The original concepts we develop in transport, urbanism and sustainability.
The sustainable transport concept covers solutions that are environmentally sound, put energy efficiency first and aim at fully integrated public transport. Reducing fossil fuel consumption in this way keeps the carbon footprint to a minimum.
Cycle routes, pedestrian-priority areas and the wider use of electric public transport vehicles are the foundations of this concept. Intelligent traffic management systems then ensure that the resulting flows are managed efficiently.
Our aim is to help plan cities that work for both people and the environment.
The smart city concept sets out to improve quality of life in urban areas through information and communication technology. It offers data-based solutions for reducing congestion, optimising energy use and managing resources better.
Live traffic data, intelligent signal systems and sensor-based monitoring make city management markedly more effective, delivering economic and environmental benefits alike.
Smart cities represent a modern vision of urban life in which technology and nature work together.
The green infrastructure concept makes natural ecosystems an integral part of city life. Parks, green roofs, rainwater management systems and ecological corridors are its building blocks.
The approach helps protect biodiversity in cities, reduces the urban heat island effect and improves air quality. It also brings residents into closer contact with nature.
Over the long term, green infrastructure is indispensable to sustainable urban life.
The autonomous mobility concept uses artificial intelligence, sensors and advanced communications to allow vehicles to operate without human intervention, keeping collisions and human error to a minimum.
Autonomous systems processing live traffic data identify the shortest and safest routes, saving fuel and reducing carbon emissions — an environmental and an economic gain.
In the cities of the future, autonomous mobility will transform everything from public transport to logistics.
Data-driven urbanism is an approach in which decisions about running a city are taken on the basis of big data, sensor networks and analysis supported by artificial intelligence. Resources are used more efficiently and problems are picked up at an early stage.
Data such as traffic volumes, air quality and energy consumption are monitored continuously and optimised in real time. The approach helps make cities more liveable, safer and more sustainable.
Integrated with intelligent infrastructure, data-driven urbanism will raise the quality of city life considerably in the years ahead.