A High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis
We present SynMob, a high-fidelity synthetic GPS trajectory dataset for urban mobility analysis. SynMob is generated by a novel diffusion probabilistic model, DiffTraj, which can generate trajectories with high fidelity and diversity. We help this Synthetic GPS Trajectory Dataset can facilitate the community for urban mobility analysis.
| Dataset | GPS trajectory | Avalibility | Data quality | Privacy | # Trajectory |
|---|---|---|---|---|---|
| GeoLife | ✓ | ✓ | ✗ | ✗ | 17,621 |
| T-drive | ✓ | ✓ | ✗ | ✗ | 10,357 |
| Porto | ✓ | ✓ | ✗ | ✗ | 1.7 million |
| Foursquare | ✗ | ✓ | -- | ✗ | 104,478 |
| NYC | ✗ | ✓ | -- | ✗ | 1.1 billion |
| Taxi-Shanghai | ✓ | ✗ | ✗ | ✗ | 1.2 million |
| GAIA | ✓ | ✗ | ✓ | ✗ | 3.1 million |
| Ours (Synthetic) | ✓ | ✓ | ✓ | ✓ | unrestricted (customize) |