GenAI在智慧城市中的机遇与应用：一项以用户为中心的综述
Opportunities and Applications of GenAI in Smart Cities: A User-Centric Survey
AI总结：
本文从市民、运营者和规划者三类用户视角，综述基于对话接口的GenAI模型与技术及其在城市子系统和城市数据基础上的应用。
摘要：
城市中物联网（IoT）的普及与数字孪生相结合，为旨在改善城市生活和运营的智慧城市创造了丰富的数据基础。生成式人工智能（Generative AI，GenAI）显著增强了这一潜力，它超越了传统的人工智能分析与预测，能够处理多模态内容并生成文本和模拟等新颖输出。通过使用专用模型或基础模型，GenAI的自然语言能力（如自然语言理解（NLU）和自然语言生成（NLG））可以驱动定制化应用和统一接口，大幅降低用户与复杂智慧城市系统交互的门槛。在本文中，我们聚焦于智慧城市中三类关键用户原型——市民、运营者和规划者——情境下基于对话接口的GenAI应用。我们识别并综述了在这些用户原型情境下，针对各类城市子系统所提出或部署的GenAI模型与技术。我们还探讨了如何基于官方城市记录、IoT数据流和城市数字孪生的现有数据基础来构建GenAI。我们认为，本项工作首次从智慧城市中关键用户的视角，对面向智慧城市的GenAI技术进行了全面总结。
英文摘要：
The proliferation of IoT in cities, combined with Digital Twins, creates a rich data foundation for Smart Cities aimed at improving urban life and operations. Generative AI (GenAI) significantly enhances this potential, moving beyond traditional AI analytics and predictions by processing multimodal content and generating novel outputs like text and simulations. Using specialized or foundational models, GenAI's natural language abilities such as Natural Language Understanding (NLU) and Natural Language Generation (NLG) can power tailored applications and unified interfaces, dramatically lowering barriers for users interacting with complex smart city systems. In this paper, we focus on GenAI applications based on conversational interfaces within the context of three critical user archetypes in a Smart City - Citizens, Operators and Planners. We identify and review GenAI models and techniques that have been proposed or deployed for various urban subsystems in the contexts of these user archetypes. We also consider how GenAI can be built on the existing data foundation of official city records, IoT data streams and Urban Digital Twins. We believe this work represents the first comprehensive summarization of GenAI techniques for Smart Cities from the lens of the critical users in a Smart City.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
