Learning the Dynamics of Arterial Traffic From Probe Data Using a Dynamic Bayesian Network

Estimating and predicting traffic conditions in arterial networks using probe data has proven to be a substantial challenge. Sparse probe data represent the vast majority of the data available on arterial roads. This paper proposes a probabilistic modeling framework for estimating and predicting art...

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Bibliographic Details

Published in:	IEEE transactions on intelligent transportation systems Vol. 13; no. 4; pp. 1679 - 1693
Main Authors:	Hofleitner, A., Herring, R., Abbeel, P., Bayen, A.
Format:	Journal Article
Language:	English
Published:	IEEE 01.12.2012
Subjects:	Expectation-maximization algorithms Probes Queueing analysis queuing analysis Real-time systems Statistical learning
ISSN:	1524-9050, 1558-0016
Online Access:	Get full text
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