Future Smart Cities As Cyber-Physical Systems: Economic Challenges and Opportunities

Taherianfard, Elahe and Heydari, Mohammad Hossein and Niknam, Taher and Baziar, Aliasghar and Askari, Mohammadreza (2024): Future Smart Cities As Cyber-Physical Systems: Economic Challenges and Opportunities.

Abstract

This study explores the integration of Variational Autoencoders (VAEs) and Genetic Programming (GP) to address key challenges in the development of smart cities as cyber-physical systems (CPS). The primary objective is to enhance decision-making processes, optimize resource allocation, and improve energy management within urban infrastructures. VAEs are employed for dimensionality reduction and feature extraction, enabling efficient processing of large-scale urban data, while GP is utilized for optimization, ensuring the effective configuration and management of smart city systems. The proposed framework is evaluated across various metrics, including energy consumption, system resilience, and traffic flow optimization. The results demonstrate substantial improvements over traditional methods, highlighting the potential of the VAEs + GP combination in tackling complex CPS challenges. This approach not only contributes to the advancement of smart city technologies but also offers a scalable and adaptive solution to the evolving demands of urban environments. Overall, the study showcases the transformative potential of combining deep learning and evolutionary algorithms to build sustainable and intelligent smart cities.

• Item Type: MPRA Paper
• Language: English
• Keywords: Smart Cities, Cyber-Physical Systems (CPS), Variational Autoencoders (VAEs), Genetic Programming (GP), Resource Allocation, Energy Management, Dimensionality Reduction, Optimization Algorithms, Urban Data Processing, Intelligent Systems
• Subjects: Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q0 - General; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q41 - Demand and Supply ; Prices; R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R0 - General

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