Travel Time Estimation on TTE-A&O
Root mean square error (RMSE) 낮을수록 좋음
- 2022-07-12 — TransTTE: Root mean square error (RMSE) 168.421
- 2023-06-07 — GCT-TTE: Root mean square error (RMSE) 147.89
| Rank | Model | Root mean square error (RMSE) | mean absolute error | Paper | Code | Year |
|---|---|---|---|---|---|---|
| 1 | GCT-TTE | 147.89 | 92.26 | GCT-TTE: Graph Convolutional Transformer for Travel Time Estimation | eighonet/gct-tte | 2023 |
| 2 | TransTTE | 168.421 | 83.616 | Logistics, Graphs, and Transformers: Towards improving Travel Time Estimation | vloods/transtte_demo | 2022 |
| 3 | DeepTTE | 174.56 | 111.03 | GCT-TTE: Graph Convolutional Transformer for Travel Time Estimation | eighonet/gct-tte | 2023 |
| 4 | WDR | 190.09 | 97.22 | GCT-TTE: Graph Convolutional Transformer for Travel Time Estimation | eighonet/gct-tte | 2023 |
| 5 | DeepI2T | 201.33 | 97.99 | GCT-TTE: Graph Convolutional Transformer for Travel Time Estimation | eighonet/gct-tte | 2023 |
| 6 | DeepIST | 241.29 | 153.88 | GCT-TTE: Graph Convolutional Transformer for Travel Time Estimation | eighonet/gct-tte | 2023 |