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Alstom Obtains Certification of Latest ETCS Standard

Initially created to enable a standardized European cross-border rail traffic, the use of ETCS is set to safely increase speed, reliability, and capacity.

by METRO Staff
June 26, 2020
Alstom Obtains Certification of Latest ETCS Standard

Coradia Nordic X60B in Northern Sweden.

Credit:

Alstom

2 min to read


Alstom received full certification of the latest interoperability standard for rail, ETCS Baseline 3 Release 2. Ahead of the large-scale rollout of the solution in Norway, Alstom has also been certified by Belgorail to implement its world-first data fusion algorithms using both satellite navigation and inertial movement to measure the location and speed of trains accurately and safely.

Initially created to enable a standardized European cross-border rail traffic, the use of ETCS is set to safely increase speed, reliability, and capacity. ETCS includes continuous radio-based automatic train protection, thus optimizing higher-speed operation and supporting network interoperability, while reducing maintenance costs for the operator. The latest standard includes higher radio capacity and other evolutions to better address railways needs.

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The new odometry system based on data fusion, which Alstom is currently implementing in Norway, is applicable to all types of trains and all environments, including the harshest weather conditions. By 2026, 450 trains will be equipped with the new standard and in commercial service across Norway. Tests for the first locomotive equipped with the new solution will begin in June this year.

Alstom’s data fusion innovation obviates the need for the external radar components for localization and speed measurement that are used today. Data fusion is the process of aggregating multiple data sources to produce more consistent, accurate, and useful information than that provided by any individual data source. In this case being built as a hybrid, with both inertial and satellite sensors for the first time, its equipment is installed within the train, and thus remains unaffected by weather conditions. The algorithms used manage to maintain precision in covered areas such as tunnels.

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