Markovian Reeb Graphs turn Reeb graphs into generative models for simulating individual and population-level spatiotemporal human mobility patterns by embedding Markovian probabilistic transitions.
ReeFRAME: Reeb Graph based Trajectory Analysis Framework to Capture Top-Down and Bottom-Up Patterns of Life
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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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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.