A POI-zone and Pareto-calibrated framework infers trip purposes from GPS data and cuts distributional JSD from survey benchmarks by 23-48% on 81 million Los Angeles staypoints.
Difftraj: Generating gps trajectory with diffusion probabilistic model,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Generative models for trajectory data do not inherently preserve privacy, as membership inference attacks can identify training data points in representative models.
citing papers explorer
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Uncertainty-Aware Trip Purpose Inference from GPS Trajectories via POI Semantic Zones and Pareto Calibration
A POI-zone and Pareto-calibrated framework infers trip purposes from GPS data and cuts distributional JSD from survey benchmarks by 23-48% on 81 million Los Angeles staypoints.
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Privacy Evaluation of Generative Models for Trajectory Generation
Generative models for trajectory data do not inherently preserve privacy, as membership inference attacks can identify training data points in representative models.