TrajGenAgent is a hierarchical LLM-agent framework that generates human mobility trajectories via in-context activity chain synthesis followed by deterministic visit grounding, evaluated with anomaly-detection detectors for behavioral and semantic plausibility.
Mobility data science: Perspectives and challenges,
1 Pith paper cite this work, alongside 23 external citations. Polarity classification is still indexing.
1
Pith paper citing it
23
external citations · OpenAlex
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
TrajGenAgent: A Hierarchical LLM Agent for Human Mobility Trajectory Generation
TrajGenAgent is a hierarchical LLM-agent framework that generates human mobility trajectories via in-context activity chain synthesis followed by deterministic visit grounding, evaluated with anomaly-detection detectors for behavioral and semantic plausibility.