TrajDiff combines semantic alignment attention, DDBM-based pretraining, and listwise ranking losses to achieve state-of-the-art approximate trajectory similarity on Porto, Geolife, and T-Drive.
Spatial and temporal characterization of travel patterns in a traffic network using vehicle trajectories,
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TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation
TrajDiff combines semantic alignment attention, DDBM-based pretraining, and listwise ranking losses to achieve state-of-the-art approximate trajectory similarity on Porto, Geolife, and T-Drive.