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A Deep Generative Model for Trajectory Modeling and Utilization

Summary: Deep generative model encoding map-matched road-edge sequences, road properties, spatial correlations, and temporal periodicity to model skewed high-dimensional trajectory distributions. Meta-learning autoregressive generator trained with differential privacy to synthesize representative trajectories for downstream tasks, obviating raw-data sharing. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13347
Venue
VLDB
Year
2023
Pagerank
5.0670573e-05
Overall Rank
6,425 | 55.31%
DOI
10.14778/3574245.3574277

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