Open access
Aug 2026
An enhanced dynamic spatiotemporal residual network with multi-scale gridding for network-scale traffic speed prediction
An enhanced Dynamic Spatiotemporal Residual Network (DST-ResNet) framework for network-scale traffic speed prediction is proposed, which employs a multi-scale grid partitioning strategy to segment urban road networks at varying levels of granularity, enabling precise predictions at both local and global scales.
Jia-Lin Liu, Zhi-Yi Zhang, Zhi-Ran Xu et al.
· Scientific Reports · 0 citations