Trajectory Generation on Tokyo Normal Trajectory Normal Data 2019
0.008SDDeepMove
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| DeepMove2024.02 | 0.008 | 0.153 | 0.534 | 0.623 | |
| LSTM2024.02 | 0.017 | 0.271 | 0.585 | 0.652 | |
| MM2024.02 | 0.018 | 0.276 | 0.644 | 0.681 | |
| ActSTD2024.02 | 0.034 | 0.436 | 0.693 | 0.692 | |
| LLMob-LRetrieval scheme=learning-based, Pattern module=enabled, Motivation module=enabled, Self-consistency=enabled2024.02 | 0.049 | 0.054 | 0.136 | 0.57 | |
| DiffTraj2024.02 | 0.052 | 0.251 | 0.318 | 0.692 | |
| LLMob-ERetrieval scheme=evolving-based, Pattern module=enabled, Motivation module=enabled, Self-consistency=enabled2024.02 | 0.053 | 0.046 | 0.125 | 0.559 | |
| LLMob-E w/o PRetrieval scheme=evolving-based, Pattern module=disabled, Motivation module=enabled, Self-consistency=enabled2024.02 | 0.055 | 0.069 | 0.223 | 0.53 | |
| LLMob-L w/o SCRetrieval scheme=learning-based, Pattern module=enabled, Motivation module=enabled, Self-consistency=disabled2024.02 | 0.057 | 0.074 | 0.236 | 0.602 | |
| LLMob-E w/o SCRetrieval scheme=evolving-based, Pattern module=enabled, Motivation module=enabled, Self-consistency=disabled2024.02 | 0.058 | 0.076 | 0.295 | 0.589 | |
| LLMob w/o MPattern module=enabled, Motivation module=disabled2024.02 | 0.059 | 0.078 | 0.264 | 0.59 | |
| LLMob-L w/o PRetrieval scheme=learning-based, Pattern module=disabled, Motivation module=enabled, Self-consistency=enabled2024.02 | 0.061 | 0.08 | 0.27 | 0.6 | |
| LLMob w/o P & MPattern module=disabled, Motivation module=disabled2024.02 | 0.061 | 0.081 | 0.268 | 0.606 | |
| TrajGAIL2024.02 | 0.128 | 0.058 | 0.598 | 0.489 | |
| STAN2024.02 | 0.152 | 0.4 | 0.692 | 0.692 |