Feb. 13, 2024, 5:42 a.m. | Tonglong Wei Youfang Lin Shengnan Guo Yan Lin Yiheng Huang Chenyang Xiang Yuqing Bai Menglu Ya

cs.LG updates on arXiv.org arxiv.org

Trajectory data is essential for various applications as it records the movement of vehicles. However, publicly available trajectory datasets remain limited in scale due to privacy concerns, which hinders the development of trajectory data mining and trajectory-based applications. To address this issue, some methods for generating synthetic trajectories have been proposed to expand the scale of the dataset. However, all existing methods generate trajectories in the geographical coordinate system, which poses two limitations for their utilization in practical applications: 1) …

applications concerns cs.lg data data mining datasets development diff diffusion diffusion model issue mining network privacy records scale synthetic trajectory vehicles

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