Connected car scenarios
When cars are connected to the Internet, they can be equipped with a whole host of additional functions. Measuring packet loss rates and other performance characteristics directly in the context of the application provides a way to test service quality and user experience.
Evaluating the quality of data connections between the vehicle and the network and between vehicles themselves in real road traffic conditions is a key aspect of developing use cases for automated driving. The quality indicators recorded in the automotive test bed can be used in the development of applications for remote driving or platooning (connecting trucks in a convoy).
Machine learning approaches
Exploring machine learning approaches for predicting and improving reception quality makes it possible to improve the security and reliability of vehicle communication and positioning, e.g. for early accident detection.
Testing the use of special transmission methods for temporary, high data throughput provides insight into how such “data showers” can be used for vehicle updates or other applications.
Other mobility scenarios: remote drones (example)
Remote drones can be deployed for monitoring and optimizing traffic. Testing in this field is required to determine the extent to which the mobile communications infrastructure can be improved to enable drones to fly beyond-line-of-sight (BLOS) under the safest conditions.