AI-Driven Network Optimization Improving Connectivity and User Experience Through Intelligent Design for Blue-Green Infrastructure Projects

Abstract

As urban environments evolve, the need for efficient and resilient infrastructure becomes paramount. This paper explores the role of AI-driven network optimization in enhancing connectivity and user experience within blue-green infrastructure projects. By leveraging intelligent design principles, the study investigates how AI algorithms can optimize water management, urban mobility, and environmental sustainability in urban planning. The integration of AI technologies facilitates real-time monitoring, predictive analytics, and adaptive resource allocation, resulting in improved operational efficiency and reduced maintenance costs. This research highlights case studies demonstrating successful applications of AI in optimizing infrastructure performance and user satisfaction, ultimately contributing to smarter and more sustainable cities.