Towards a foundational platform for generative agents in simulated city environment
Modelling the scaling properties of human mobility
Predicting encounter and colocation events
Predicting Encounters in Opportunistic Networks
Anonymised human location data in England for urban mobility research
Human Mobility Prediction based on Individual and Collective Geographical Preferences
Mobility-LLM: Learning Visiting Intentions and Travel Preferences from Human Mobility Data with Large Language Models
Heterogeneous Mobile Phone Ownership and Usage Patterns in Kenya
Multiscale dynamic human mobility flow dataset in the U.S. during the COVID-19 epidemic
CMAB: A Multi-Attribute Building Dataset of China
A Large-Scale Residential Load Dataset in a Southern Province of China
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models