MOVINGRAIL Deliverable 2.1 - Moving Block Signalling System Test Strategy

Deliverable 2.1 (D2.1): “Approaches for Testing Moving Block Signalling” reports the results from the first half of Work Package 2 which is concerned with the testing aspects necessary for the implementation of moving block signalling. The work package’s objective is to define improved strategies and methods for testing moving block signalling systems, including trade-offs between laboratory and on-site testing. The first part of the work has been concerned with collecting information on the state-of-the-art in testing and generating requirements and insight from stakeholders, and transforming these into a high level operational concept for testing.

D21 Figure 17 The capability systems engineering process

The work presented in D2.1 is divided into three parts. The first is a summary of key stakeholder functional requirements, drawing from engagement with experts during a workshop; the second contains a literature review of testing methods for relevant safety critical systems – which for the purposes of MOVINGRAIL are moving block signalling systems and precursors, specifically, ETCS systems, and positive control systems in complementary industries e.g. automotive and aerospace. The final part draws upon the knowledge acquired from the previous parts to develop an operational concept and a system strategy for testing moving block systems.

The remainder of Work Package 2 will build upon D2.1 to define an extensible architecture, interface definitions and automated testing routines for moving block signalling systems.

The deliverable is pending approval from the Shift2Rail Joint Undertaking (JU).

About MOVINGRAIL

The project will bring forward innovative concepts of “moving-block” railway traffic operations by (1) advancing testing methods for ETCS Level 3 and (2) Analysing Virtual Coupling which will lead to convoys of automated trains under cooperative adaptive control.

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 826347.