Frauscher Sensor Technology has completed the divestiture to Wabtec Corporation.

Find Out More
Beijing Metro Line 12 | China
Train DetectionChina

Beijing Metro Line 12

Operator
Beijing Metro
Country
China
Segment
Urban
Application
Track Vacancy Detection
Products
RSR180, FAdC®
Protocols
Proprietary protocols
Year
2024
Scope of project
Approx. 263 counting heads
Download

The Beijing Metro Line 12 is the first metro line that combines Frauscher Advanced Counter FAdC® and Railway Signal Safety Protocol Type I (RSSP-I). The line (from Sijiqingqiao Station to Dongbabei Station) was placed into full operation on 15 December 2024.

Beijing Metro Line 12 is a metro project in northern Beijing. It is 27.5 km long with 20 stations, located in one of the busiest commuting areas, connecting four major urban districts. It is the first metro line that uses the Frauscher Advanced Counter FAdC® with software interface as a CBTC fallback system in Beijing.

Furthermore, following the combination of the Frauscher Communication board (COM) and the Railway Signal Safety Protocol (RSSP) that has been implemented successfully in Huangpu Tram T1 of Guangzhou and the Fenghuang Maglev Line in Hunan Province, Line 12 is also the first metro line that uses this proven technology.

The RSSP is mentioned in the standard specification for the Chinese railway industry, which has been commonly applied for data transmission in the CBTC system. Frauscher’s technical team has developed the communication board that supports the RSSP protocol (COM-RSSP) and successfully obtained the CENELEC SIL 4 Certification two years ago.

Software interface

Frauscher Advanced Counter FAdC® is able to communicate with higher-level systems via the Ethernet interface using customised protocols. The protocols RSSP and FSFB have been used in China.

Installation friendly

The tail cable of Wheel Sensor RSR180 and Frauscher Rail Claw SK150 are specially designed for easy installation without track drilling.

Similar Projects
This might also interest you
1/5
Data TransmissionIndia

South Central Railway

The Vijayawada Division of Indian Railways introduced a new train detection system with data transmission functionality to overcome the challenges of the existing BPAC and conventional quad cable-based systems. Frauscher implemented the Frauscher Advanced Counter FAdC®, featuring full redundancy, advanced reset mechanisms and remote diagnostics. This upgrade delivers significant cost savings and enhanced system availability for the operator.
Learn More
Train DetectionUnited Kingdom of Great Britain and Northern Ireland

Churnet Valley Heritage Railway

The Churnet Valley Heritage Railway preserves England's rich heritage of steam-powered rail transport.
Learn More
Train DetectionFrance

Axle counting adds fail-safe control to laser diagnostics

When MERMEC set out to install a laser-based Wheel Profile Measurement System in close proximity to the Eurotunnel, they faced a critical challenge: how to avoid unintended laser exposure without compromising the system’s ability to inspect up to 200 trains per day. To meet these requirements, MERMEC partnered with Frauscher.
Learn More
Train DetectionPoland

Metro Warsaw

Metro Warsaw was looking for an alternative to track circuits for the line M2, to increase the availability of public transport by using reliable signalling technology. In the end, the operator even decided to replace the existing track circuits on line M1 with the Frauscher Axle Counter ACS200.
Learn More
Train DetectionCanada

Toronto Transit Commission

The Toronto Transit Commission (TTC) Line 1 Yonge-University is Toronto’s longest subway line, with track circuits utilized for signalling. Due to an increasing number of daily passengers and an aged system the need for upgrading without interfering with the daily operations became readily apparent. It was further required that the new signalling system functions independently of the existing system. It would provide CBTC fallback functionalities, and work as an overlay to the current track circuit-based system.
Learn More