Mobility Model

Mobility modeling aims to understand and predict human movement patterns, crucial for applications ranging from urban planning to network optimization. Current research emphasizes developing more realistic models by incorporating semantic information about activities, leveraging large language models and diffusion models to generate synthetic trajectories, and utilizing graph-based approaches to capture spatial and temporal dependencies. These advancements improve the accuracy and adaptability of mobility models across diverse geographical contexts and contribute to more effective resource allocation and policy design in various sectors.