This chapter delineates the technical framework of an AI-driven city and its pivotal components, with a particular emphasis on data perception and database management, intelligent feedback mechanisms, decision-making technologies, and their application scenarios. It provides an in-depth examination of the establishment of CiMA (Urban Intelligent Mapping Alliance) and the evolution of its database
... [Show full abstract] architecture, which facilitates large-scale urban data storage and processing nationwide, thereby fostering the collaborative construction and sharing of foundational digital city data. Regarding intelligent feedback and decision-making technologies, the AI city achieves precise configuration of urban functional facilities through multi-agent simulations and collective intelligence algorithms, achieving spatial accuracy within 5 m × 5 m × 3 m, surpassing traditional urban simulation systems. Moreover, cloud-based decision chains and intelligent configuration decision technologies emulate biological neural transmission mechanisms to enhance the city’s responsiveness and governance capabilities. Additionally, the chapter explores the specific implementation of AI in various application scenarios, such as the urban happiness index, carbon–neutral intelligent design, and the integration of virtual reality and real-world construction, promoting the development of cities toward smarter and greener futures.