Banedanmark Track Analysis Model 2nd Generation

Banedanmark
Track Analysis Model
2nd Generation
Customer reference
for maintenance and traffic control of most
of the Danish railway network. Banedanmark
has a staff of over 2,500, with offices all over
Denmark and headquarters in Copenhagen. It
is responsible for 2,323 km of railway tracks.
Almost 1 million trains run on the rail network
every year. More than 170 million passengers
and 15 million tons of freight are transported
annually on the Danish railway network.
Founded in 1997, Banedanmark (formerly known
as Banestyrelsen) is a state-owned company
that operates under the auspices of the Danish
Ministry of Transport and Energy and is responsible
www.bane.dk
description
Banedanmark is a state-owned company that
operates the Danish state railway network,
covering over 2,000 km of railway tracks.
In 2010, Banedanmark invited tenders for
a contract regarding the procurement of a
second-generation Track Analysis Model to help
optimize costs for the next five or six decades.
The scope of the contract was to
deliver, implement, support, and
maintain an IT tool designed to:
Forecast the main development
indicators for the whole Danish
track infrastructure system
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Description
Prioritize and plan renewal and maintenance
activities under budget and resource constraints
Monitor key indicators of track
infrastructure condition
Measure efficiency of managerial decision-making
One of the hallmarks of Prognoz technology—
long-term modeling capabilities —
enabled Prognoz to offer insight into track
infrastructure over periods of 50–80 years.
Project hallmarks
Simple, straightforward interface,
requiring no dedicated and
time-consuming training
Easy-to-view and easy-to-analyze visual
representations, flexible settings
Access to data and functionality
within a single system
Over 100 KPIs, providing insight into
track infrastructure condition
and characteristics at any point
in time over a 100-year horizon
Over 7 million variables processed
by the modeling module
More than 40 model parameters
for flexible algorithm settings
at any computation stage
Results of the implementation
Less time to prepare reports
and analytical materials due to
flexibility of software tools
Timely data updates on the condition
of the Danish railway infrastructure
ensure high quality, consistency,
and reliability of data. Long-term,
financially optimized, and costefficient activity planning
Money and resources saved due
to optimized track infrastructure
renewal and maintenance planning
under specified constraints
Streamlined strategic planning
based on modeling and forecasting
Banedanmark’s performance in
connection with external factors;
improved accuracy of forecasts
Improved efficiency and easier
planning and KPI computation
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www.prognoz.com
www.prognoz.com