Destination Prediction on Beijing
80.4Top-5 AccuracyReal
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| RealData Source=Real Trajectories, Predictor=DeepMove2025.01 | 80.4 | — | — | 72.8 | |
| DeepMoveData source=real2025.01 | 80.4 | — | — | 72.8 | |
| LSTPMData source=real2025.01 | 79.5 | — | — | 71.3 | |
| FlashbackData source=real2025.01 | 78.2 | — | — | 70.6 | |
| HOSERPredictor=DeepMove2025.01 | 77.6 | — | — | 69.7 | |
| DeepMoveData source=generated2025.01 | 77.6 | — | — | 69.7 | |
| LSTPMData source=generated2025.01 | 76.1 | — | — | 69.4 | |
| FlashbackData source=generated2025.01 | 74.9 | — | — | 67.6 | |
| DijkstraPredictor=DeepMove2025.01 | 74.6 | — | — | 65.9 | |
| MarkovPredictor=DeepMove2025.01 | 74.5 | — | — | 65.7 | |
| TS-TrajGenPredictor=DeepMove2025.01 | 74.3 | — | — | 65.4 | |
| STEGAPredictor=DeepMove2025.01 | 73.6 | — | — | 64.2 | |
| SeqGANPredictor=DeepMove2025.01 | 71.3 | — | — | 63.7 | |
| MoveSimPredictor=DeepMove2025.01 | 66.2 | — | — | 60.9 | |
| CORE2025.10 | 26.47 | 10.76 | 34.99 | — | |
| Path-LLM2025.10 | 22.94 | 9.25 | 30.72 | — | |
| GREEN2025.10 | 22.85 | 9.13 | 30.62 | — | |
| TrajMamba2025.10 | 22.56 | 8.71 | 30.09 | — | |
| TrajGenPredictor=DeepMove2025.01 | 22.4 | — | — | 20.1 | |
| TRACK2025.10 | 21.98 | 8.73 | 29.39 | — | |
| TrajCogn2025.10 | 21.84 | 8.61 | 29.1 | — | |
| JGRM2025.10 | 21.8 | 8.65 | 29.05 | — | |
| START2025.10 | 21.53 | 8.56 | 28.76 | — | |
| HRNR2025.10 | 20.19 | 7.89 | 26.13 | — | |
| JCLRNT2025.10 | 18.79 | 7.82 | 25.38 | — | |
| DyToast2025.10 | 18.46 | 7.72 | 24.15 | — | |
| Toast2025.10 | 18.09 | 6.94 | 23.74 | — | |
| PIM2025.10 | 16.14 | 6.29 | 21 | — |