Monitor: Our software can help you to monitor
performance, stock and crew in real time, allowing performance
events to be identified as early as possible.
Proactive: Performance events can be predicted
and managed more effectively, with action taken earlier and less
Mobile: Information is available wherever
staff need it, via mobile devices, allowing it to be acted on
in real-time by all staff.
Flexible: Our systems provide flexible network
views, allowing all parties to share common information presented
Faster response: Using our software all members
of the operations team can communicate information quickly and
effectively enabling better actions to be taken.
Collaborate: Collaboration between organisations
can be improved as potentially all parties can contribute information,
share common access and therefore respond to situations on the
basis of better information,
more readily available.
Focus / Alignment: IMPACT™ allows the whole
organisation to have access to all levels of information,
restricted only be security controls imposed by organisational
business requirements. Thus the focus of all members of the team
can be aligned to the same business objectives.
Passenger Communications: Communications with
passengers can also be improved with train and location messaging
capability. This communication can be managed directly with customers
or via station and train staff, improving the customer/passenger
Simplified Investigation: Performance event
analysis and reporting can be managed in real-time simplifying
the investigation, recording and analysis process.
Easier Simulations: Perform more realistic
simulations, faster with less effort. Evaluations of the performance
impact of timetable changes, network performance events, alternative
network layouts and other constraints / factors can be performed
quickly and easily. Using IMPACT™ shortens the time, effort and
cost required to build models and perform subsequent analysis.
More Accurate Simulations: Using IMPACT™ removes
the inherent inaccuracies built into statistical distributions
by using real data that captures natural variations in performance.
Low Maintenance: Using the power of real data,
modelling effort can be significantly reduced with less time
building and maintaining models. These models are also maintained
for network sections that reflect the current network state.