STDA-Meta: A Meta-Learning Framework for Few-Shot Traffic Prediction

no code implementations • 31 Oct 2023 • Maoxiang Sun, Weilong Ding, Tianpu Zhang, Zijian Liu, Mengda Xing

As the development of cities, traffic congestion becomes an increasingly pressing issue, and traffic prediction is a classic method to relieve that issue.

Domain Adaptation Few-Shot Learning +3

Attention-based Dynamic Graph Convolutional Recurrent Neural Network for Traffic Flow Prediction in Highway Transportation

no code implementations • 13 Sep 2023 • Tianpu Zhang, Weilong Ding, Mengda Xing

As one of the important tools for spatial feature extraction, graph convolution has been applied in a wide range of fields such as traffic flow prediction.