DPSTCN: Dynamic Pattern-Aware Spatio-Temporal Convolutional Networks for Traffic Flow Forecasting

DPSTCN: Dynamic Pattern-Aware Spatio-Temporal Convolutional Networks for Traffic Flow Forecasting

Accurate forecasting of multivariate traffic flow poses formidable challenges, primarily due to the ever-evolving spatio-temporal dynamics and intricate spatial heterogeneity, where the heterogeneity signifies that the correlations among locations are not just related to distance. However, few of th...

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Bibliographic Details
Main Authors:	Zeping Dou, Danhuai Guo
Format:	Article
Language:	English
Published:	MDPI AG 2024-12-01
Series:	ISPRS International Journal of Geo-Information
Subjects:	traffic forecasting intelligent transportation system spatio-temporal data mining convolutional network attention mechanism
Online Access:	https://www.mdpi.com/2220-9964/14/1/10
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