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Simplifying 5G Network Integration for Connected and Automated Vehicle Services

transportTestedTRL 5

Imagine if your car and the cellular network spoke different languages, requiring a manual translator for every single feature. This project builds a universal adapter that lets vehicle services tell the network exactly what they need in real-time. It turns a complex manual setup into a semi-automated system, making the connection as seamless as plugging in a USB drive.

By the numbers
3
large scale B5G trial sites
6
innovative CAM services specified
9
open call projects for validation
27
consortium partners
The business problem

What needed solving

Configuring 5G networks for specific vehicle services is currently a slow, manual process requiring tight coordination between operators and vendors. This delay prevents the rapid deployment of advanced connected and automated mobility services.

The solution

What was built

A modular architecture and a set of APIs for edge computing, device location, and predictive QoS. It also includes an Experimentation-as-a-Service module.

Audience

Who needs this

Automotive OEMs5G Network OperatorsAutonomous Driving Software ProvidersSmart City Infrastructure Managers
Business applications

Who can put this to work

Automotive
enterprise
Target: Connected Vehicle Manufacturer

If you are a vehicle manufacturer dealing with slow, manual network configurations for safety features — this project developed APIs and a modular architecture that allow vehicles to dynamically request network changes. This reduces the time-consuming coordination between vendors and operators.

Telecommunications
enterprise
Target: 5G Network Operator

If you are a network operator dealing with the difficulty of supporting specific vertical requirements for transport — this project developed an abstraction layer that exposes network capabilities to external services. This allows for a more open and transparent way to monetize B5G capabilities.

Logistics
mid-size
Target: Autonomous Fleet Operator

If you are a fleet operator dealing with inconsistent connectivity during vehicle movement — this project developed MEC with service continuity and predictive QoS. This ensures that critical automation services remain stable as vehicles move across different network zones.

Frequently asked

Quick answers

What is the cost or pricing model for implementing this architecture?

Based on available project data, no specific pricing or cost structures are mentioned; the project is funded via a HORIZON-JU-IA scheme.

Is this technology ready for industrial scale?

The project is implementing 3 large-scale B5G trial sites in Italy, Netherlands, and Greece to validate the architecture in real open systems.

How is the IP and licensing handled for the developed APIs?

Based on available project data, specific licensing terms are not provided, but the project aims to provide an open and transparent architecture for 3rd parties via open calls.

How does this integrate with existing 5G systems?

It uses an intermediate abstraction layer of APIs that translate complicated 5GS interfaces into easy-to-consume services for the vertical domain.

What is the timeline for the validation phase?

The project period runs from 2024-01-01 to 2026-12-31.

Consortium

Who built it

The consortium is heavily industry-driven with 16 industrial partners (59% ratio), including 8 SMEs, which suggests a strong focus on commercial viability. The collaboration spans 11 European countries, combining the academic rigor of 3 universities and 6 research centers with practical industrial application.

How to reach the team

Contact EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON in Greece

Next steps

Talk to the team behind this work.

Contact us to explore how to integrate these B5G APIs into your automotive connectivity roadmap.

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