FASTNN: A Deep Learning Approach for Traffic Flow Prediction Considering Spatiotemporal Features

Traffic flow forecasting is a critical input to intelligent transportation systems. Accurate traffic flow forecasting can provide an effective reference for implementing traffic management strategies, developing travel route planning, and public transportation risk assessment. Recent deep learning a...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Qianqian Zhou, Nan Chen, Siwei Lin
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2022-09-01
Schriftenreihe:	Sensors
Schlagworte:	traffic flow prediction spatiotemporal neural networks spatiotemporal aggregation filter spatial attention matrix factorization based resample
Online-Zugang:	https://www.mdpi.com/1424-8220/22/18/6921
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