EGFormer: An Enhanced Transformer Model with Efficient Attention Mechanism for Traffic Flow Forecasting

Due to the regular influence of human activities, traffic flow data usually exhibit significant periodicity, which provides a foundation for further research on traffic flow data. However, the temporal dependencies in traffic flow data are often obscured by entangled temporal regularities, making it...

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Bibliographic Details
Published in:	Vehicles
Main Authors:	Zhihui Yang, Qingyong Zhang, Wanfeng Chang, Peng Xiao, Minglong Li
Format:	Article
Language:	English
Published:	MDPI AG 2024-01-01
Subjects:	traffic flow forecasting Transformer Multi-Head Efficient Self-Attention mechanism Generative Decoding mechanism
Online Access:	https://www.mdpi.com/2624-8921/6/1/5

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