IEEE

FLSTAGCN: Traffic Flow Prediction Based on Federated Learning and Attention Graph Convolutional Network

Abstract: Traffic flow prediction assumes a pivotal role in aiding governments and companies accurately forecast changes in vehicle volume, consequently enhancing transportation efficiency and ...
IEEE

Parallel Self-Learned and Predefined Joint Spatial–Temporal Graph Convolutional Networks for Traffic Flow Prediction

Abstract: Accurate prediction of spatial–temporal traffic flow drives innovation across various pertinent application domains, including traffic management and route planning. Graph Convolutional ...