AI RESEARCH
TrajFlow: Nation-wide Pseudo GPS Trajectory Generation with Flow Matching Models
arXiv CS.AI
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ArXi:2603.15009v1 Announce Type: cross The importance of mobile GPS trajectory data is widely recognized across many fields, yet the use of real data is often hindered by privacy concerns, limited accessibility, and high acquisition costs. As a result, generating pseudo-GPS trajectory data has become an active area of research. Recent diffusion-based approaches have achieved strong fidelity but remain limited in spatial scale (small urban areas), transportation-mode diversity, and efficiency (requiring numerous sampling steps). To address these challenges, we.