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Hybrid Intelligent Control Framework for Sustainable Smart Cities

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This framework integrates AI techniques to optimize sustainability metrics in urban environments, suggesting effective governance.

This hybrid intelligent control framework significantly improves sustainability in smart cities compared to traditional methods.
Key metrics show that energy efficiency and traffic flow optimization are enhanced by integrating AI technologies.
The approach involves a simulated case study illustrating the framework's advantages across multiple urban sectors.
The findings support the need for advanced control systems to address complex urban challenges, ensuring efficient governance.

Subrahmanyam et al. (2025) studied this question.

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View Full Paper

Ask AI

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Authors

This framework integrates AI techniques to optimize sustainability metrics in urban environments, suggesting effective governance.

This hybrid intelligent control framework significantly improves sustainability in smart cities compared to traditional methods.
Key metrics show that energy efficiency and traffic flow optimization are enhanced by integrating AI technologies.
The approach involves a simulated case study illustrating the framework's advantages across multiple urban sectors.
The findings support the need for advanced control systems to address complex urban challenges, ensuring efficient governance.

Subrahmanyam et al. (2025) studied this question.

View Full Paper

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