Research

Together with our partners from science and research, we work on various national and international research projects.

STREAM - Secured traffic data for reliable and efficient automated mobility

Project duration: 01.01.2024 – 31.12.2025

Buzzwords such as intelligent transport systems (ITS), connected and cooperative transport systems (C-ITS) and cooperative connected automated mobility (CCAM) are on everyone's lips as part of the digitalisation of transport and the mobility transition. Connected driving is one of the "enablers" for automated mobility. One as yet unresolved problem arising from this is that C-ITS and CCAM will not be possible without secure and trustworthy communication, data and information. Only trustworthy information can be classified as safe by road users and used to actively influence behaviour or the automated driving function.
The overall aim of the STREAM project is to establish a complete technology chain for the creation and transmission of trustworthy information from the infrastructure (intelligent intersection and route) to networked road users. The areas covered by this project are detection, cyber security, pilots in urban and rural environments and productive operation procedures. The overarching international goal is to harmonise the infrastructure for trustworthy and reliable data and communication in Germany and the Czech Republic. Communication is secured via a so-called public key infrastructure (PKI) and the messages are transmitted via

 


Synchronized automated driving in urban areas (SYNCAR)

Project duration: 15.09.2016 – 14.09.2019

It is foreseeable that highly automated driving will already be visible in real road traffic in the near future. However, the application of highly automated driving in complex inner-city traffic situations is still a major challenge: Today's research and development focuses on safety, driving comfort and energy consumption from the perspective of a single vehicle. In SYNCAR this perspective is extended by developing novel solutions for anticipatory automated driving in coordination with other road users and traffic light systems. This will also lead to a new form of traffic process optimization by providing specific driving recommendations (maneuver recommendations) for specific vehicle groups or individual vehicles. In order to achieve this, new methods for processing environmental information from vehicle sensors, for handling communication processes between the vehicle and its surroundings, for operation and visualisation in the vehicle and for information provision on the infrastructure side must be developed. The methods and functions in the vehicle and in the trackside infrastructure that are developed within the framework of this project are to be implemented as prototypes and demonstrated in test drives partly on non-public test fields and partly in real road traffic.


Unfortunately external resources are not available without cookies. Allow cookies
';