With the advent of a sensored, connected city, the possibility of analyzing the process, information, and resources of an entire city, via a digital twin, is becoming a reality, though in the very early-stages of use.
Goals and Objectives
To understand the city operations at a systemic level for improvements in operations, processes, resource use, policy development, and urban planning.
3D modeling and design, sensors, video, analytics, GPS, collaboration platforms, open data platforms, simulation software, and cloud computing
Use Case Summary
In Smart Cities, a Digital twin refers to a digital model, or version, of the physical assets and resources in a city. Digital twins represent a 3D model of city systems from infrastructure like buildings and transportation to the movement of people, things, and resources (e.g., water) using sensors installed on physical objects. Digital twins offer a view into the existing situations and also help to make predictions about how city systems will respond to changes and events.