Systems and intelligence
Waze-Based Traffic Forecasting Using Graph Transformers
City-scale traffic prediction using STGformer (graph transformer).
Notes
Systems and intelligence
- Trained on Washington D.C. Waze data (4 years, ~20M jams)
- Engineered road network graph; sparse subgraph sampling in PyTorch
- Achieved R² ≈ 0.86