Skip to main content

Finnish transport agency (Liikennevirasto) selects Vilant GEN2 RFID system

Liikennevirasto, the body responsible for the management, development and maintenance of the Finnish railway network, has announced Europe's largest train identification system with passive RFID covering the whole of Finnish state rail network. Vilant has won a contract to install 120 specialised RFID reader units, and integrate them into Liikennevirasto's detector network.
June 19, 2012 Read time: 2 mins
5949 Liikennevirasto, the body responsible for the management, development and maintenance of the Finnish railway network, has announced Europe's largest train identification system with passive RFID covering the whole of Finnish state rail network. 5950 Vilant has won a contract to install 120 specialised RFID reader units, and integrate them into Liikennevirasto's detector network.

The new, highly reliable railway tracking system aims to improve safety and service of operations on Finnish railroads. It provides real-time monitoring of trains passing at all speeds, up to 250 km/h, and even in the most remote areas utilising the GPRS network.

During a one-year pilot, Vilant worked together with Liikennevirasto to provide a solution based on passive GEN2 RFID technology. Four Vilant RFID Reader Units were installed in different locations by the Finnish railroad. These units were used to collect information from the rail cars passing on the tracks, as well as combine it with information from the detector system. They work over the mobile network and can be placed in remote locations without loss of accuracy. Even untagged wagons linked to RFID tagged trains are registered in the system and reported on.

"The results of the pilot were most satisfactory," says Seppo Mäkitupa, senior officer at Liikennevirasto. "Vilant was able to show that the RFID System is reliable and working with almost 100 per cent accuracy. This convinced us that passive GEN2 RFID technology works and we can start to take advantage of the benefits it offers."

Liikennevirasto will be one of the world's first organisations in the industry to implement passive RFID technology which is claimed to be a more cost efficient way that also has a longer lifetime than active RFID technology.

The main benefits of the system are real-time monitoring of rolling stock for accurate tracking and identification of rail traffic as well as full exploitation of the data registered by the fault-detection system. This enables preventive maintenance for improved safety of railway operations. For example, it links data accurately to an over heated axle bearing, the wagon and the train it belongs to as the fault occurs. As a result, the bearing can be replaced before it breaks. The system also enables database formation and sharing of data with operators who own the trains. For example, it informs them about the exact location and arrival time of their trains.

For more information on companies in this article

Related Content

  • Reykjavik traffic light priority system provided by Siemens
    October 12, 2016
    Siemens has been selected to supply its Sitraffic satellite-based prioritisation system for emergency and urban public transport vehicles to Iceland’s capital, Reykjavik. This is a real-time tracking application for managing traffic lights and passenger information. The system ensures that traffic lights automatically turn green for emergency and public transport vehicles at road intersections.
  • Getting real with fleet management and passenger information
    September 2, 2013
    UK ticketing technology company Parkeon has partnered with information specialist Cloud Amber to develop a new way of using the in-built GPS/GPRS functionality of an electronic ticket machine to improve the scope and accuracy of real time information systems while reducing system cost, complexity and maintenance requirements. Newport Transport is to take advantage of the alliance to become one of the first bus operators in the country to take direct control of its real time information systems, using the te
  • CRASH Predicts ‘unpredictable’ in traffic incidents
    November 11, 2015
    Road crashes are not as random as they may appear and analysing data can reveal patterns that can help various authorities target their resources more accurately. David Crawford reports. Figures from the US National Highway Traffic Safety Administration (NHTSA) show that in 2013 there were 32,719 people killed on American roads and 2.31 million injured. While these form part of an overall 25% drop over the decade from 2004, US Transportation Secretary Anthony Foxx continues to stress that reaching the procl
  • Pioneering sensors collect weather data from moving vehicles
    January 20, 2012
    ITS International contributing editor David Crawford foresees the vehicle as 'sentinel being'