Deadline Date: 31 December 2026
Smart cities aim to enhance the quality of urban life by efficiently managing resources, infrastructure, and services through advanced technologies. With rapid urbanization, cities face complex challenges related to energy consumption, transportation, public safety, healthcare, environmental sustainability, and governance. Soft computing, machine learning, artificial intelligence, and data-driven approaches have emerged as powerful tools to address these challenges by enabling intelligent decision-making, predictive analytics, automation, and real-time monitoring. These techniques can effectively handle uncertainty, large-scale data, and complex urban systems, making them essential for the development of smart and sustainable cities.
The aim of this Special Issue is to provide a comprehensive platform for researchers and practitioners to present recent advances, innovative methodologies, and real-world applications of intelligent and data-driven technologies in smart city environments. The scope includes theoretical developments, practical implementations, and case studies that demonstrate how these approaches improve urban efficiency, sustainability, resilience, and citizen well-being. Suggested themes include, but are not limited to: smart transportation and traffic management, intelligent energy systems and smart grids, urban data analytics, IoT-enabled smart city applications, AI-based public safety and surveillance, healthcare and smart living solutions, environmental monitoring, predictive maintenance of urban infrastructure, and ethical, privacy, and security issues in smart city data analytics.
Editorial board
