Trajectory Generation on Tokyo Abnormal Trajectory, Abnormal Data 2020
0.008SDDiffTraj
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| DiffTraj2024.02 | 0.008 | 0.24 | 0.339 | 0.692 | |
| DeepMove2024.02 | 0.011 | 0.173 | 0.548 | 0.668 | |
| LSTM2024.02 | 0.016 | 0.286 | 0.563 | 0.655 | |
| MM2024.02 | 0.041 | 0.3 | 0.629 | 0.682 | |
| LLMob-ERetrieval scheme=evolving-based, Pattern module=enabled, Motivation module=enabled, Self-consistency=enabled2024.02 | 0.056 | 0.043 | 0.127 | 0.615 | |
| LLMob-LRetrieval scheme=learning-based, Pattern module=enabled, Motivation module=enabled, Self-consistency=enabled2024.02 | 0.057 | 0.051 | 0.124 | 0.609 | |
| LLMob-E w/o PRetrieval scheme=evolving-based, Pattern module=disabled, Motivation module=enabled, Self-consistency=enabled2024.02 | 0.059 | 0.081 | 0.252 | 0.673 | |
| LLMob w/o MPattern module=enabled, Motivation module=disabled2024.02 | 0.066 | 0.08 | 0.274 | 0.633 | |
| LLMob-E w/o SCRetrieval scheme=evolving-based, Pattern module=enabled, Motivation module=enabled, Self-consistency=disabled2024.02 | 0.068 | 0.086 | 0.225 | 0.649 | |
| LLMob w/o P & MPattern module=disabled, Motivation module=disabled2024.02 | 0.068 | 0.086 | 0.287 | 0.635 | |
| ActSTD2024.02 | 0.071 | 0.469 | 0.692 | 0.692 | |
| LLMob-L w/o SCRetrieval scheme=learning-based, Pattern module=enabled, Motivation module=enabled, Self-consistency=disabled2024.02 | 0.071 | 0.084 | 0.236 | 0.642 | |
| LLMob-L w/o PRetrieval scheme=learning-based, Pattern module=disabled, Motivation module=enabled, Self-consistency=enabled2024.02 | 0.072 | 0.081 | 0.286 | 0.641 | |
| STAN2024.02 | 0.115 | 0.092 | 0.693 | 0.691 | |
| TrajGAIL2024.02 | 0.133 | 0.06 | 0.604 | 0.523 |