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controller or pilot) is the separator with
the best separation provision intervention
capability. That is to say, the separator
with the highest ability to detect and solve
a conflict and to implement and monitor
the solutions.
“The introduction of new technologies
will require on-going assessments as to
who is the best separator – and don’t
forget that in some cases (perhaps many
cases) it may still be the controller,”
says Peters.
EUROCONTROL / IFATCA 2008: a collaborative approach to the future > Designing the network
EUROCONTROL’s FASTI will not only enhance safety, but also add capacity to the
network. David Learmount talks to former programme controller Chris Brain for a
fuller explanation
FASTI – First Air Traffic
Control Support Tools
Implementation
Human beings – air traffic control officers
(ATCOs) – will remain central to the
delivery of ATM for the foreseeable future.
For that reason – and because the demand
for air travel will continue to grow –
ATCOs must be provided with support
tools that can increase their own capacity
to handle the additional traffic without
reducing safety levels.
The key to enabling controllers to
handle more aeroplanes safely, according
to EUROCONTROL, is to provide a tool
that gives them instant access to predictive
information that they have previously had
to compute in their own heads. Leading a
EUROCONTROL scheme known as
FASTI – the First Air Traffic Control
Support Tools Implementation
programme – former controller Chris
Brain has been responsible for helping Air
Navigation Service Providers (ANSPs)
select and operate tools that will provide
benefits to controllers. The generic name
for the principal tool that has been
approved to deliver this advance is Medium
Term Conflict Detection (MTCD), but
before explaining what it does, it is worth
looking at the fundamentals of how most
of today’s fully-trained European ATCOs
currently do their job.
Under the legacy system, using familiar
tools such as secondary radar displays and
the continually updated information on
individual flight progress strips for each
aircraft, ATCOs have to conjure up a
mental forecast of the results of every
instruction they pass to flight crew before
they do it. Ahead of each decision to
change an aircraft’s trajectory, or even
clearing it to continue further on its
existing path, controllers have to picture
where the aircraft will be relative to all
the others in the sector a few minutes
ahead, and scan the display for potential
conflicts – a bit like chess. Now MTCD
can perform this task for the controller,
but more accurately and much further
ahead in time than even the best ATCO
could do.
For many years ANSPs have worked
with a system known as Short Term
Conflict Alert (STCA), which is simply a
“safety net”. If a controller has failed to
notice a developing conflict, STCA alerts
the controller up to a couple of minutes
before it would take place so he/she can
take action to prevent it. It has no place as
a planning tool, however. MTCD, on the
other hand, allows controllers to check
whether there might be a conflict up to
about 20 minutes ahead.
The MTCD today is ground-based
equipment. It is a computer that receives
constantly updated information about
each aircraft’s position and currently
cleared trajectory, and its software can
predict where all of them will be in 20
minutes’ time. The computer tracks each
aircraft’s real-time progress, knows what
type of aircraft each is, and is programmed
with each type’s performance
characteristics, so its predictions about
medium-term trajectories are accurate to
within a few seconds, says Brain, whereas
ATCO’s mental calculations of future
scenarios had to build in much more
room for error, reducing the amount of
▼
36
The computer tracks
each aicraft’s
real-time progress,
knows what type
of aircraft each is,
and is programmed
with each type’s
performance
characteristics
traffic they could safely handle. When
planning ahead, an ATCO with MTCD
also has at their disposal a ‘what if ’
function to question the system and get a
forecast of any potential conflicts. As
Brain explains, the system “improves
predictability and reduces uncertainty”.
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