Conference
Open access
2025
Predicting Traffic Flow Using Attention and Spatiotemporal Graph Convolutional Networks
A prediction model that incorporates multiple attention mechanisms with spatiotemporal graph convolutional networks (HASTGCN) and designs a spatiotemporal map convolution module to collaboratively model the dynamic spatiotemporal connection of traffic flow collaboratively model is used.
Chu-xia Chen
· Proceedings of the 3rd Inter... · 0 citations