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This work analyzes AI integration into smart city management systems and identifies key challenges.

May 7, 2026Open Access

AI-Powered Smart City Issue Detection and Management Systems: A Comprehensive Analytical Review

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Comprehensive review finds AI improves traffic and waste management in smart cities, highlighting integration challenges.

This work analyzes AI integration into smart city management systems and identifies key challenges.
Conducted an analytical review of AI applications in urban governance.
Examined smart city architectures including perception, network, and application layers.
Evaluated algorithms for performance metrics and real-world deployment.
Found that AI technologies enhance classification and detection of urban issues.
Highlighted challenges like algorithmic bias and privacy concerns in AI systems.
Proposed a framework for better integration of AI into smart city structures.

Aayush Pandey (2026) studied this question.

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May 7, 2026Open Access

View Full Paper

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Authors

Comprehensive review finds AI improves traffic and waste management in smart cities, highlighting integration challenges.

This work analyzes AI integration into smart city management systems and identifies key challenges.
Conducted an analytical review of AI applications in urban governance.
Examined smart city architectures including perception, network, and application layers.
Evaluated algorithms for performance metrics and real-world deployment.
Found that AI technologies enhance classification and detection of urban issues.
Highlighted challenges like algorithmic bias and privacy concerns in AI systems.
Proposed a framework for better integration of AI into smart city structures.

Aayush Pandey (2026) studied this question.

View Full Paper

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