A four-stage simulation framework uses month-conditioned GPS spatial priors and LLM-based activity chain generation to produce demographically aligned synthetic tourist mobility schedules validated against Tokyo survey and staypoint data.
Trajllm: A modular llm-enhanced agent-based framework for realistic human trajectory simulation,
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GPS-Enhanced Tourist Mobility Modeling with Seasonal Spatial Priors and LLM-Based Activity Chain Generation
A four-stage simulation framework uses month-conditioned GPS spatial priors and LLM-based activity chain generation to produce demographically aligned synthetic tourist mobility schedules validated against Tokyo survey and staypoint data.