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Fuzzy Control: Recent Progress toward the Identification of Widespread Application Areas for Smart City Projects
This special issue belongs to the section “Computing and Artificial Intelligence“.
Special Issue Information
Dear Colleagues,
Urban mobility is crucial for the ecosystems of complex smart cities, and identifying factors that aid the development of smart cities is essential. The concept of a smart city is proposed to handle these difficulties and promote sustainable growth as cities attempt to deal with several urban challenges, such as traffic congestion and environmental pollution. Smart city initiatives frequently lack a decision-making framework to define priorities for development and manage the inherent uncertainty surrounding difficulties encountered in application areas. The selection of cities for smart city transformation and business models for creating smart cities are often viewed as challenges associated with fuzzy sets in smart cities. Information and data obtained via a smart city sensor network are used to manage assets, resources and services, which in turn, improve operations across the city. Reducing emergency services response times in smart cities through automated and e-mobility services is vital for achieving the long-term sustainable goals of smart cities. To assess and address numerous issues such as these, a variety of fuzzy decision-making strategies can be applied. This Special Issue focuses on recent advances in fuzzy control for widespread applications of smart cities projects, and includes but is not limited to the following topics.
Dr. Arshad Jamal
Dr. Meshal Almoshaogeh
Dr. Irfan Ullah
Guest Editors
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Keywords
- smart cities
- smart mobility
- fuzzy control applications for ITS
- fuzzy logic for drivers’ behavioral assessment and safety
- automated and electric mobility services
- fuzzy decision-making strategies for widespread smart city projects
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