Hierarchical Graph Pooling is an Effective Citywide Traffic Condition Prediction Model

no code implementations • 8 Sep 2022 • Shilin Pu, Liang Chu, Zhuoran Hou, Jincheng Hu, Yanjun Huang, Yuanjian Zhang

Accurate traffic conditions prediction provides a solid foundation for vehicle-environment coordination and traffic control tasks.

Node Clustering Traffic Prediction

Spatial-Temporal Feature Extraction and Evaluation Network for Citywide Traffic Condition Prediction

no code implementations • 22 Jul 2022 • Shilin Pu, Liang Chu, Zhuoran Hou, Jincheng Hu, Yanjun Huang, Yuanjian Zhang

The spatial and temporal features in traffic data are extracted by multi-graph graph convolution and attention mechanism, and different combinations of spatial and temporal features are generated.

Scheduling Traffic Prediction