[2402.01749] Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models

Computer Science > Computers and Society arXiv:2402.01749 (cs) [Submitted on 30 Jan 2024 (v1), last revised 22 Mar 2026 (this version, v3)] Title:Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models Authors:Weijia Zhang, Jindong Han, Zhao Xu, Hang Ni, Tengfei Lyu, Hao Liu, Hui Xiong View a PDF of the paper titled Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models, by Weijia Zhang and 6 other authors View PDF HTML (experimental) Abstract:The integration of machine learning techniques has become a cornerstone in the development of intelligent urban services, significantly contributing to the enhancement of urban efficiency, sustainability, and overall livability. Recent advancements in foundational models, such as ChatGPT, have introduced a paradigm shift within the fields of machine learning and artificial intelligence. These models, with their exceptional capacity for contextual comprehension, problem-solving, and task adaptability, present a transformative opportunity to reshape the future of smart cities and drive progress toward Urban General Intelligence (UGI). Despite increasing attention to Urban Foundation Models (UFMs), this rapidly evolving field faces critical challenges, including the lack of clear definitions, systematic reviews, and universalizable solutions. To address these issues, this paper first introduces the definition and concept of UFMs and highlights the distinctive challenges involved i...