Smart City Gnosys

Smart city article details

Title	Prisma On Machine Learning Techniques In Smart City Development
ID_Doc	43060
Authors	Ionescu Ș.-A.; Jula N.M.; Hurduzeu G.; Păuceanu A.M.; Sima A.-G.
Year	2024
Published	Applied Sciences (Switzerland), 14, 16
DOI	http://dx.doi.org/10.3390/app14167378
Abstract	This article investigates the innovative role of machine learning (ML) in the development of smart cities, emphasizing the critical interrelationship between ML and urban environments. While existing studies address ML and urban settings separately, this work uniquely examines their intersection, highlighting the transformative potential of ML in urban development. Utilizing the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology, a systematic and reproducible approach was employed to review 42 relevant studies. The analysis reveals four key themes: transportation and traffic optimization, people and event flow tracking, sustainability applications, and security use cases. These findings underscore ML’s ability to revolutionize smart city initiatives by enhancing efficiency, sustainability, and security. This review identifies significant research gaps and proposes future directions, positioning ML as a cornerstone in the evolution of intelligent urban environments. © 2024 by the authors.
Author Keywords	machine learning; optimization and control techniques; PRISMA; smart cities; smart energy; sustainable development; technological changes

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