Digital Twin-Enabled Solution for Smart City Applications

A digital twin represents a virtual counterpart of a physical entity or process, capable of acquiring real-world data to mirror, validate, and emulate the current and future behavior of its physical counterpart. It holds significance in data-driven decision-making, intricate system monitoring, product validation, simulation, and lifecycle management across various domains, including industrial, automotive, medical, and smart cities. This systematic literature review aims to offer a comprehensive understanding of digital twin technology, exploring its implementation challenges and limitations in diverse engineering and related applications. With the increasing adoption of digital twins, particularly fueled by the growth of the Internet of Things (IoT), these virtual replicas find favor due to their affordability and user-friendly nature. The concept of smart cities exemplifies the application of digital twins, facilitating effective urban planning and land-use optimization. By enabling the modeling of plans before implementation, digital twins serve as a tool to identify and rectify flaws in designs before they manifest in reality. Architectural components such as housing, wireless network antennae, solar panels, and public transportation can benefit from digital twin techniques. This chapter includes a case study, providing additional insights into digital twin applications, making it a valuable resource for researchers in the field.