus Subject Areas

Civil and Structural Engineering
Automotive Engineering
Transportation
Management Science and Operations Research

Keywords

Bayesian model
Channelized section spillover
Monte Carlo Markov Chain

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10.1016/j.trc.2018.11.004

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title = "Bayesian inference of channelized section spillover via Markov Chain Monte Carlo sampling",

keywords = "Bayesian model, Channelized section spillover, Monte Carlo Markov Chain",

author = "Hongsheng Qi and Xianbiao Hu",

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

year = "2018",

month = dec,

doi = "10.1016/j.trc.2018.11.004",

language = "English",

volume = "97",

pages = "478--498",

journal = "Transportation Research Part C: Emerging Technologies",

issn = "0968-090X",

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TY - JOUR

T1 - Bayesian inference of channelized section spillover via Markov Chain Monte Carlo sampling

AU - Qi, Hongsheng

AU - Hu, Xianbiao

PY - 2018/12

Y1 - 2018/12

KW - Bayesian model

KW - Channelized section spillover

KW - Monte Carlo Markov Chain

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UR - https://www.scopus.com/pages/publications/85056797804#tab=citedBy

U2 - 10.1016/j.trc.2018.11.004

DO - 10.1016/j.trc.2018.11.004

M3 - Article

SN - 0968-090X

VL - 97

SP - 478

EP - 498

JO - Transportation Research Part C: Emerging Technologies

JF - Transportation Research Part C: Emerging Technologies

ER -

Bayesian inference of channelized section spillover via Markov Chain Monte Carlo sampling

ASJC Scopus Subject Areas

Keywords

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