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Cost-efficient and reliable trains, including high-capacity trains and high-speed trains

IP Coordinator: Javier Goikoetxea - CAF


Total Project Value:
€ 3 991 632,50
from 01/10/2018 to 30/04/2021
S2R (Of H2020) co-funding:
€ 3 991 632,50
Aitor Arriola
Complementary projects:
Previous Project:
Project website:


Safe4RAIL-2 will deliver next-generation network devices (i.e. ETBNs, CSs and EDs) that integrate the Drive-by-Data concept based on Time Sensitive Network (TSN) technology, introducing deterministic communications at backbone and consist levels of the wired train network. Special attention is paid to the interoperability among the three different equipment manufacturers in the consortium.

In Safe4RAIL-2 an HVAC subsystem (i.e. a non-safety function) will be integrated on top of the FDF implementations of two demonstrators; for this purpose, Safe4RAIL-2 will provide expertise on AUTOSAR (AUTomotive Open System ARchitecture), as a reference middleware for application development and integration, as well as previous understanding of the FDF architecture. In Safe4RAIL-2, the HVAC functionality will be further integrated in the SF for remote Hardware-In-the-Loop tests.

Safe4RAIL-2 will develop and validate LTE devices suitable for WireLess Train Backbone (WLTB) communications, using OAI-based LTE Equipment, supporting UE-to-UE direct communication and fully compliant with 3GPP ProSe LTE Rel. 14 V2X/D2D.

Mosaic5G will provide control and data plane programmability and model-driven network service orchestration for the future Wireless TCMS studies in Safe4RAIL-2.

Results and Publications

D1.1 Drive-by-Data Requirements Specification


D2.1 Requirements of LTE Equipment and ETBNs for wireless TCMS


* D2.2 LTE-Equipment-PU-interim-M15


D2.3 LTE Equipment under Challenging Wireless Scenarios


D3.1 Report on requirements for integration of HVAC


D4.1 Internal and external IT communication infrastructure and project website


D5.1 Project quality plan


* Please note that this/these deliverable(s) is/are undergoing S2R JU review and acceptance processes.

All deliverables, results and publications herewith provided reflects only the author's view and the S2R JU is not responsible for any use that may be made of the information it contains.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No: 826073