Parameter estimation for Gipps’ car following model in a Bayesian framework

Car following model is an important part in traffic modelling and has attracted a lot of attentions in the literature. As the proposed car following models become more complex with more components, reliably estimating their parameters becomes crucial to enhance model predictive performance. While mo...

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Veröffentlicht in:	Physica A Jg. 639; S. 129671
Hauptverfasser:	Ting, Samson, Lymburn, Thomas, Stemler, Thomas, Sun, Yuchao, Small, Michael
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.04.2024
Schlagworte:	Adaptive Markov chain Monte Carlo Bayesian inference Model calibration and validation Uncertainty quantification Adaptive Markov chain Monte Carlo Uncertainty quantification Bayesian inference Model calibration and validation
ISSN:	0378-4371, 1873-2119
Online-Zugang:	Volltext
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