AI in smart cities with cellular wireless technologies: optimizing urban infrastructure

Kulkarni, Kavita Swapnil (2025) AI in smart cities with cellular wireless technologies: optimizing urban infrastructure. International Journal of Science and Research Archive, 14 (1). pp. 747-753. ISSN 2582-8185

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Abstract

This article presents a comprehensive analysis of Artificial Intelligence (AI) integration with cellular wireless technologies in smart city environments, examining their impact on urban infrastructure optimization. Through analysis of implementations across numerous smart city initiatives in Europe and North America, the article demonstrates significant improvements in operational efficiency and resource utilization. The article reveals that edge computing implementations achieve substantial processing time reductions, while 5G networks support massive device densities per square kilometer with exceptional reliability. Traffic management systems show significant reduction in peak-hour congestion, while public safety systems achieve impressive threat detection rates. Energy management implementations demonstrate high optimization rates in distribution, and water management systems achieve excellent leak detection accuracy. The article particularly emphasizes the role of integrated AI and cellular technologies in achieving sustainable urban development, with implementations showing considerable reduction in energy consumption and decrease in carbon emissions. These findings provide valuable insights for urban planners and technology implementers, establishing benchmarks for future smart city developments.

Item Type: Article
Official URL: https://doi.org/10.30574/ijsra.2025.14.1.0114
Uncontrolled Keywords: Artificial Intelligence; Cellular Wireless Technologies; Urban Infrastructure; IoT; Machine Learning; Urban Planning
Depositing User: Editor IJSRA
Date Deposited: 13 Jul 2025 14:18
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/639