Frauscher Sensor Technology has completed the divestiture to Wabtec Corporation.

Find Out More

FAdC® at Vhodnaya Station | Kazakhstan
Train DetectionKazakhstan

FAdC® at Vhodnaya Station

Operator
ArcelorMittal Temirtau
Country
Kazakhstan
Partner
Kazcenterelectroprovod (KCEP)
Segment
Industrial & Mining
Application
Track Vacancy Detection
Products
FAdC®, RSR180
Year
2017
Download

ArcelorMittal is responsible for the operation of a dedicated industrial railway infrastructure located in Temirtau, Kazakhstan. At Vhodnaya station, an essential shunting yard, various goods and materials, such as polyester, zinc, aluminium, sinter, iron ore, and coke-chemical products, are loaded and unloaded. The station's robust infrastructure features 64 switching points and 68 signals, necessitating the use of a high-performing train detection system to ensure the safe and efficient management of traffic flow.

The Vhodnaya station is a shunting yard that deals with various goods and materials, but the existing track circuit-based system for traffic management was not reliable enough due to extreme weather conditions and industrial dust contamination. To maintain uptime under such circumstances, the operator opted for a modern axle counter system, the Frauscher Advanced Counter FAdC®. The new system includes 120 Frauscher Wheel Sensors RSR180 that proved to be reliable and cost-effective. By installing the new system, lifecycle and maintenance costs were significantly reduced, downtime due to train detection failures was reduced, and operational efficiency increased.

Lower maintenance costs

By installing the axle counter, lifecycle and maintenance costs have been reduced dramatically.

Greater efficiency

Efficiency in terms of traffic management and the use of freight cars has increased.

Increase in system availability

Increase in uptime due to no train detection failures, leading to greater availability.

Similar Projects
This might also interest you
1/5
Train DetectionUnited States of America

Charlotte Area Transit System (CATS) Supplementing Audio Frequency Track Circuits with Axle Counters

At the Charlotte Area Transit System, frequent false red signal overruns resulted when electromagnetic interference caused “bobbing” of the line’s audio frequency track circuits. The Frauscher Advanced Counter FAdC® was subsequently considered as an alternative to these track circuits to eliminate the occurrence of false red signal overruns.
Learn More
Train DetectionUnited States of America

Tracking Trains in Houston

Houston MetroRail (METRO for short) is comprised of three light-rail lines covering 22 miles. Two-car, low-floor trainsets are powered by overhead catenary and operated on a mix of rail types, including embedded, grooved, concrete, and ballasted track. Harsh weather conditions such as extreme heat, humidity, and storms with heavy rains causing floods are typical for Houston. Combined with the variable track structure this caused significant malfunctions of the wheel sensors of METRO’s signalling system.
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 DetectionChina

Beijing Metro Line 12

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.
Learn More
Train DetectionCanada

Edmonton Metro Line

The Edmonton Metro Line was experiencing significant issues with its newly installed Communications Based Train Control (CBTC) signalling system, which did not perform to the operator‘s expectations. The city was forced to run an incomplete schedule with reduced train speed and frequency which negatively affected commuters and the city of Edmonton in general. Finally in 2019, the operator decided to install a new system in cooperation with Frauscher.
Learn More