Project proves: Networked vehicle applications need fast computer access

March 27, 2019 //By Christoph Hammerschmidt
Project proves: Networked vehicle applications need fast computer access
Multi-Access Edge Computing (MEC) is a key technology to enable secure networked driving. This is the most important result of the Car2MEC project after two years of intensive testing and field trials by Continental, Deutsche Telekom, Fraunhofer ESK, MHP and Nokia on the A9 “Digital Autobahn” test field.

The aim of the project was to gain insights into the suitability of MEC for connectd driving, with particular emphasis on technology, network architecture and cost-effectiveness. On the A9 (The Autobahn between Munich and Nuremberg), the project partners tested various specific applications such as an emergency warning, traffic jam warning, an assistant for variable speed limits and high-definition road maps.

"Multi-Access Edge Computing will be a very important communication technology for the networked vehicle in the future," sums up Ronald Hain, Head of Backend Development at Continental. "Closing the gap between local real-time applications and cloud services will enable us to improve automated driving and make vehicles work together. In addition, local services can effectively leverage the data rate of LTE or 5G networks."

Deutsche Telekom set up a project-specific infrastructure with two spatially separated MEC resources in the test area on the A9. The test environment also used the existing LTE network and was operated for 12 months to enable extensive test drives. This provided a unique opportunity to analyze the MEC technology under real conditions: on a public road and in a commercial mobile network with many parallel users.

"The project results confirm the performance of edge computing in 4G networks and the suitability of this technology for automotive applications requiring low latency and extremely high reliability," explains Alexander Lautz, Senior Vice President 5G at Deutsche Telekom. He announced that he would continue working with partners in the automotive sector to further develop the technology and translate it into solutions for networked and automated driving.

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