Example Trajectories
![Trajectory Image 1](./imgs/cd_multi_trips.gif)
Different origin-destination
![Trajectory Image 2](./imgs/cd_od_trips.gif)
Same origin-destination
![Trajectory Image 3](./imgs/xa_multi_trips.gif)
Different origin-destination
![Trajectory Image 4](./imgs/xa_od_trips.gif)
Same origin-destination
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) |