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Wingman:
More Can Be Gained From GAIN
The U.S.
Congress' General Accounting Office recently said of the FAA's
Operational Evolution Plan (OEP) that, "Having sound performance
indicators [to measure the effectives of OEP initiatives] is of
particular importance if funding becomes limited, because these
indicators can help determine which actions are likely to yield
the best results for the dollars expended and where to redirect
resources should doing so become necessary."
What performance
indicators are there to measure the efficiency and capacity of the
U.S. airspace system? Is it the Department of Transportation’s statistics on
delayed flights? Not
really. At best they
can only indirectly say anything about capacity, and nothing about
efficiency. The
DOT's current effort to add more information about the causes of
delay brings something of value. But it isn’t going to validate improvements in airspace
efficiency.
The FAA's Dave Knorr, the person responsible for measuring the performance
improvements in the U.S. national airspace system (NAS), says that
measuring delays is a good indicator of system problems, but it is
"not a good indicator
of capacity increases." What
Knorr means - and Wingman agrees - is that actual
operational change must be measured. Actual operational change entails such things as airport
throughput change during peak times, or a real reduction of flight
time and distance between two points.
Knorr further
maintains we need to measure performance in an actual operational
environment – not simulated – with real people, in varying
weather conditions, a varying mix of aircraft, and at many
airports with varying runway configurations. Furthermore, Knorr says, this must be done over significant
periods of time – and before as well as after – implementing
Free Flight changes.
Some expected
outcomes from Free Flight (technologies and procedures which
improve airspace efficiency) that need to be measured, according
to Knorr, include reduced taxi times, reduced time and distance
flown in both en route and terminal areas, improved airport
throughput at peak times and even improved predictability of
flight schedules as measured by less variation in actual times.
But how can those
be measured in any reliable and cost effective way? Wingman believes a large part of the answer could come as a
beneficial byproduct from efforts made under the umbrella of the
Global Aviation Information Network (GAIN) – especially the
flight operations quality assurance tool, or FOQA.
How
Present Technology Can Help
FOQA
uses data collected from onboard aircraft sensors to assess a
number of parameters that can be used to analyze procedures and
practices which can lead to accidents. But while it has become an excellent safety analysis
instrument, it could be used for another good purpose as well –
measuring airspace performance.
Today, FOQA is
usually thought of in terms of finding abnormal
or out-of-limits flight episodes.
Many FOQA analytical tools are designed to find these rare
events out of many so-called normal ones. However, for purposes of determining normal performance
indicators, the idea is to collect data over a period of time to
see how everyday operations are affected by technology changes.
To be more
precise, it isn’t only the collecting of flight data that is
important, and it isn’t the identification of dangerous
anomalies for which FOQA was originally designed that is useful
here. It was the
development of newer analytical technologies – PC-based –
which can easily organize and analyze many flights, over
significant periods of time, for many airplanes, crews, airports
and conditions that makes FOQA so useful for performance
measuring.
What we have now
is the ability to take flight data such as an aircraft’s actual
flight path, altitude, speed, power setting, flap configuration,
weight and so on, and correlate those parameters with other
important factors, such as the temperature, wind and visibility
that are occurring simultaneously. Even the airport and specific runway being used can be
recorded and associated with the aircraft’s history.
There are other
important things that can be correlated as well. These include the level of aircraft equipage, the
availability and use of Free Flight tools, the use of special
airspace, ATC sector configuration, the number of instrument
approaches and others. All
of these metrics can be correlated with the operational changes
that are of interest.
Imagine what this
means. With these
tools we can accurately measure before and after effects. And by quantifying these results, we can do a number of
things to aid in the justification of investments and set better
priorities for future work.
There are several
off-the-shelf software programs available for identifying
special-events or when system limits are exceeded. But some go beyond that.
NASA’s Aviation Performance Measuring System (APMS), for
example, makes an important advance because of its ability to
retain data from all the flights and all recorded flight
parameters, in order to provide a more nearly complete picture of
air carrier operational performance, especially if they are
further combined with ATC status, airport configuration and
weather information, such as visibility and wind.
There are
privately developed programs, also. Teledyne Controls’ Flight Data Replay and Analysis System
(FLIDRAS) is used to analyze flight crew performance as well as to
monitor the aircraft systems and the health and condition of
aircraft engines, using data from the aircraft’s flight
recorders. As with
APMS, FLIDRAS was designed primarily to be a safety analysis tool,
but its utility could easily be applied to this application as
well.
Should
Safety Tools Be Used This Way?
Should a safety
tool like FOQA be used in this way? Wingman says yes. There is no apparent reason why the two activities can’t be
using the same recorded data for their own important purposes.
The only thing happening is that the data will be analyzed
for different – but in Wingman’s view – complementary
intentions.
Furthermore,
although the data is very valuable for airspace improvement
authentication purposes, there should be no fear that it will be
misused to the detriment of the contributor. Initially, there was skepticism about using FOQA for safety
analysis (or perhaps, because
it was to be used for safety analysis), for fear that it could be
used to assess legal liability or become fodder for public media
distribution and sensationalism. Those fears have significantly diminished, however, because
of de-identification of the data’s source before sharing as well
as strict legislative and regulatory restrictions on its
dissemination. The
same requirements could be applied in this case.
Wingman isn’t
advocating any diminishment of GAIN’s safety priority. He’s merely advocating another use of the data and tools
that are already there. In
the process, Wingman believes, a synergy is created that helps
both the cause of safety and airspace modernization.
A
Minimum Commitment Is Required
There are some
problems with GAIN safety data today, however. One is the lack of sufficient standardization.
Another is a sharing mechanism to disseminate information
between several entities with appropriate safeguards. And finally there is the cost of equipping aircraft with
adequate recorders and then putting into place the proper
analytical tools along with staff to run it. While, spending money on anything but core activities is
especially problematic for nearly all airlines in today’s
economic climate, it is a special concern for regional carriers
and other airlines with small fleets.
Wingman has two
suggestions:
First, why not
expand the use of FOQA and GAIN to get more leverage? All of that is being done to understand aviation safety
issues: data collection, data analysis, information sharing and
information security is applicable to the problem of measuring
system performance as well. As
a matter of fact, safety performance and system performance
overlap in many ways. Let’s
use that synergy.
Second, a valid
and widely accepted performance measurement will inspire
confidence to make needed outlays. It is natural for technical people to think mainly about
technical problems, solutions and improvements, just as financial
people think about reducing costs and increasing economic value.
An accurate quantification of technology’s benefits can
bring these camps together.
If airspace
modernization and Free Flight benefits can be validated, one of
the most vexing problems of their implementation can be overcome
– convincing governments, service providers and users to make
the investment.
Wingman
will have more to say on this last point in weeks to come.
01-28-2002.
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