Optimal Reality is creating smarter cities and enabling the future of mobility.
We’re currently focused on using the Optimal Reality Digital Twin to solve the complex challenges that are facing the future of mobility, energy and smart cities.
We’re looking to help clients plan and respond faster, safer and more efficiently to ultimately create better experiences for their customers.
Explore what problems we’re looking at today.
Cities are experiencing growing populations that are putting strains on infrastructure. Congestion and delay are ever increasing challenges for both private and public transport management. Existing simulation tools are typically focused on strategic planning and cannot support operational decisions to reduce short term disruption. With digital twins, real-time incident response can be simulated to determine the knock-on effects and understand how to quickly get the network back to normal.
Energy is facing a number of major challenges: changing climates, growing demand and new forms of power generation and storage. Forecasting the available power supply is further complicated by micro-grids and green forms of energy that are dependent on difficult to predict factors such as weather.
High cost fixed infrastructure networks need to look years and decades ahead to plan for future challenges. By simulating the impact of new government policies, and demonstrating how a network will behave with new infrastructure or how technology could evolve, investments can be analysed with an increasing level of detail.
Transport, energy, and other networks work within multiple constraining factors. Being able to forecast how the network responds with increased demand is key to understanding how networks will evolve in to the future, where the key risks exist, and where investments need to be made.
Decarbonisation of the transportation and energy sectors will be critical for helping to address climate change. Progress is being made through the deployment of rooftop solar, large scale renewable energy power stations, electric vehicles and electrification of many forms of transport. Simulation technology enables better strategic planning but also improved operational capabilities when factors such as weather impact these connected systems.
Flying taxis, drones and self-driving cars are no longer science fiction. Simulating the introductions of these new technologies can help strategists and modellers look at future scenarios when the modes of transport for passengers and freight are vastly different. This includes understanding where investments should be made in infrastructure to enable new modes of transport, improve congestion and understand environmental impacts related to noise and carbon emissions. Using the digital twin operationally, it enables improved logistics through coordinated use of new transport options.
Governments need to be able to plan for complex events that can occur as the result of weather, disease, natural disasters or environmental issues. Being able to simulate different scenarios and plan for events is critical - as is the operational capability to act within a connected system. Operational application of a smarter cities enables capabilities such as changing traffic to improve air quality and reduce emissions, prioritisation of emergency services through congested traffic and better marshalling of resources through improved coordinated planning and logistics.