AINeutralarXiv – CS AI · 6h ago6/10
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Mobility Anomaly Generation using LLM-Driven Behavior with Kinematic Constraints
Researchers have developed an LLM-driven framework to generate synthetic human trajectory anomalies with kinematic constraints, addressing the critical shortage of ground-truth anomaly datasets in spatial data mining. The system combines large language models with map-constrained routing and context-aware noise modeling to create realistic, annotated mobility anomalies at scale while respecting physical constraints.