Supervised Weighting-Online Learning Algorithm for Short-Term Traffic Flow Prediction

Prediction of short-term traffic flow has become one of the major research fields in intelligent transportation systems. Accurately estimated traffic flow forecasts are important for operating effective and proactive traffic management systems in the context of dynamic traffic assignment. For predic...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems Jg. 14; H. 4; S. 1700 - 1707
Hauptverfasser:	Young-Seon Jeong, Young-Ji Byon, Mendonca Castro-Neto, Manoel, Easa, Said M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.12.2013
Schlagworte:	Artificial neural networks Data models Intelligent transportation systems (ITSs) online learning weighted support-vector regression (OLWSVR) Prediction algorithms Predictive models short-term traffic flow forecast supervised algorithm Support vector machines Traffic control
ISSN:	1524-9050, 1558-0016
Online-Zugang:	Volltext
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