TrajGenAgent: A Hierarchical LLM Agent for Human Mobility Trajectory Generation
Researchers have developed TrajGenAgent, a new framework designed to generate realistic human mobility trajectories using a hierarchical LLM agent approach. This method avoids costly fine-tuning by employing a two-stage process: an LLM creates an activity chain, and a deterministic workflow grounds these activities into complete visits with spatiotemporal details. The framework also introduces a novel evaluation method using anomaly detection to assess behavioral and semantic plausibility, demonstrating improved realism over existing neural and LLM-based methods. AI