Presents an end-to-end system using LLM agents to add behavioral anomalies to simulated trajectories, then applies map routing and noise to generate realistic annotated anomaly datasets for mobility research.
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2026 1verdicts
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Mobility Anomaly Generation using LLM-Driven Behavior with Kinematic Constraints
Presents an end-to-end system using LLM agents to add behavioral anomalies to simulated trajectories, then applies map routing and noise to generate realistic annotated anomaly datasets for mobility research.