Revolutionizing Smart City Infrastructure for Sustainable Urban Development
Abstract
This paper explores the revolutionary impact of AI-driven engineering on smart city infrastructure for sustainable urban development. Through case studies and research insights, it investigates how artificial intelligence is transforming traditional approaches to urban planning, transportation, energy, and public services. The study highlights the application of AI techniques such as data analytics, predictive modeling, and decision support systems in optimizing resource allocation, enhancing efficiency, and improving quality of life in cities. Additionally, it discusses the integration of AI with Internet of Things (IoT) devices, sensor networks, and digital twins to enable real-time monitoring, analysis, and optimization of urban systems. The paper also addresses challenges such as data privacy, cybersecurity, and equity in the deployment of AI-driven engineering solutions in smart cities. It emphasizes the importance of citizen engagement, stakeholder collaboration, and policy innovation to harness AI's potential in building resilient, inclusive, and sustainable cities for the future.
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