Urban traffic flow online prediction based on multi-component attention mechanism (Englisch)
Freier Zugriff
- Neue Suche nach: Sun, Bo
- Neue Suche nach: Sun, Tuo
- Neue Suche nach: Zhang, Yujia
- Neue Suche nach: Jiao, Pengpeng
- Neue Suche nach: Sun, Bo
- Neue Suche nach: Sun, Tuo
- Neue Suche nach: Zhang, Yujia
- Neue Suche nach: Jiao, Pengpeng
In:
IET Intelligent Transport Systems
;
14
, 10
;
1249-1258
;
2020
- Aufsatz (Zeitschrift) / Elektronische Ressource
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Titel:Urban traffic flow online prediction based on multi-component attention mechanism
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Beteiligte:Sun, Bo ( Autor:in ) / Sun, Tuo ( Autor:in ) / Zhang, Yujia ( Autor:in ) / Jiao, Pengpeng ( Autor:in )
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Erschienen in:IET Intelligent Transport Systems ; 14, 10 ; 1249-1258
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Verlag:
- Neue Suche nach: The Institution of Engineering and Technology
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Erscheinungsdatum:03.08.2020
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Format / Umfang:10 pages
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ISSN:
-
DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:convolutional neural nets , multidimensional decomposition , multicomponent flow data , MCA model , multicomponent attention method , traffic management , one-dimensional convolutional neural network , traffic design , nonlinear urban traffic flow prediction models , urban traffic flow online prediction , multicomponent attention mechanism , traffic flow residuals , recurrent neural network , traffic planning , autoregressive moving average processes , target flow prediction , time series , road traffic , bidirectional mechanism , long-term trends , recurrent neural nets
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Datenquelle:
Metadata by IET is licensed under CC BY 3.0
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