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Sustainable 5G deployment model for future mobility in the Mediterranean Cross-Border Corridor

Project description

5G services that seamlessly cross borders together with connected cars and trains

The EU is gearing up to integrate European road and rail transport with 5G technologies that will function seamlessly across borders, enabling connected and automated mobility (CAM). The EU-funded 5GMED project is addressing this goal along the Mediterranean core network corridor, specifically the cross-border connection between Barcelona, Spain and Perpignan, France. Scientists plan to test new technologies to deliver both cooperative connected and automated mobility (CCAM) and future railway mobile communication system (FRMCS) services. The CCAM demonstration will include remote and autonomous driving enabled by extensive sensor deployment along the roads for AI-powered traffic management. FRMCS services will include real-time analysis of high-speed trains via camera data as well as high-speed internet service to passengers. Both will integrate media services for passengers to ensure the seamless migration of functionality across borders.

Objective

5GMed brings together key stakeholders of the “Barcelona – Perpignan” cross-border section of the Mediterranean corridor including MNOs, road and rail operators and neutral hosts, complemented with innovative SMEs developing AI functions, and selected R&D centers with a proven track record in 5G research and innovation. Given the proximity of the E15 highway and the high-speed rail track in the considered cross-border section, the 5GMed consortium will demonstrate how a multi-stakeholder 5G infrastructure featuring a variety of technologies, including Rel.16 5GNR at 3.5 GHz, Rel.16 NR-V2X at 5.9 GHz, unlicensed mm-wave, network slicing and service orchestration, can be used to jointly deliver CCAM and FRMCS services. The considered CCAM use cases include Remote Driving in cross-border open roads to enable safe fallback operation in Level 4 autonomous driving, and the massive sensorization of road infrastructures enabling AI-powered traffic management algorithms in the presence of legacy vehicles. The considered FRMCS use cases include performance services where AI-functions running on the infrastructure side analyze camera feeds from high speed trains in real-time, and business services providing high-speed internet to passengers and in-train neutral hosting capabilities to MNOs. A Follow Me Infotainment use case will demonstrate live migration of media functions across cross-border scenarios both in automotive and railways environments.
The technical activities of 5GMed are complemented by a carefully designed impact maximization strategy including: i) demonstrations in key industrial events, ii) concrete measures to influence standardization and policy makers, iii) cost-benefit analysis of the 5GMed deployment models, and iv) joint exploitation and business modes.
5GMed ambitions to become the lighthouse project for CCAM and FRMCS deployment in cross-border scenarios that can be replicated across Europe and trigger further investments through the CEF2 program.

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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IA - Innovation action

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Call for proposal

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(opens in new window) H2020-ICT-2018-20

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Coordinator

RETEVISION I SA
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 954 840,54
Address
CALLE JUAN ESPLANDIU 11-13
28007 Madrid
Spain

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Region
Comunidad de Madrid Comunidad de Madrid Madrid
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 657 807,91

Participants (29)

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