5G technology is revolutionizing the development of smart cities by providing high-speed, low-latency connectivity, enabling seamless integration of Internet-of-Things (IoT) devices and infrastructure. This transformative technology underpins innovations such as autonomous vehicles, smart grids, and intelligent public services while enhancing critical domains like energy distribution, public safety, and traffic management. The proposed approach in this study emphasizes optimizing 5G networks in smart cities through two key techniques: network slicing and context-aware dynamic resource allocation. By leveraging these methods, the system prioritizes high-demand services and ensures the most reliable connections during peak times or emergencies. This dynamic adaptability is achieved via real-time monitoring of traffic flow, user density, and service demands, allowing the network to reallocate bandwidth efficiently to critical applications. The methodology involves creating dedicated “slices” of network resources tailored to specific service priorities, such as public safety or traffic control, ensuring that essential services remain uninterrupted. Inspired by the urban road network model, the system dynamically adjusts resource distribution to enhance network sustainability, efficiency, and adaptability. This approach ensures a resilient and scalable infrastructure that can support the evolving demands of smart city environments. By incorporating advanced 5G capabilities, the proposed strategy aims to improve operational efficiency, reduce service latency, and maintain a balanced allocation of resources across diverse urban services, ultimately enabling smarter and more adaptive urban ecosystems.