3 papers
physics.soc-ph2026
Bidirectional yet asymmetric causality between urban systems and traffic dynamics in 30 cities worldwide
Yatao Zhang, Ye Hong, Song Gao +1
Understanding how urban systems and traffic dynamics co-evolve is crucial for advancing sustainable and resilient cities. However, their bidirectional causal relationships remain u…
physics.soc-ph2026
Deep Generative Model for Human Mobility Behavior
Ye Hong, Yatao Zhang, Konrad Schindler +1
Understanding and modeling human mobility is central to challenges in transport planning, sustainable urban design, and public health. Despite decades of effort, simulating individ…
cs.LG2024
Context-aware knowledge graph framework for traffic speed forecasting using graph neural network
Yatao Zhang, Yi Wang, Song Gao +1
Human mobility is intricately influenced by urban contexts spatially and temporally, constituting essential domain knowledge in understanding traffic systems. While existing traffi…