A Predictive Model of User Equipage Costs for Future Air ... - Mitre
A Predictive Model of User Equipage Costs for Future Air ... - Mitre
A Predictive Model of User Equipage Costs for Future Air ... - Mitre
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1 Introduction<br />
1.1 Purpose<br />
As part <strong>of</strong> ef<strong>for</strong>ts to improve the efficiency and capacity <strong>of</strong> the NAS, many new technological<br />
solutions are considered. Most <strong>of</strong> these technologies require the addition or modification <strong>of</strong><br />
equipment not only on the ground, but also in the aircraft that operate in the NAS. Since it is<br />
increasingly difficult to justify a mandate <strong>for</strong> <strong>for</strong>ced aircraft equipage, the success <strong>of</strong> these<br />
technological solutions <strong>of</strong>ten depends upon the aircraft owner/operators to voluntarily equip their<br />
aircraft.<br />
Be<strong>for</strong>e implementing a technological solution, it is prudent to analyze the solution’s costs and<br />
probabilities <strong>for</strong> success. In the past, much attention has been paid to the ground infrastructure<br />
costs <strong>of</strong> new programs, but the cost to the aircraft owner/operators has not always been<br />
completely understood. If these aircraft costs are too high, the owner/operators may not equip<br />
their aircraft and the program might not succeed.<br />
This paper presents a methodology that can be used to estimate the future user equipage costs <strong>for</strong><br />
future air traffic services and capabilities. Two examples are presented that analyze Automatic<br />
Dependent Surveillance – Broadcast (ADS-B) equipage costs <strong>for</strong> the applications <strong>of</strong> broadcast<br />
surveillance and full cockpit display <strong>of</strong> traffic in<strong>for</strong>mation (CDTI) operational procedures.<br />
However, a similar methodology may be used <strong>for</strong> numerous other technological solutions,<br />
including navigation and communications.<br />
1.2 Background<br />
MITRE’s Center For Advanced Aviation System Development (CAASD) is <strong>of</strong>ten requested to<br />
provide estimates <strong>of</strong> the cost to implement varying technologies at differing points in the future.<br />
Since many <strong>of</strong> these technologies require equipment to be installed in aircraft as well as on the<br />
ground, it became necessary to develop a <strong>for</strong>ecast <strong>of</strong> aircraft quantities that would allow <strong>for</strong><br />
further classification <strong>of</strong> aircraft capability since the equipage costs <strong>for</strong> all aircraft would not be the<br />
same. For <strong>Air</strong> Transport and Regional aircraft, a bottom-up <strong>for</strong>ecast was developed <strong>for</strong> each<br />
airline that was then summed to arrive at an aggregate. For GA, the <strong>for</strong>ecast was based upon type<br />
<strong>of</strong> aircraft.<br />
The FAA Safe Flight 21 Program Office asked CAASD <strong>for</strong> an analysis <strong>of</strong> potential future ADS-B<br />
equipage and the costs associated with modifying non-capable aircraft. The analysis was<br />
per<strong>for</strong>med using the aircraft quantities from the previously developed <strong>for</strong>ecast. The methodology<br />
followed is presented here as an example that can be used <strong>for</strong> other airborne equipment.<br />
1.3 Scope and Audience<br />
This paper describes the <strong>for</strong>mulation <strong>of</strong> a future fleet-wide aircraft equipage cost estimation<br />
model. First presented is a <strong>for</strong>ecast <strong>of</strong> future U.S. aircraft, broken down by model <strong>for</strong> <strong>Air</strong><br />
Transport aircraft and by type <strong>for</strong> GA aircraft. When combined with model or type specific<br />
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