Frauscher Sensor Technology has completed the divestiture to Wabtec Corporation.

Find Out More
Jhansi - Bina Railway Line | India
Train DetectionIndia

Jhansi - Bina Railway Line

Operator
Indian Railways – North Central Railway
Country
India
Segment
Main & Regional Line
Application
Track Vacancy Detection
Products
FAdC®, RSR180
Year
2017
Scope of project
221 counting heads, 148 track sections

The Jhansi-Bina railway line is a strategically important line which belongs to North Central Railway and is in Uttar Pradesh. Initially, the line featured analogue axle counters for detecting trains in individual track sections as well as a DC track circuit train detection system in less congested areas.

Eventually, there was a requirement to get them replaced with the Frauscher Advanced Counter FAdC®. This project is one of Frauscher’s iconic Indian Railway projects, featuring 221 counting heads and 148 track sections.

In this project, the FAdC® indoor electronics were placed in 19 stations and 15 block huts, and all 34 are connected over an Ethernet based redundant network, in a distributed architecture.

The wheel sensors were mounted onto the rail with the patented Frauscher Rail Claw which makes the installation process easy and convenient, since no drilling is required. In turn, this preserves the structural integrity of the rail, saves costs, and reduces the dwell time on track for the installation engineers. Additionally, the distributed architecture used in this project minimises setup costs and enhances scalability in an efficient and cost-effective way.

Increasing Availability

COM redundancy, PSC redundancy & network redundancy with bus architecture for very high availability.

Easy and Cost effective Integration

Greater cost saving due to distributed architecture and lower maintenance requirement.

Similar Projects
This might also interest you
1/5
Train DetectionSerbia

Hungary-Serbia Railway Project

The Hungary-Serbia Railway Project is an iconic project of the “One Belt One Road” Initiative between China and CEE countries. Frauscher provides not only high-quality solutions but also detailed technical support and clarification.
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.
Train DetectionUnited States of America

Reducing Delays in a Metro (subway) Environment

A large metro operator was researching ways to reduce bottlenecks that were causing significant delays at a busy station. With two routes dividing in close proximity to the station and a complex auto-routing system that required the use of a 30-second timer to release switches, trains would frequently back up when approaching the station.
Train DetectionIndia

Increasing Availability at Adra Yard

Adra Yard belongs to the Southeastern Railway Zone of Indian Railways and is in West Bengal. Initially the yard was equipped with track circuits and there was a requirement to get them replaced with the Frauscher Advanced Counter FAdC®. This project is one of Frauscher’s esteemed Indian Railway Projects with a coverage of 139 counting heads and 97 track sections.
Train DetectionUnited Kingdom of Great Britain and Northern Ireland

Maintaining the past, creating the future

The Dean Forest Railway (DFR) operates a historical 7 km passenger service line running north from Lydney Junction to Parkend, in the Forest of Dean. Due to extensions of the line and an additional turnout being added at Parkend, an update and modernisation of the existing train detection and signalling system was necessary. Being a heritage railway, it requires high standards in terms of signalling and safety, whilst maintaining the historical touch of the line.