Multi-View Spatio-Temporal Dynamic Graph Convolution Network for Traffic Flow Prediction

• Published in: IEEE internet of things journal p. 1
• Main Authors: Zhong, Lihong, Wang, Bin, Tian, Zhao, Rodrigues, Tiago Koketsu, Liu, Wei, She, Wei
• Format: Journal Article
• Language: English
• Published: IEEE 2025
• Subjects: Adaptation models; Convolution; Correlation; Feature extraction; graph neural network; Graph neural networks; Intelligent transportation system; multi-view learning; Predictive models; Roads; spatio-temporal dependence; traffic flow prediction; Transportation; Vehicle dynamics

Accurate traffic flow prediction is crucial for alleviating traffic congestion and optimizing intelligent transportation systems. However, traffic flow is subject to uncertainties and exhibits complex spatial and temporal dependence and dynamic change characteristics. Moreover, many efforts rely on...