المجلة الدولية للعلوم والتقنية

Smart cities aim to efficiently manage increasing urban expansion and energy consumption, while maintaining a green environment and improving citizens' quality of life. Information and communication technology (ICT) plays a fundamental role in policy design, decision-making, implementation, and the delivery of productive services in these cities. This research aims to explore the role of Artificial Intelligence (AI), Machine Learning (ML), and Deep Reinforcement Learning (DRL) in the development of smart cities. These technologies are used to enhance intelligent transportation systems (ITS), strengthen cybersecurity, improve efficiency in smart grids (SGs) and renewable energy, as well as optimize communication services using Unmanned Aerial Vehicles (UAVs) and 5G technologies. A case study is also discussed in the Libyan context, where the role of these technologies in improving intelligent transportation systems and reducing congestion in Tripoli was analyzed. Finally, we present future research challenges that could contribute to realizing a smart city in Libya through the development of smart infrastructure that supports economic and environmental sustainability........................ Keywords: ...........Smart city, Artificial Intelligence, Machine Learning, Unmanned Aerial Vehicles, Intelligent Transportation Systems, Smart Grids, Cybersecurity.