A six factorial response surface text matrix was generated, varying the size of the sequence queuing window, the lateral limits of the ACV boundary, the outer limits of ADS_B reception (and therefore when an approach request could be received), the average arrival Rate (λ), the time of re-request relative to the estimated airport use  time, and the mix of aircraft (approach speeds).  Independent variable levels chosen to be representative of the design space can be seen in Figure 4.  A six factorial response surface text matrix was generated, varying the size of the sequence queuing window, the lateral limits of the ACV boundary, the outer limits of ADS_B reception (and therefore when an approach request could be received), the average arrival Rate (λ), the time of re-request relative to the estimated airport use  time, and the mix of aircraft (approach speeds).  Independent variable levels chosen to be representative of the design space can be seen in Figure 4. 
Independent Variable Independent Variable
 UnitsUnits
 Levels Levels
 
Request window
 min
 0.1
 0.7
 1.1
 1.4
 2.0
 
ACV boundary
 NM
 12.0
 14.6
 16.0
 17.4
 20.0
 
ACV annulus
 NM
 3.0
 8.5
 11.5
 14.5
 20.0
 
Arrival interval (λ)
 min
 4.0
 22.1
 32.0
 41.9
 60.0
 
Re-request delay
 min
 0.0
 0.7
 1.0
 1.4
 2.0
 
% GA 
 %
 1
 33
 51
 68
 100
 

Figure 4: Variables Limits
Using a balanced central composite experimental design, 86 samples, each simulating 10 hours of airport arrivals were taken.  For each sample, the simulation was allowed to continue to run until all arriving traffic had been serviced.  Arrival data were collected for selected responses and averaged over the sample period. A summary of the data is shown in Figure 5.
3.3 Results and Discussion

Some delays are inevitable due to the nature of the service an automated one-in-one out airport would provide.  Before we can field such a system, we must determine what level of delay is operationally feasible.  By looking at the summary statistics 
 Response
 Mean
 Median
 Min
 Max
 
Sim Duration
 616.4
 600.0
 600.0
 1446.9
 
Airport Utilization
 44%
　
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