Traffic prediction using MSSBiLS with self‐attention model

Due to gathering and examining a tremendous amount of traffic stream data, traffic blockage is the most important issue in the intelligent transportation framework. The main aim of this research work is “to find the appropriate deep learning time series models, to predict the future traffic of Denma...

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Veröffentlicht in:	Concurrency and computation 2022-07, Vol.34 (15), p.n/a
Hauptverfasser:	D, Suvitha, M, Vijayalakshmi
Format:	Artikel
Sprache:	eng
Schlagworte:	big data Classification data stockpiling Error reduction interpretation Machine learning Multilayer perceptrons multivariate sequential stacked bidirectional LSTM Recurrent neural networks self‐attention model
Online-Zugang:	Volltext
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