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VOL. 2, ISSUE 1 (2026)
Edge-AI enabled real-time decision systems for climate-resilient urban infrastructure
Authors
Viraj P Tathavadekar, Dr. Nitin R Mahankale
Abstract
Urban infrastructure faces unprecedented climate challenges requiring immediate adaptive responses to extreme weather events, flooding, and temperature variations. Real-time decision-making capabilities are essential for maintaining urban resilience, protecting populations, and minimizing economic losses from climate-related disruptions. Current climate adaptation systems suffer from delayed response times, centralized processing limitations, and insufficient integration between infrastructure monitoring and decision-making processes. Existing literature reveals inadequate exploration of edge computing applications in climate resilience contexts and limited frameworks for autonomous infrastructure adaptation. This research aims to develop and evaluate edge-AI enabled decision systems for real-time climate adaptation in urban infrastructure, examining system performance across different climate scenarios while establishing implementation frameworks for municipal authorities. The study employs mixed-methods approach combining prototype development of edge-AI systems, simulation modeling of climate scenarios, and comparative analysis of traditional versus edge-enabled response systems. Field testing occurs across multiple urban infrastructure types including transportation networks, water management systems, and energy grids. Research anticipates demonstrating significant improvements in response time, decision accuracy, and infrastructure protection through edge-AI implementation. Results will reveal optimal deployment strategies and cost-benefit relationships for different urban contexts. Findings will inform urban planning policies, guide infrastructure investment decisions, and contribute to climate adaptation theory while providing practical frameworks for implementing intelligent climate-resilient urban systems.
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Pages:20-28
How to cite this article:
Viraj P Tathavadekar, Dr. Nitin R Mahankale "Edge-AI enabled real-time decision systems for climate-resilient urban infrastructure". World Journal of Multidisciplinary Research and Development, Vol 2, Issue 1, 2026, Pages 20-28
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