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May 7, 2026Open Access

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

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Authors

APAayush Pandey

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Overview

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

Key Points

  • 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.

Cite This Study

Aayush Pandey (2026) studied this question.

synapsesocial.com/papers/69fbefc0164b5133a91a3d1fhttps://doi.org/10.5281/zenodo.20034308
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1AI-Powered Smart City Issue Detection and Management Systems: A Comprehensive Analytical Review2026
  2. 2AI In Smart Cites Urban Planning, Traffic Management and Public Safety2026
  3. 3Artificial Intelligence in Smart Cities A Systematic Review of Applications Technologies and Deployment Patterns2025
  4. 4Artificial Intelligence in Smart Cities: Accelerating Urban Sustainability through Intelligent Systems2025 · 18 citations
  5. 5AI Powered Smart Urban Infrastructure2026