Tokyo
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Traffic Forecasting | Tokyo JARTIC 2021 (test) | MAE5.77 | 44 | |
| Trajectory Generation | Tokyo Abnormal Trajectory, Normal Data 2021 (Generated) 2019 (Data) | SD0.013 | 15 | |
| Trajectory Generation | Tokyo Abnormal Trajectory, Abnormal Data 2020 | SD0.008 | 15 | |
| Trajectory Generation | Tokyo Normal Trajectory Normal Data 2019 | SD0.008 | 15 | |
| Human mobility prediction | Tokyo (test) | Acc@120.5 | 11 | |
| DUCPP Replanning | Tokyo Small Map 50 random instances | Avg Computation Time (s)0.015 | 9 | |
| Classification | tokyo1 | Improvement in Balanced Accuracy0.004 | 8 | |
| Data Synthesis | tokyo 1 | MMD0.046 | 8 | |
| Agent Trajectory Anomaly Detection | Tokyo Dense2Sparse | AUC0.78 | 6 | |
| Temporal Trajectory Anomaly Detection | Tokyo Dense2Sparse | AUC20 | 6 | |
| Agent Trajectory Anomaly Detection | Tokyo Dense | AUC98 | 4 | |
| Temporal Trajectory Anomaly Detection | Tokyo Dense | AUC84 | 4 | |
| Urban morphology generation | Tokyo OOD (test) | FID68.01 | 1 |
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