The visualisation of traffic areas enables simulations of tests for automated driving or investigations into traffic control and road safety that are as close to reality as possible. A lot of data from various sources flows into such virtual worlds and is largely processed automatically.
Our department Digitalized Road Transport is actively shaping the digital twin of the transport system – with a particular focus on road transport. The aim is to enable open and barrier-free access to all relevant data and technologies – non-discriminatory, federated and networked.
On this technological basis, we develop intelligent digital services that work across all levels of the transport system: from road users and vehicles to edge and cloud systems. This results in innovative solutions for the connected, safe and efficient road transport of the future.
Our team brings in-depth expertise in the areas of processing and combining sensor data, research data management, big & fast data analytics, pattern recognition and machine learning.
We use this expertise to better monitor, forecast and control road traffic in a targeted manner – for example to increase safety or optimise traffic flows. The result is holistic, data-driven system solutions – from recording and analysing to application.
Our focal points at a glance:
Development of architecture concepts for distributed systems with a focus on decentralised data rooms
Integration and linking of large, spatially and temporally structured data from various sources
Utilisation of this data for practical applications, for example:
Analysing and evaluating the traffic situation to improve road safety
Development and safeguarding of cooperative, automated transport
Intelligent infrastructure for expanding the operating range of automation
Procedure for the predictive maintenance of road infrastructure
Development and provision of services for optimised traffic control and coordination in transport networks
