Expressway-Tokyo
EXPY-TKY contains the traffic speed information and the corresponding traffic incident information in 10-minute interval for 1843 expressway road links in Tokyo over three months (2021/10∼2021/12). Compared with other benchmarks for traffic prediction, EXPY-TKY covers a larger scale and more complex incident situations. Potential tasks of EXPY-TKY include traffic prediction, incident detection, and road type classification.
Variants: EXPY-TKY
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Traffic Prediction | STD-MAE | Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal … | 2023-12-01 |
| Traffic Prediction | MegaCRN | Spatio-Temporal Meta-Graph Learning for Traffic … | 2022-11-27 |
| Traffic Prediction | PM-MemNet | Learning to Remember Patterns: Pattern … | 2021-10-20 |
| Traffic Prediction | StemGNN | Spectral Temporal Graph Neural Network … | 2021-03-13 |
| Traffic Prediction | AGCRN | Adaptive Graph Convolutional Recurrent Network … | 2020-07-06 |
| Traffic Prediction | MTGNN | Connecting the Dots: Multivariate Time … | 2020-05-24 |
| Traffic Prediction | GWNet | Graph WaveNet for Deep Spatial-Temporal … | 2019-05-31 |
| Traffic Prediction | DCRNN | Diffusion Convolutional Recurrent Neural Network: … | 2017-07-06 |
Recent papers with results on this dataset: