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

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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Bibliographic Details
Main Authors: Qianqian Zhou, Nan Chen, Siwei Lin
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
traffic flow prediction
spatiotemporal neural networks
spatiotemporal aggregation
filter spatial attention
matrix factorization based resample
Online Access:https://www.mdpi.com/1424-8220/22/18/6921

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https://www.mdpi.com/1424-8220/22/18/6921

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