构建智能城市多模态感知平台，提升城市管理与市民互动效率
MACeIP: A Multimodal Ambient Context-enriched Intelligence Platform in Smart Cities
- 融合物联网、边缘计算与多模态AI，实现城市环境实时感知
- 在弗雷德里克顿等城市部署原型，支持市民交互与公共资产智能管理
- 适合智慧城市研究者与城市管理者参考，具可扩展性
本文提出一种面向智慧城市的多模态环境上下文增强智能平台（MACeIP），旨在提升城市治理与市民参与度。该平台整合物联网（IoT）传感器、边缘与云计算、多模态人工智能技术，构建响应式智能城市生态系统。核心组件包括市民交互终端、广泛覆盖的物联网传感网络、智能公共资产管理、行人监测系统、城市规划门户及云计算系统。我们在加拿大新布伦瑞克省弗雷德里克顿等城市部署了平台原型，验证其可行性。本工作推动城市智能化发展，提供一种可扩展、高效且以用户为中心的城市智能管理方案。
原文摘要 · Abstract (English)
This paper presents a Multimodal Ambient Context-enriched Intelligence Platform (MACeIP) for Smart Cities, a comprehensive system designed to enhance urban management and citizen engagement. Our platform integrates advanced technologies, including Internet of Things (IoT) sensors, edge and cloud computing, and Multimodal AI, to create a responsive and intelligent urban ecosystem. Key components include Interactive Hubs for citizen interaction, an extensive IoT sensor network, intelligent public asset management, a pedestrian monitoring system, a City Planning Portal, and a Cloud Computing System. We demonstrate the prototype of MACeIP in several cities, focusing on Fredericton, New Brunswick. This work contributes to innovative city development by offering a scalable, efficient, and user-centric approach to urban intelligence and management.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。