A numerical replica of real-world objects or systems.
It leverages the power of big data, Artificial Intelligence and high-performance computing (HPC) to provide cities with the ability to monitor their environment in real time, understand behavioral patterns, predict future trends, and most critically, to assess new projects’ potential.
Current urban Digital Twins (DT) focus mostly on infrastructure and 3D modeling of buildings across a city. INSIGHT SIGNALS’ distinctive approach combines two digital twins: a User DT, which reproduces at the micro level the behaviors and interactions among users, and an Infrastructure DT, modeling the urban environment, whether transportation, buildings, or energy.
Urban projects are complex & multi-faceted. When inadequately prepared, they cost cities billions of dollars in losses. ABI Research expects more than 500 urban digital twins to be deployed by 2025 and forecasts they will save city planners US$280 billion by 2030.
Insight Signals Populations Replicas provide microscopic reproduction of a citizen’s characteristics, geographical locations and behavioral patterns. Through aggregating a wealth of public, local, national, international and sector databases, Insight Signals produces in record time a realistic representation of the real population and its underlying characteristics, without the need for individual, private data.
Population digital replicas provide a wealth of meaningful insights to cities for use cases in transportation planning, urban planning, emergency management, housing, health, and environmental production. They can be used to understand how groups of people relate to other as well as Input to cities user centric simulation model.
Digital twins approaches typically fall into two categories: a bottom-up one where data is collected, structured, and aggregated into meaningful data-sets, enabling environment monitoring and prediction. On the other hand, top-down simulationmodels are built to compare the impact of alternative strategies as compared to a baseline.
Insight Signals combine both approaches. Our digital twins provide real time monitoring and simulation capabilities We can then help cities assess multiple alternative scenarios so they can make the right decisions. Leveraging our unique user-centric focus, we can provide digital twins upon multiple domains, from people mobility to food consumptions patterns, to cultural services consumption.
Measuring impact is about assessing the broader environmental and societal impact of projects, beyond their financial ROI. Impact assessment is a necessary complement to a Digital Twin as it provides cities & their partners the framework and the insights to forecast the direct and indirect impact of their strategic choices. Cities & their partners can then:
- Demonstrate the positive contribution of their actions to a sustainable world
- Exhibit a granular view of how they progress towards Net Zero objectives
- Increase stakeholders’ confidence
Population digital replicas provide a wealth of meaningful details to cities in
transportation planning, urban planning, and emergency management, housing, health, and the environment. They can be used to understand how groups of people relate to other as well as Input to cities user centric simulation model.