UIC Global Research & Innovation Awards 2012
We are happy to announce that Transrail has received the prestigious UIC Global Research & Innovation Awards, category “Sustainable development”. This was one of six award categories. Transrail won the award out of 46 submissions from companies and universities globally. The jury consisted of IRRB members.
The awards were announced at the UIC 90 th anniversary ceremony on the 11 December 2012. This ceremony included a high-level roundtable where, in fact, sustainable development was one of the key issues of concern.
The award was given for the development of our CATO-system featuring traffic management with on time train operation and eco-driving. This technology brings many new opportunities to the railways. It opens a new era to rail transportation.
CATO is now in use with LKAB iron ore heavy haul operation as well as with Arlanda Express high-speed airport train service in Stockholm. CATO is of great global interest for freight, passenger and metro systems.
ITS world conference
CATO presented at the ITS world conference in Vienna
CATO presented on the internal website of NSB
By courtesy of NSB you may contact us for a copy of the film, describing this new technology in operation.
CATO in operation at Arlanda Express
CATO is now taken into operation on Arlanda Express, the high-speed airport shuttle in Stockholm.
CATO presented in International Railway Journal
CATO featured in Railway Gazette
CATO in operation at LKAB
CATO is now taken into full service in the rail operation of the mining company LKAB one of Swedens most important export companies and a railway operator with tough requirements.
TRMS delivered to Tågab
TRMS, Transrail's resource management and planning system is now taken into operation at Tågab in Kristinehamn, Sweden. The system features modern planning and management of e.g. rail freight transport services, including traffic, vehicles and crew. The system includes a connection to the Swedish Transport Administration for uploading of real time information of train data.
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