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UniTE Xian Embedding
Pre-computed trajectory semantic embeddings (POI + Road) for the Xian taxi trajectory sample, from the TrajMamba / TransferTraj model encoders.
Files
small_xian_poi_embed.npy— POI (Point of Interest) semantic embeddingssmall_xian_road_embed.npy— Road network semantic embeddings
Source Data
Computed from small_xian.h5 (Xian taxi trajectory sample, ~6.9 MB).
Format
NumPy arrays (np.load) of shape (num_trajectories, embed_dim).
References
- TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model
- TransferTraj: Vehicle Trajectory Learning Model for Region and Task Transferability
- UniTE: UniTE: A Survey and Unified Pipeline for Pre-training Spatiotemporal Trajectory Embeddings
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