Link-based traffic state estimation and prediction for arterial networks using license-plate recognition data

•Urban network-level traffic states inference model using partially available data.•Complete solution for link queue lengths and travel times inference using LPR data.•New framework combines traffic flow theory and customized machine learning models.•Applicable to LPR data and other similar vehicle...

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Veröffentlicht in:	Transportation research. Part C, Emerging technologies Jg. 117; S. 102660
Hauptverfasser:	Zhan, Xianyuan, Li, Ruimin, Ukkusuri, Satish V.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.08.2020
Schlagworte:	Arterial network Gaussian process Hybrid dynamic Bayesian network License plate recognition data Queue length approximation Signal timing inference Traffic state estimation Arterial network Traffic state estimation Gaussian process License plate recognition data Hybrid dynamic Bayesian network Signal timing inference Queue length approximation
ISSN:	0968-090X, 1879-2359
Online-Zugang:	Volltext
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