AI-driven Engineering Solutions: Transforming Infrastructure and Urban Development
Abstract
This paper investigates the transformative role of AI-driven engineering solutions in shaping infrastructure development and urban planning. Through case studies and research insights, it explores how artificial intelligence is revolutionizing traditional engineering practices in areas such as transportation, energy, and urban resilience. The study examines the application of AI techniques such as predictive analytics, digital twins, and smart sensors in optimizing infrastructure performance, enhancing safety, and promoting sustainability in urban environments. Additionally, it discusses the implications of AI integration for urban governance, policy-making, and public engagement. The paper emphasizes the need for interdisciplinary collaboration and stakeholder engagement to harness AI's potential in addressing complex urban challenges, including traffic congestion, environmental pollution, and climate change adaptation. It concludes by highlighting the transformative impact of AI-driven engineering solutions in creating more resilient, livable, and sustainable cities for future generations.
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