Trajectory Generation on Tokyo Abnormal Trajectory, Normal Data 2021 (Generated) 2019 (Data)
0.013SDDeepMove
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| DeepMove2024.02 | 0.013 | 0.173 | 0.534 | 0.623 | |
| ActSTD2024.02 | 0.022 | 0.093 | 0.468 | 0.692 | |
| TrajGAIL2024.02 | 0.032 | 0.058 | 0.434 | 0.428 | |
| LSTM2024.02 | 0.035 | 0.282 | 0.585 | 0.653 | |
| MM2024.02 | 0.039 | 0.307 | 0.644 | 0.681 | |
| LLMob-ERetrieval scheme=evolving-based, Pattern module=enabled, Motivation module=enabled, Self-consistency=enabled2024.02 | 0.062 | 0.056 | 0.117 | 0.536 | |
| LLMob-LRetrieval scheme=learning-based, Pattern module=enabled, Motivation module=enabled, Self-consistency=enabled2024.02 | 0.064 | 0.051 | 0.124 | 0.531 | |
| LLMob-E w/o PRetrieval scheme=evolving-based, Pattern module=disabled, Motivation module=enabled, Self-consistency=enabled2024.02 | 0.065 | 0.079 | 0.209 | 0.561 | |
| LLMob-E w/o SCRetrieval scheme=evolving-based, Pattern module=enabled, Motivation module=enabled, Self-consistency=disabled2024.02 | 0.072 | 0.096 | 0.301 | 0.589 | |
| LLMob-L w/o PRetrieval scheme=learning-based, Pattern module=disabled, Motivation module=enabled, Self-consistency=enabled2024.02 | 0.073 | 0.091 | 0.248 | 0.58 | |
| LLMob-L w/o SCRetrieval scheme=learning-based, Pattern module=enabled, Motivation module=enabled, Self-consistency=disabled2024.02 | 0.073 | 0.094 | 0.286 | 0.622 | |
| LLMob w/o MPattern module=enabled, Motivation module=disabled2024.02 | 0.074 | 0.09 | 0.255 | 0.563 | |
| LLMob w/o P & MPattern module=disabled, Motivation module=disabled2024.02 | 0.074 | 0.095 | 0.254 | 0.573 | |
| DiffTraj2024.02 | 0.101 | 0.142 | 0.218 | 0.693 | |
| STAN2024.02 | 0.142 | 0.094 | 0.692 | 0.69 |