Learning Fine-Grained Urban Mobility Dynamics Through Large Model-Enhanced Multimodal Representations
Abstract
This paper studies fine-grained urban mobility dynamics using large model-enhanced multimodal urban representations.
Type
Publication
IEEE Transactions on Intelligent Transportation Systems
Jinzhou Cao(曹劲舟)
Associate Professor
My research focuses on spatiotemporal big data mining, urban computing, Geo-AI, and multimodal urban foundation models.