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...

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Autori principali:	Qianqian Zhou, Nan Chen, Siwei Lin
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2022-09-01
Serie:	Sensors
Soggetti:	traffic flow prediction spatiotemporal neural networks spatiotemporal aggregation filter spatial attention matrix factorization based resample
Accesso online:	https://www.mdpi.com/1424-8220/22/18/6921
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