Twinverse.ai is a virtual mirror of our lively metropolis constantly updated in near real-time from data collected from geographic information sensors, satellites, computer vision, drones, and other sources.
Simulations enable city planners to test future measures in a virtual environment and thus shape mobility sustainably and manage it efficiently.
Today, an ever-growing number of new mobility solutions is enriching the range of transport services in our cities. The entire urban mobility ecosystem is getting increasingly complex. The Twinverse is a powerful tools for planners and authorities to shape urban mobility sustainably and to manage it efficiently.
Planners and decision-makers can look into this unknown future and define appropriate measures at an early stage.
Beyond modelling and planning, digital twins of cities can also be used in traffic management. By combining traffic models with real-time traffic data, traffic operators get a strong tool to predict, optimize and control traffic and transport.
Managing large event spaces, such as football stadiums and performance halls, comes with several challenges: ensuring security, responding to dynamic circumstances, controlling the influx of people, and providing the audience a comfortable and entertaining experience.
Minimizing operational costs and maximizing resource efficiencies are important objectives for building management. Digital twins—integrated with IoT sensors and Computer Vision enable data-driven decision-making, as they collect real-time data.
A huge concern in large event spaces is to ensure safety and be prepared for possible disasters. An event venue’s digital twin helps with disaster response. It can model entry and exit points, the massive number of people who are going to add to an emergency situation, and numerous other constraints and stress factors.
Digital twins for operations management adds a whole new layer to data-driven facilities management. In the same way digital twins bridge the gap between the physical workplace and the digital one, they also bridge the gap between facilities and operations. With this key piece of the puzzle, companies can relentlessly pursue efficiency improvements, one data point or trend at a time.
Digital twins represent an abundance of data, made accessible. As buildings grow smarter and more technologies generate digital insights about the physical workplace, facility managers have more opportunities to understand it. The more they understand it, the better they can govern it. The effects compound into everything from better workplace efficiency, to improved productivity, to cost control, and even improved company culture. At the center of it all is the digital twin, guiding data-backed decision-making as a source of truth.
The Disaster City Twinverse.ai enables increasing the visibility of network dynamics among heterogeneous relief actors, tasks, information, infrastructure and resources in disasters to better understand and enhance the efficiency of response and emergency management.
By making use of Twinverse.ai, utilities can ensure they're ready for whatever tomorrow brings.
With an effective data management framework in place, data from all of these dispersed sources can be integrated into one model, allowing for real-time collaboration among multidisciplinary teams of virtually any size. For massive utilities, that presents major opportunities for cost savings and efficiency boosts.
In construction, the twinverse.ai is an exact digital replica of a construction project or asset: A building or group of buildings, a bridge, a highway, a city block, or even an entire city. Digital twins in construction can also be called data twins, virtual models or even next-generation as-built drawings.
The Twinverse.ai is kept in sync with their corresponding physical asset through BIM and 3D modeling software, scanning and point cloud data, surveying data, and any number of IoT sensors and devices that send information back to the twin in real-time.
The Twinverse.ai makes it easy to visualize complex relationships between physical things, including product placement, physical customer journeys and the paths robots might take down store aisles for inventory and floor cleaning.
Managers and staff can explore how layouts, schedules, team movements and customer journeys interact in one visualization tool. They can also visually assess the impact of a new store layout, schedule or technology might impact cleaning, restocking and staffing requirements.
Building a twinverse.ai of road infrastructure has the potential to greatly assist asset management operations as well as enable new construction projects to be more efficient than ever before and even enable more sophisticated traffic modelling, saving time and money and lowering emissions across entire road networks.
The Twinverse.ai include powerful tools that provide road infrastructure owners with a better understanding of their systems and enable them to anticipate problems before they occur. They have the potential to revolutionize the way we manage our infrastructure, providing benefits to society, the economy, business, and the environment.
Twinverse.ai will allow cities and property owners to test out changes before they enact them in the real world.
Information from 500 different sources, such as traffic cameras, 911 data, radar detectors and weather stations, feeds into twinverse.ai. Traffic congestion experiments done within this virtual realm have shown an improvement of up to 30% in traffic flow, resulting in greater energy efficiency.
