| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Traffic Prediction | Chengdu | MAE (10 min)1.2089 | 42 | |
| Origin-Destination Demand Prediction | Chengdu (test) | MAE0.8892 | 14 | |
| Multi-step Origin-Destination Flow Prediction | Chengdu (test) | H10.8875 | 14 | |
| Path Ranking | Chengdu | Kendall's τ0.7619 | 13 | |
| Similar Trajectory Retrieval | Chengdu (test) | HR@194.02 | 13 | |
| Road Label Prediction | Chengdu (test) | Macro F1 Score85.74 | 13 | |
| Travel Time Estimation | Chengdu | MAE1.3681 | 13 | |
| Destination Prediction | Chengdu | Top-1 Accuracy42.96 | 13 | |
| Trajectory Generation | Chengdu | Density0.1365 | 11 | |
| CO2 Emission Prediction | Chengdu (CD) | MAE98.43 | 8 | |
| Population Prediction | Chengdu | MAE546.82 | 8 | |
| GDP Prediction | Chengdu (CD) | Mean Absolute Error (MAE)133.94 | 8 | |
| Next GPS Prediction | Chengdu | MAE217.7 | 8 | |
| Trajectory recovery | Chengdu | MSE0.159 | 6 | |
| Trajectory Generation | Chengdu (test) | Hausdorff Distance0.1102 | 4 | |
| Traffic Forecasting | Chengdu outflow | MSE4.72 | 4 | |
| Traffic Forecasting | Chengdu inflow | MSE4.5 | 4 |