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ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model
April 25, 2024, 7:41 p.m. | Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang
cs.LG updates on arXiv.org arxiv.org
Abstract: Generating trajectory data is among promising solutions to addressing privacy concerns, collection costs, and proprietary restrictions usually associated with human mobility analyses. However, existing trajectory generation methods are still in their infancy due to the inherent diversity and unpredictability of human activities, grappling with issues such as fidelity, flexibility, and generalizability. To overcome these obstacles, we propose ControlTraj, a Controllable Trajectory generation framework with the topology-constrained diffusion model. Distinct from prior approaches, ControlTraj utilizes a …
abstract arxiv collection concerns costs cs.ai cs.lg data diffusion diffusion model diversity however human mobility privacy proprietary restrictions solutions topology trajectory type
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