Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook

Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang

Abstract: Highlights•Comprehensive survey of deep learning techniques for data fusion in urban computing.•Innovative taxonomy framework for data sources, fusion methods, and applications.•Detailed compilation of key datasets and fusion models for urban computing.•Insightful future research outlook for urban computing.•Exploration of LLMs for potential in enhancing data fusion in urban computing.