Mobility of the Future
Different modalities that will be intelligent and autonomous, will in the future be simply linked to each other to enable individual, efficient and environmentally friendly mobility.
Urban Mobility of the Future
Intelligent vehicles are good
intelligent infrastructure, they are better
Intelligence and autonomy
Mobility solutions will behave similarly to humans and be so intelligent that they can move autonomously. Necessary for these characteristics is distributed intelligence between vehicle and environment
Digital test fields
In order to incrementally develop and test the capabilities of future mobility, test fields are needed with an infrastructure that allows to capture the environment and to communicate with mobility carriers and people.
Benefits for the economy
Vehicle manufacturers, suppliers, developers of mobility applications and innovative start-ups are encouraged to test, integrate and provide their solutions in real operation and to implement the platform economy for the mobility of the future.
Benefits for citizens
Traffic guidance and information services make it possible to improve urban mobility and contribute to climate protection and road safety.
The DigiNet-PS approach is based on distributed intelligence in which the car, the infrastructure (EDGE and Cloud) interact very intelligently with each other and enabling the car to move autonomously, efficiently, safely and reliably.
Digitales Testfeld in einer Metropole für autonomes Fahren, nicht im Silicon Valley, sondern in Berlin
Andreas ScheuerBundesminister für Verkehr und digitale Infrastruktur
Autonomous and human-aware driving behaviour improves integrated mobility services
Driving related risk and threat analysis, along with real-time communication, helps to prevent urban traffic accidents
A precise interplay of various information is required for a smooth traffic flow towards avoiding unnecessary stops at the traffic lights or in a traffic jam.
We bring together a wide range of data sources to understand the complex causes of poor air quality
In the future, vehicles like cars, trucks, buses, motorcycles will be more intelligent and possess human-like capabilities (fully autonomous, i.e. SAE Level 5) so that the interaction with them will be natural, safe and environmentally-friendly. By digitizing the road infrastructure, an environment suitable for such a distributed intelligence will be created, which will then take the roads to the next evolutionary level. This will support people in fulfilling their future wishes and tasks, create an environment worth living in and at the same time increase economic benefits. The DIGINET-PS test field meets these demanding requirements by providing a test track for automated and networked driving in urban areas
By digitizing the road infrastructure, the requirements for a distributed intelligence will be met, which will then take the roads to the next evolutionary level. For this purpose, three independent systems with autonomous decision-making are linked to each other.
Automated and connected vehicles can drive without a human driver and thus move independently in a traffic. A foundation for this is created by the DIGINET-PS platform.
Time-critical and location-based data are processed using Edge-Computing in the vehicle to everything (V2X) infrastructure. Metadata and big data analysis are sent to the data center and to the Cloud, which ensures fast and secure decision-making anytime.
The flexible architecture of the cloud covers a wide range of requirements. Whether it is the amount of memory or a needed capacity for computing power, everything can be configured and adapted according to requirements.
Learn how we use machine learning to provide decentralized decision-making using relevant data and solve related problems with evolutionary algorithms.
Together into the Future
Benefit from the combination of our strengths and competencies. The test track offers countless opportunities for a wide variety of research projects in research, development, and business.
Using the Test Track
We provide partners with data for testing solutions for automated and connected driving.
Our team is equipped for all tasks.