Simulation of Airplane Traffic at
Bradley International Airport
Jenifer Miller
Simulation and Modeling Analysis Term Project
December 2000
Dr. Ernesto Gutierrez-Miravete
TABLE OF CONTENTS
List of Tables ___________________________________________________ ii
List of Figures ___________________________________________________ ii
Abstract________________________________________________________ iii
I.
II.
III.
IV.
V.
VI.
VII.
VIII.
IX.
X.
XI.
XII.
XIII.
Introduction _______________________________________________________________ 1
Objective _________________________________________________________________ 1
Scope ____________________________________________________________________ 1
Requirements ______________________________________________________________ 1
Data Collection ____________________________________________________________ 1
Model Assumptions _________________________________________________________ 2
Pro-Model Element Discussion ________________________________________________ 2
A. Locations______________________________________________________________ 2
B. Entities _______________________________________________________________ 3
C. Processing _____________________________________________________________ 3
D. Arrivals _______________________________________________________________ 4
E. Attributes _____________________________________________________________ 7
F. User Distributions _______________________________________________________ 7
Verification _______________________________________________________________ 8
Validation _________________________________________________________________ 8
Results ___________________________________________________________________ 8
Conclusion _______________________________________________________________ 10
Appendix _________________________________________________________________ I
A. Input text for base case, scheduled arrivals with variability _______________________ I
B. Input text for double arrivals, even arrival distribution ________________________ XII
C. Output text for base case, scheduled arrivals with variability ____________________ XX
D. List of files on floppy disc with description ______________________________ XXXIV
References
i
LIST OF TABLES
Table 1. Results comparing two increase traffic studies to base _________________________ 9
Table 2. Results comparing airport expansion impact to base __________________________ 10
LIST OF FIGURES
Figure 1.
Figure 2.
Figure 3.
Figure 4.
Figure 5.
Figure 6.
Schematic layout of locations in model _____________________________________
Schematic of processing and routing _______________________________________
Example of how arrivals with variability are scheduled in ProModel _______________
LL Distribution based on actual data for early/late arrivals ______________________
Arrival schedule for all airlines combined ____________________________________
Gate-stay distributions for three different situations ____________________________
ii
3
4
5
5
6
7
ABSTRACT
This paper presents the results of a semester-long simulation modeling project to model airplane traffic at
Bradley International Airport. The initial base model is of the current airport and traffic situation. Building
this model required obtaining data on scheduled and actual arrival and departure times for all airplanes at
the airport by airline, as well as gate and runway information from the airport.
After completing the initial model and verifying that it gives reasonable results, a study was done to look at
limitations on increased capacity. The first part of this study looked at doubling airport traffic, because this
is a very large increase and would likely highlight any areas that present limits against increasing traffic.
The result of this study was to show that, for most airlines, gate capacity is not the limiting factor, but that
runway capacity is used up quickly as airport traffic is increased, and a doubling of the traffic resulted in
approximately 30 times the waiting time for planes waiting to land and take off. However, a second part of
this study indicates that the schedule of arriving planes has a significant impact on the wait times as well.
For a scenario of double the airplanes with a more even arrival distribution, the wait times were reduced
from 30 times the base to about 10 times the base. So as the airport expands its current operations, it is
important to consider the schedule of incoming planes, and not just the number of planes.
A final study looked at a current expansion project at Bradley International Airport. They are building a
new terminal which will increase the number of gates by 6, which should result in about 25% more airplane
traffic. Modeling this scenario showed that a 25% increase in airplane traffic, assuming the same arrival
distribution as the base case will approximately double the time that planes have to wait for the runway on
arrival and departure, but the resulting wait times are still reasonably small, on the order of three minutes.
Therefore, this current expansion should not require the construction of additional runways to handle the
increased traffic at the airport.
iii
I. Introduction
Simulation modeling can be a cost-effective method for evaluating any number of systems when actual
experimentation is impossible or impractical. One primary focus is on manufacturing and warehousing
systems, but simulation is used in many other areas as well. The intent of this project is to look at one
portion of the operations at Bradley International Airport with a simulation model to evaluate airport
capacity. Although many aspects of airport design influence its capacity, this model is limited to looking at
airplane traffic occurring on the runways and at the gates. The questions to be answered are:
1.
2.
3.
4.
What is the current utilization rate of the airport’s runways and gates?
What is the impact on schedule of increasing airport traffic with the current airport design?
How would adding runway(s) or gate(s) improve the performance and capacity of the airport?
How does the current airport expansion project impact airport performance and capacity?
This model attempts to answer each of these questions. The remainder of this report will explain the model
setup and assumptions, the data used and the post-processing methodology, along with the results of the
study.
II. Objective
The objective of this project is to model airplane traffic at Bradley International Airport and
evaluate its capacity, as well as to evaluate the impact of current airport expansion on capacity and
schedule.
III. Scope
This project is limited to modeling the airplane traffic at the airport and does not consider the impact of
parking, customer service, baggage handling, etc.
IV.
Requirements
In order to complete this model, the main requirement was flight schedule data. In addition to the intended
schedule, it was required to gather actual arrival and departure times for each flight over several days.
Another requirement was the number of gates for each airline. FAA procedural information on runway
times was required to model runway usage, and finally, actual data on taxi times for the airport allowed for
model validation.
V. Data Collection
Initial data collection was done by visiting with operations specialists at Bradley International Airport.
They were able to provide an up-to-date schedule of all commercial flights into and out of the airport
including for each:





Airline
Arrival or departure time
Flight number
Type of aircraft
Origination or destination airport
1
With the flight number information, I was able to use Travelocity.com’s arrival and departure information
to get the actual arrival and departure time for each flight over several days. This was used both to
determine a distribution of earliness/lateness as well as to determine a distribution for how much time each
plane should spend at the gate.
VI. Model Assumptions



No flights are cancelled – Early and late arrivals and departures are modeled, but this model
does not handle cancellations. It is assumed that the worst-case situation for the airport in
terms of capacity is if all scheduled flights occur each day.
Each airline uses a fixed number of gates – Each incoming flight is not assigned to a
particular gate, but to a “grouped” gate belonging to its airline. This “grouped” gate has a
capacity equivalent to the number of actual gates that the airline uses at the airport. This
allows for an incoming plane to use any one of that airline’s gates if the one it was originally
scheduled for is occupied, as long as there is a gate with unused capacity.
Time to taxi into the gate is not modeled. Time on the runway between flights is based on
FAA procedures, and then planes simply go to a holding area to wait for a free gate. This
method provides results consistent with airport data for the time between landing and arriving
at the gate on average.
VII. ProModel Elements
A. Locations
See Figure 1 for schematic of all locations. They are labeled for ready identification.







Arrivals
 1 for each airline
 Place to wait if runway capacity is not available
Runway
 Capacity based on number of runways in model
 Planes wait for fixed time of 2 minutes based on FAA procedural guidelines
 Routing to “waiting for gate” or “exit” depending on arrival/departure attribute
Waiting for gate
 Place to wait for gate if gate capacity is not available
Gate
 1 for each airline
 Capacity based on actual number of airport gates for that airline
 Residence time is user distribution based on actual data
 Some number of planes “arrive” at the gate first thing in the morning to model planes that
sat at the gate overnight. Planes that overnight at gate or remote are treated as exiting the
system when they arrive at the gate.
Remote
 Extra space for planes to sit overnight
 Fixed number of planes “arrive” at remote first thing in the morning and move to the gate
when it has free capacity
 Not all airlines have planes remain at remote locations overnight
Taxi-Out
 Models taxi time for planes to reach runway from gate
 Limited data available, so uses triangularly distributed wait times based on Bradley
International Airport data downloaded from FAA website
Departures
 Place for planes that have left the gate to wait for runway capacity to free up.
2

Attribute set here so planes from departures go from runway to exit rather than back to
gate
Figure 1. Schematic layout of locations in model.
B. Entities

Jet – 1 entity for each airline
American Airlines
Air Canada
America West
Continental Airlines
Delta Airlines
Midway Airlines
Northwest Airlines
Southwest Airlines
Trans World Airlines
United Airlines
US Airways
C. Processing
The general processing and routing for entities is as follows. Particular times and distributions will be
discussed later. See figure 2 below for a representative diagram of the routing.
At the start of each day, planes “arrive” at both the gates and remote locations. Planes arriving at the gate
first thing in the morning have the attribute “overnight” set to 1. Planes arriving at the remote locations
first thing in the morning have the attribute “from_remote” set to 1. In the base model, arrivals to the
airport from other airports are scheduled based on the actual schedule, including variability. These arrivals
have the attribute “arr_dep” set to 0 to indicate that they are arrivals. Each incoming plane arrives at the
arrivals location corresponding to its airline. From here it is routed to the runway when the runway
capacity is free. From the runway, arriving airplanes move to “waiting_for_gate”. Each plane is then
routed to its airline’s gate when that gate has free capacity. At the gate, planes wait for some amount of
time in order to model the departure schedule. The waiting time is selected from one of three distributions.
One distribution is used for planes that have been at the gate overnight (attribute overnight=1). The second
is for planes that arrived at the gate from remote (from_remote=1). All other planes take their waiting time
from the third distribution. Most planes departing the gate are routed to the location “taxi_out”. But in
order to model the planes that remain at the gate or remote overnight, some planes exit the system directly
from the gate. This is determined based on an attribute that counts the number of arrivals. For each airline,
3
there are a fixed number of planes arriving at its arrival location, and a fixed number of planes that remain
at the gate or remote locations overnight. A counter attribute is updated each time a plane enters the arrival
location for each airline. After this counter reaches the number of planes for that airline that should leave
the airport as a departure, all remaining planes simply exit the system from the gate. Planes that have
arrived at “taxi_out” wait for a specified amount of time based on a distribution. They then move on to the
location “departures” to wait for the runway capacity to free. At this point, the attribute “arr_dep” is set to
one, so that when the plane arrives at the runway, it will be routed to exit the system.
Figure 2. Schematic of processing and routing.
D. Arrivals
Arrivals to the system (from other airports) for the base system are scheduled in three different ways:
1.
2.
3.
Based on the exact schedule for each airline
Based on variations on the exact schedule for each airline – Arrivals are created as arriving at
a particular time with a variation picked from a user distribution.
Based on arrival table from overall distribution of arrivals for all airlines.
Figure 3 shows a sample of how scheduled arrivals were implemented in ProModel. This schedule is for
American Airlines, and incorporates variability by way of the user distribution LL(). This user distribution
is based on actual flight variability data collected via the World Wide Web, and is shown in Figure 4.
4
Figure 3. Example of how arrivals with variability are scheduled in ProModel.
40
Percentage of Arrivals
35
30
25
20
15
10
5
0
-41 -30 -20 -10
0
10
20
30
40
50
60
70
80
90 100 110
Number of Minutes Early/Late
Figure 4. LL Distribution based on actual data for early/late arrivals.
It was initially expected that the first set-up, with no variability, could be used to verify the model, because
it would behave as the airport would on an ideal day. This did not prove to be the case, however. Because
of inherent variability in arrival and departure times, several flights may be scheduled to arrive or depart at
the same time. This caused back-ups in the initial model, resulting in long wait times for the runway and
gates to have free capacity. The remaining set-ups gave similar results to each other, and for both the
planes spent a reasonable time waiting for the runway and gates to become available. Figure 5 shows the
distributions used for the case of all arrivals combined.
5
All Airlines Combined
Percentage of Arrivals
12
10
8
6
4
2
0
2
3
4
5
6
7
8
9 10 11 12 13 14 15 16 17 18 19 20 21
Number of Hours from Start of Day
Figure 5. Arrival schedules for all airlines combined.
Statistical analysis of the output was used to determine if the different methods for specifying arrivals
produced statistically different results. The paired-difference method was used to make comparisons
between specifying an arrival distribution vs. specifying arrival times with variability. The conclusion is
that the results for the distribution do not vary significantly from the case with the specified arrival times
with variability, because the confidence intervals for each of five metrics encompassed zero. The metrics
used were:
1. Time spent at arrivals for American Airlines
2. Time spent at arrivals for Midway Airlines
3. Time spent at arrivals for US Airways
4. Time spent at “wait for gate”
5. Time spent at departures
The three airline arrival queues used were chosen because they represent airlines with a small number of
flights (Midway), a medium number of flights (American) and a large number of flights (US Airways).
Increased capacity was handled in two ways:
1.
2.
Double arrivals for all airlines based on the original arrival distribution.
Double arrivals for all airlines based on an even arrival distribution.
Both of these were used to determine which areas of the airport were limiting in increased traffic.
6
E. Attributes
Several attributes are used to help determine routing. They are:




arr_dep – used at runway to determine routing
 0 means plane is an arrival
 1 means plane is a departure
counters – used to determine number of planes from each airline entering system
count_aa
count_nw
count_ac
count_sw
count_aw
count_twa
count_co
count_un
count_dl
count_us
count_mid
overnight
from_remote
F. User Distributions
User distributions are used to determine how long each plane should wait at the gate before being routed to
“taxi_out”. Three distributions are used depending on whether the plane was at the gate overnight, arrived
at the gate from a remote location or arrived at the gate as an arrival from another airport. Figure 6 shows
the distributions for each of these.
18
25
Percentage of Arrivals
15
10
5
14
12
10
8
6
4
2
0
0
52
62
72
82
92
102
112
122
132
142
152
162
30
172
40
50
60
70
80
30
25
20
15
10
5
0
4
14
24
34
44
90
100
110
120
130
140
Number of Minutes at Gate for Planes from Remote
Number of Minutes at Gate for Planes at Gate Overnight
Percentage of Arrivals
Percentage of Arrivals
16
20
54
64
74
84
94
104 114 124 134
Number of Minutes at Gate for Arriving Planes
Figure 6. Gate-stay distributions for three different situations.
7
150
VIII. Verification
The model was verified by building it up slowly. In order that initial work could be done in the student
edition, a separate model was built for each airline. These models were much smaller than the final
combined model, and could therefore be debugged more easily. When the model did not work properly,
the trace option was used to determine step-by-step what was happening as the model ran. Initially, simple
arrivals and gate stays were used, without variability, to ensure that the model performed as desired.
IX. Validation
After the model was verified and all of the necessary variability was built in, validation was done both
quantitatively and qualitatively. First, the amount of time that planes spent waiting at various locations was
examined. At this point, the only requirement was that planes spent what was deemed a reasonable amount
of time waiting for the runway and gates to have free capacity, on average. The second point of validation
was to compare “taxi-in” times with data gathered from Bradley International Airport. This data was
available via the Federal Aviation Administration’s web site. In order to make the comparison, the time
spent on the runway (2 minutes) was added to the time spent waiting for the gate to have free capacity, on
average for five individual model simulations. This was taken to be the time the planes spent in taxi transit
after landing. This was 4.3 minutes on average from the base model, compared to the value of 4.8 from the
airport data. For the purposes of this study, I considered this 30-second variation to be close enough to
indicate a valid model.
X. Results
After running the base model, with scheduled arrivals including variability, several performance metrics
were evaluated. The following table shows average results for these metrics, for the three different
simulations, each run for five repetitions each of 1 day. Each day is scheduled to start at 5am, and the latest
arrival occurs no later than 2 am, so the length of the day is approximately 21 hours, but the actual model
runs until all planes have exited the system, so each day may have a slightly different length. This explains
the variability in runway usage. The runway is used for 4 minutes for each plane (2 for the arrival, 2 for the
departure), and so is used for a total of 576 minutes, which would be about 46% of a 21-hour day.
1.
2.
3.
Base, arrivals scheduled based on distribution for all airlines.
Double the arrivals for each airline, with the same distribution. Keep same runway and gate
capacity as base.
Double the arrivals for each airline, with an even distribution of arrivals throughout the day.
Keep same runway and gate capacity as base.
8
Base
Double
Double, Even
%/Base %
%/Base %
% of Time Full
Runway
Gate AA
Gate AW
Gate AC
Gate CO
Gate DL
Gate Mid
Gate NW
Gate SW
Gate TWA
Gate UN
Gate US
44.35
6.63
24.08
49.42
17.81
7.76
29.76
9.66
18.84
49.59
18.71
10.43
84.08
6.16
38.21
64.63
27.8
11.85
42.11
10.72
37.2
64.38
28.78
20.49
1.9
0.9
1.6
1.3
1.6
1.5
1.4
1.1
2.0
1.3
1.5
2.0
85.52
6.67
42.16
70.05
22.51
8.94
44.09
18.37
38.52
68.93
26.88
22.7
1.9
1.0
1.8
1.4
1.3
1.2
1.5
1.9
2.0
1.4
1.4
2.2
Minutes Wait
AA Arrivals
AW Arrivals
AC Arrivals
CO Arrivals
DL Arrivals
MID Arrivals
NW Arrivals
SW Arrivals
TWA Arrivals
UN Arrivals
US Arrivals
Wait for gate
Departures
1.31
1.37
1.34
1.23
0.97
1.02
0.8
0.75
1.14
1.14
1.08
3.39
1.3
42.19
38.01
42.57
41.24
41.59
39.99
39.64
43.64
41.63
42.24
41.96
5.31
38.15
32.2
27.7
31.8
33.5
42.9
39.2
49.6
58.2
36.5
37.1
38.9
1.6
29.3
13.18
13.2
12.46
13.67
13.13
13.8
13.92
12.84
13.62
13.46
13.39
7.54
12.52
10.1
9.6
9.3
11.1
13.5
13.5
17.4
17.1
11.9
11.8
12.4
2.2
9.6
Table 1. Results comparing two increase traffic
studies to base.
The table above shows that doubling the airplane traffic with the same configuration as the base case in
general increases the utilization of the gates, but for most of the gates the utilization is not doubled.
Utilization here is defined as the percentage of time that the gate is completely full, and does not consider
times when the gate contains fewer airplanes than its capacity. For this scenario, although the gate
utilization does not increase even double, the amount of time spent waiting for the runway increases
significantly, approximately 30 times the original times. Running a simulation with the same number of
airplanes (double the base amount), but with the arrivals spread evenly throughout the day greatly reduced
the amount of time spent waiting, about 3 times relative to the second scenario. From this, two things
become apparent:
1.
2.
The runway capacity is the limiter on increased airplane traffic at the airport, in general.
The schedule of arrivals greatly impacts the airport’s capacity.
From the base case, it was also seen that two airlines in particular had gate capacity problems. Air Canada
and Trans World Airlines both have only 1 gate, and had the highest level of time blocked for their planes
compared to the other airlines. When the airplane traffic was doubled, the amount of time blocked for
these two airlines skyrocketed, jumping to about 60 minutes for Air Canada and about 90 minutes for
TWA. This is due only to the doubling of arrivals for these specific airlines. It is therefore recommended
that if these particular airlines need to increase their daily flights, they would require additional gate
capacity. The other airlines did not run the risk of filling their gates to capacity, though, even with double
the traffic.
Bradley Airport is currently undergoing expansion by building a new terminal. The result of this expansion
is to increase the number of gates by 6, which would represent an additional approximately 25% in airplane
traffic. This assumes that either this increase would be due to new airlines, or to expansion of current
airlines that would occupy more gates after the expansion than they currently do. Although the gate
utilization is not currently limiting at the airport, new gates would be required for new airlines to begin
operations at the airport, because typically airlines do not share gate space. A final ProModel model was
9
set up assuming that all of the planes (33 additional) would belong to a new airline that would occupy all 6
additional gates. The table below shows the results for this case, as compared to the base.
Base
Add Airline
%/Base %
% of Time Full
Runway
Gate AA
Gate AW
Gate AC
Gate CO
Gate DL
Gate Mid
Gate NW
Gate SW
Gate TWA
Gate UN
Gate US
44.35
6.63
24.08
49.42
17.81
7.76
29.76
9.66
18.84
49.59
18.71
10.43
54.65
5.74
25.42
46.11
14.91
7.24
29.85
10.23
19.16
44.38
20.34
11.13
1.23
0.87
1.06
0.93
0.84
0.93
1.00
1.06
1.02
0.89
1.09
1.07
Minutes Wait
AA Arrivals
AW Arrivals
AC Arrivals
CO Arrivals
DL Arrivals
MID Arrivals
NW Arrivals
SW Arrivals
TWA Arrivals
UN Arrivals
US Arrivals
Wait for gate
Departures
1.31
1.37
1.34
1.23
0.97
1.02
0.8
0.75
1.14
1.14
1.08
3.39
1.3
1.93
2.48
2.2
2.68
2.39
2.23
1.92
2.29
1.93
3.05
1.85
3.01
2.39
1.47
1.81
1.64
2.18
2.46
2.19
2.40
3.05
1.69
2.68
1.71
0.89
1.84
+25% flights approx.
Table 2. Results comparing airport expansion impact to base.
It was expected for this case that increasing the number of flights by approximately 25% would increase the
runway usage by approximately 25%, and this did turn out to be the case. Also, since all of the flights
belonged to a new airline, it was expected that the gate utilization for each of the other airlines would not
change significantly relative to the base case, which is also shown to be true in the table above. The main
impact of adding this additional airline is an approximate doubling of the time spent waiting for the runway
by airplanes, both in arrivals and departures. But although this wait time is doubled, it is still a reasonably
small number, on the order of 2-3 minutes in general. Therefore, with the airport’s current expansion
project, if they add a number of planes proportional to the number of new gates they are building, planes
from all airlines will end up waiting longer for the runway to be free, but these waits will still be reasonable
and will not require the addition of a second runway space.
XI. Conclusions
The result of this semester project is a working simulation model of the airplane traffic at Bradley
International Airport. Although it incorporates some simplifying assumptions, it provides results that seem
reasonable compatible with actual airport operation. The simulation was used to look at how the airport
currently operates, and to evaluate their current expansion project.
Modeling the current operations shows two airlines that have nearly reached a limit on gate capacity. If
either of these airlines should desire to expand operations at Bradley, they would require an additional gate
for their use, or their planes will end up waiting exceptionally long amounts of time for gate access.
Otherwise, the model does not show any problems with long wait times on average for planes waiting for
access to the runway or gates.
10
Increasing airport traffic by double highlights that the runway will be first to limit the airport’s capacity for
most airlines that currently operate there. However, this increase capacity study also indicated that the
schedule of arriving and departing planes is key in determining wait times for runway usage. Having
planes arrive more evenly throughout the day greatly reduced the amount of time planes had to spend
waiting for runway access.
The model of the expanded airport, with about 25% additional gates and airplanes shows that wait times for
the runway will increase, but will remain reasonable, so the expansion of gate space will not require the
construction of additional runways. This is representative of the actual current expansion project underway
at the airport, and indicates that their project should not hinder airport operations by causing significant
delays to airport traffic.
11
XII. Appendix
A. Input text file for base model that has scheduled arrivals with variability:
********************************************************************************
*
*
*
Formatted Listing of Model:
*
*
C:\Jenifer\airport_sched_arr.MOD
*
*
*
********************************************************************************
Time Units:
Distance Units:
Initialization Logic:
Minutes
Feet
********************************************************************************
*
Locations
*
********************************************************************************
Name
------------Arrivals_aa
Arrivals_aw
Arrivals_ac
Arrivals_co
Arrivals_dl
Arrivals_mid
Arrivals_nw
Arrivals_sw
Arrivals_twa
Arrivals_un
Arrivals_us
Runway
wait_for_gate
Gate_aa
Remote_aa
Gate_aw
Gate_ac
Remote_1_ac
Gate_co
Remote_1_co
Gate_dl
Remote_1_dl
Gate_mid
Gate_nw
Gate_sw
Remote_1_sw
Departures
Gate_twa
Remote_1_twa
Gate_un
Remote_1_un
Gate_us
Remote_1_us
taxi_out
Cap
-------INF
INF
INF
INF
INF
INF
INF
INF
INF
INF
INF
1
INF
5
2
1
1
1
2
1
4
2
1
2
2
2
INF
1
2
2
2
5
4
INFINITE
Units
----1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Stats
----------Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Rules
Cost
-------------- -----------Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, FIFO,
********************************************************************************
*
Entities
*
********************************************************************************
Name
---------Jet_aa
Jet_aw
Jet_ac
Jet_co
Jet_dl
Jet_mid
Speed (fpm)
-----------0
0
0
0
0
0
Stats
Cost
----------- -----------Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
I
Jet_nw
Jet_sw
Jet_twa
Jet_un
Jet_us
0
0
0
0
0
Time
Time
Time
Time
Time
Series
Series
Series
Series
Series
********************************************************************************
*
Processing
*
********************************************************************************
Process
Routing
Entity
Location
Operation
Blk Output
Destination
Rule
Move Logic
-------- ------------- --------------------- -------- ------------- ------------------- -----------Jet_aa
Arrivals_aa
#arr_dep=0 is arrival, 1 is departure
arr_dep = 0
count_aa = ENTRIES(Arrivals_aa)
Jet_aa
Jet_aa
Jet_aa
Runway
IF arr_dep = 0 THEN
{
WAIT 1
}
ELSE
{
WAIT 2
}
1
Jet_aa
Runway
1
Jet_aa
Jet_aa
Jet_aa
wait_for_gate IF arr_dep=0, 1
EXIT
IF arr_dep=1
Gate_aa
FIRST 1
wait_for_gate
1
Gate_aa
IF overnight = 1 THEN
{
WAIT gate_on()
}
ELSE
{
IF from_remote = 1 THEN
{
WAIT gate_rem()
}
ELSE
{
WAIT gate_arr()
}
}
1
Jet_aa
EXIT
FIRST 1
IF count_aa
>=11, 1
Jet_aa
taxi_out
Jet_aa
Departures
Jet_aa
Remote_aa
Jet_aw
Arrivals_aw
Jet_aw
Runway
Jet_aw
wait_for_gate
Jet_aa
taxi_out
WAIT T(5.9, 9.8, 18.2, 1)
1
Jet_aa
Departures
arr_dep = 1
1
Jet_aa
Runway
from_remote = 1
1
Jet_aa
Gate_aa
#arr_dep=0 is arrival, 1 is departure
arr_dep = 0
count_aw = ENTRIES(Arrivals_aw)
IF arr_dep = 0 THEN
{
WAIT 1
}
ELSE
{
WAIT 2
}
IF count_aa < 11
FIRST 1
FIRST 1
FIRST 1
1
Jet_aw
Runway
1
Jet_aw
Jet_aw
Jet_aw
wait_for_gate IF arr_dep=0, 1
EXIT
IF arr_dep=1
Gate_aw
FIRST 1
1
II
FIRST 1
Jet_aw
Gate_aw
IF overnight = 1 THEN
{
WAIT gate_on()
}
ELSE
{
IF from_remote = 1 THEN
{
WAIT gate_rem()
}
ELSE
{
WAIT gate_arr()
}
}
1
Jet_aw
EXIT
IF count_aw = 5,
1
Jet_aw
taxi_out
Jet_aw
Departures
Jet_ac
Arrivals_ac
Jet_ac
Runway
Jet_ac
Jet_ac
Jet_aw
taxi_out
WAIT T(5.9, 9.8, 18.2, 1)
1
Jet_aw
Departures
arr_dep = 1
1
Jet_aw
Runway
#arr_dep=0 is arrival, 1 is departure
arr_dep = 0
count_ac = ENTRIES(Arrivals_ac)
IF arr_dep = 0 THEN
{
WAIT 1
}
ELSE
{
WAIT 2
}
IF count_aw < 5
FIRST 1
FIRST 1
1
Jet_ac
Runway
1
Jet_ac
Jet_ac
Jet_ac
wait_for_gate IF arr_dep=0, 1
EXIT
IF arr_dep=1
Gate_ac
FIRST 1
wait_for_gate
1
Gate_ac
IF overnight = 1 THEN
{
WAIT gate_on()
}
ELSE
{
IF from_remote = 1 THEN
{
WAIT gate_rem()
}
ELSE
{
WAIT gate_arr()
}
}
1
Jet_ac
EXIT
FIRST 1
IF count_ac >=8,
1
Jet_ac
taxi_out
Jet_ac
Departures
Jet_ac
Jet_co
Remote_1_ac
Arrivals_co
Jet_co
Runway
Jet_ac
taxi_out
WAIT T(5.9, 9.8, 18.2, 1)
1
Jet_ac
Departures
arr_dep = 1
1
Jet_ac
Runway
from_remote = 1
1
Jet_ac
Gate_ac
#arr_dep=0 is arrival, 1 is departure
arr_dep = 0
count_co = ENTRIES(Arrivals_co)
1
IF arr_dep = 0 THEN
{
WAIT 1
}
ELSE
{
III
Jet_co
Runway
IF count_ac < 8
FIRST 1
FIRST 1
FIRST 1
FIRST 1
WAIT 2
}
Jet_co
Jet_co
1
Jet_co
Jet_co
Jet_co
wait_for_gate
1
Gate_co
IF overnight = 1 THEN
{
WAIT gate_on()
}
ELSE
{
IF from_remote = 1 THEN
{
WAIT gate_rem()
}
ELSE
{
WAIT gate_arr()
}
}
1
Jet_co
wait_for_gate IF arr_dep=0, 1
EXIT
IF arr_dep=1
Gate_co
FIRST 1
EXIT
IF count_co >=9,
1
Jet_co
taxi_out
Jet_co
Departures
Jet_co
Jet_dl
Remote_1_co
Arrivals_dl
Jet_dl
Runway
Jet_dl
Jet_dl
Jet_co
taxi_out
WAIT T(5.9, 9.8, 18.2, 1)
1
Jet_co
Departures
arr_dep = 1
1
Jet_co
Runway
from_remote = 1
1
Jet_co
Gate_co
#arr_dep=0 is arrival, 1 is departure
arr_dep = 0
count_dl = ENTRIES(Arrivals_dl)
IF arr_dep = 0 THEN
{
WAIT 1
}
ELSE
{
WAIT 2
}
IF count_co < 9
FIRST 1
FIRST 1
FIRST 1
1
Jet_dl
Runway
1
Jet_dl
Jet_dl
Jet_dl
wait_for_gate IF arr_dep=0, 1
EXIT
IF arr_dep=1
Gate_dl
FIRST 1
wait_for_gate
1
Gate_dl
IF overnight = 1 THEN
{
WAIT gate_on()
}
ELSE
{
IF from_remote = 1 THEN
{
WAIT gate_rem()
}
ELSE
{
WAIT gate_arr()
}
}
1
Jet_dl
EXIT
FIRST 1
IF count_dl
>=15, 1
Jet_dl
taxi_out
Jet_dl
Departures
Jet_dl
Jet_mid
Remote_1_dl
Arrivals_mid
Jet_mid
Runway
Jet_dl
taxi_out
WAIT T(5.9, 9.8, 18.2, 1)
1
Jet_dl
Departures
arr_dep = 1
1
Jet_dl
Runway
from_remote = 1
1
Jet_dl
Gate_dl
#arr_dep=0 is arrival, 1 is departure
arr_dep = 0
count_mid = ENTRIES(Arrivals_mid)
1
IF arr_dep = 0 THEN
IV
Jet_mid
Runway
IF count_dl < 15
FIRST 1
FIRST 1
FIRST 1
FIRST 1
{
WAIT 1
}
ELSE
{
WAIT 2
}
Jet_mid
Jet_mid
1
Jet_mid
Jet_mid
Jet_mid
wait_for_gate
1
Gate_mid
IF overnight = 1 THEN
{
WAIT gate_on()
}
ELSE
{
IF from_remote = 1 THEN
{
WAIT gate_rem()
}
ELSE
{
WAIT gate_arr()
}
}
1
Jet_mid
wait_for_gate IF arr_dep=0, 1
EXIT
IF arr_dep=1
Gate_mid
FIRST 1
EXIT
IF count_mid =
6, 1
Jet_mid
taxi_out
Jet_mid
Departures
Jet_nw
Arrivals_nw
Jet_nw
Runway
Jet_nw
Jet_nw
Jet_mid taxi_out
WAIT T(5.9, 9.8, 18.2, 1)
1
Jet_mid Departures
arr_dep = 1
1
Jet_mid Runway
#arr_dep=0 is arrival, 1 is departure
arr_dep = 0
count_nw = ENTRIES(Arrivals_nw)
IF arr_dep = 0 THEN
{
WAIT 1
}
ELSE
{
WAIT 2
}
IF count_mid < 6
FIRST 1
FIRST 1
1
Jet_nw
Runway
1
Jet_nw
Jet_nw
Jet_nw
wait_for_gate IF arr_dep=0, 1
EXIT
IF arr_dep=1
Gate_nw
FIRST 1
wait_for_gate
1
Gate_nw
IF overnight = 1 THEN
{
WAIT gate_on()
}
ELSE
{
IF from_remote = 1 THEN
{
WAIT gate_rem()
}
ELSE
{
WAIT gate_arr()
}
}
1
Jet_nw
EXIT
FIRST 1
IF count_nw >=
7, 1
Jet_nw
taxi_out
Jet_nw
Departures
Jet_sw
Arrivals_sw
Jet_nw
taxi_out
WAIT T(5.9, 9.8, 18.2, 1)
1
Jet_nw
Departures
arr_dep = 1
1
Jet_nw
Runway
#arr_dep=0 is arrival, 1 is departure
arr_dep = 0
count_sw = ENTRIES(Arrivals_sw)
V
IF count_nw < 7
FIRST 1
FIRST 1
Jet_sw
Jet_sw
Jet_sw
Runway
IF arr_dep = 0 THEN
{
WAIT 1
}
ELSE
{
WAIT 2
}
1
Jet_sw
Runway
1
Jet_sw
Jet_sw
Jet_sw
wait_for_gate IF arr_dep=0, 1
EXIT
IF arr_dep=1
Gate_sw
FIRST 1
wait_for_gate
1
Gate_sw
IF overnight = 1 THEN
{
WAIT gate_on()
}
ELSE
{
IF from_remote = 1 THEN
{
WAIT gate_rem()
}
ELSE
{
WAIT gate_arr()
}
}
1
Jet_sw
EXIT
FIRST 1
IF count_sw
>=10, 1
Jet_sw
taxi_out
Jet_sw
Departures
Jet_sw
Jet_twa
Remote_1_sw
Arrivals_twa
Jet_twa
Runway
Jet_twa
Jet_twa
Jet_sw
taxi_out
WAIT T(5.9, 9.8, 18.2, 1)
1
Jet_sw
Departures
arr_dep = 1
1
Jet_sw
Runway
from_remote = 1
1
Jet_sw
Gate_sw
#arr_dep=0 is arrival, 1 is departure
arr_dep = 0
count_twa = ENTRIES(Arrivals_twa)
IF arr_dep = 0 THEN
{
WAIT 1
}
ELSE
{
WAIT 2
}
IF count_sw < 10
FIRST 1
FIRST 1
FIRST 1
1
Jet_twa
Runway
1
Jet_twa
Jet_twa
Jet_twa
wait_for_gate IF arr_dep=0, 1
EXIT
IF arr_dep=1
Gate_twa
FIRST 1
wait_for_gate
1
Gate_twa
IF overnight = 1 THEN
{
WAIT gate_on()
}
ELSE
{
IF from_remote = 1 THEN
{
WAIT gate_rem()
}
ELSE
{
WAIT gate_arr()
}
}
1
Jet_twa
FIRST 1
EXIT
IF count_twa >=
taxi_out
IF count_twa < 5
Departures
FIRST 1
5, 1
Jet_twa
taxi_out
Jet_twa
Departures
Jet_twa
WAIT T(5.9, 9.8, 18.2, 1)
1
Jet_twa
arr_dep = 1
VI
Jet_twa
Jet_un
Remote_1_twa
Arrivals_un
Jet_un
Runway
Jet_un
Jet_un
1
Jet_twa Runway
from_remote = 1
1
Jet_twa Gate_twa
#arr_dep=0 is arrival, 1 is departure
arr_dep = 0
count_un = ENTRIES(Arrivals_un)
FIRST 1
FIRST 1
1
Jet_un
Runway
FIRST 1
1
Jet_un
Jet_un
Jet_un
wait_for_gate IF arr_dep=0, 1
EXIT
IF arr_dep=1
Gate_un
FIRST 1
IF arr_dep = 0 THEN
{
WAIT 1
}
ELSE
{
WAIT 2
}
wait_for_gate
1
Gate_un
IF overnight = 1 THEN
{
WAIT gate_on()
}
ELSE
{
IF from_remote = 1 THEN
{
WAIT gate_rem()
}
ELSE
{
WAIT gate_arr()
}
}
1
Jet_un
Remote_1_un
IF count_un >=
8, 1
Jet_un
taxi_out
Jet_un
Departures
Jet_un
Jet_us
Remote_1_un
Arrivals_us
Jet_us
Runway
Jet_us
Jet_us
Jet_un
taxi_out
WAIT T(5.9, 9.8, 18.2, 1)
1
Jet_un
Departures
arr_dep = 1
1
Jet_un
Runway
from_remote = 1
1
Jet_un
Gate_un
#arr_dep=0 is arrival, 1 is departure
arr_dep = 0
count_us = ENTRIES(Arrivals_us)
IF arr_dep = 0 THEN
{
WAIT 1
}
ELSE
{
WAIT 2
}
IF count_un < 8
FIRST 1
FIRST 1
FIRST 1
1
Jet_us
Runway
1
Jet_us
Jet_us
Jet_us
wait_for_gate IF arr_dep=0, 1
EXIT
IF arr_dep=1
Gate_us
FIRST 1
wait_for_gate
1
Gate_us
IF overnight = 1 THEN
{
WAIT gate_on()
}
ELSE
{
IF from_remote = 1 THEN
{
WAIT gate_rem()
}
ELSE
{
WAIT gate_arr()
}
}
VII
FIRST 1
1
Jet_us
EXIT
IF count_us >=
taxi_out
IF count_us < 29
Departures
FIRST 1
Runway
Gate_us
FIRST 1
FIRST 1
29, 1
Jet_us
taxi_out
Jet_us
Departures
Jet_us
Remote_1_us
Jet_us
WAIT T(5.9, 9.8, 18.2, 1)
1
Jet_us
arr_dep = 1
1
Jet_us
from_remote = 1
1
Jet_us
********************************************************************************
*
Arrivals
*
********************************************************************************
Entity
-------Jet_aa
Jet_aa
Jet_aa
Jet_aa
Jet_aa
Jet_aa
Jet_aa
Jet_aa
Jet_aa
Jet_aa
Jet_aa
Jet_aa
Jet_aa
Jet_aa
Jet_aa
Jet_aa
Jet_aa
Jet_aa
Location
-----------Arrivals_aa
Arrivals_aa
Arrivals_aa
Arrivals_aa
Arrivals_aa
Arrivals_aa
Arrivals_aa
Arrivals_aa
Arrivals_aa
Arrivals_aa
Arrivals_aa
Arrivals_aa
Arrivals_aa
Arrivals_aa
Arrivals_aa
Arrivals_aa
Arrivals_aa
Gate_aa
Qty each
---------1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
5
First Time
-----------3 HR 29 MIN
4 HR 28 MIN
8 HR 10 MIN
9 HR 5 MIN
10 HR 14 MIN
11 HR 46 MIN
12 HR 24 MIN
12 HR 29 MIN
13 HR 29 MIN
14 HR 32 MIN
14 HR 50 MIN
16 HR 17 MIN
17 HR 17 MIN
17 HR 50 MIN
18 HR 38 MIN
18 HR 38 MIN
20 HR 13 MIN
0
Occurrences Frequency Logic
----------- ---------- -----------1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
overnight = 1
Jet_aa
Remote_aa
2
0
1
from_remote = 1
Jet_aw
Jet_aw
Jet_aw
Jet_aw
Jet_aw
Jet_aw
Arrivals_aw
Arrivals_aw
Arrivals_aw
Arrivals_aw
Arrivals_aw
Gate_aw
1
1
1
1
1
1
2 HR 24 MIN
5 HR 58 MIN
10 HR 52 MIN
14 HR 35 MIN
17 HR 9 MIN
0
1
1
1
1
1
1
overnight = 1
Jet_ac
Jet_ac
Jet_ac
Jet_ac
Jet_ac
Jet_ac
Jet_ac
Jet_ac
Jet_ac
Jet_ac
Arrivals_ac
Arrivals_ac
Arrivals_ac
Arrivals_ac
Arrivals_ac
Arrivals_ac
Arrivals_ac
Arrivals_ac
Arrivals_ac
Gate_ac
1
1
1
1
1
1
1
1
1
1
4 HR 44 MIN
5 HR 7 MIN
9 HR 10 MIN
9 HR 54 MIN
12 HR 24 MIN
13 HR 55 MIN
15 HR 40 MIN
15 HR 44 MIN
17 HR 28 MIN
0
1
1
1
1
1
1
1
1
1
1
Jet_ac
Remote_1_ac
1
0
1
from_remote = 1
Jet_co
Jet_co
Jet_co
Jet_co
Jet_co
Jet_co
Jet_co
Jet_co
Jet_co
Jet_co
Jet_co
Jet_co
Arrivals_co
Arrivals_co
Arrivals_co
Arrivals_co
Arrivals_co
Arrivals_co
Arrivals_co
Arrivals_co
Arrivals_co
Arrivals_co
Arrivals_co
Gate_co
1
1
1
1
1
1
1
1
1
1
1
2
4 HR 7 MIN
4 HR 30 MIN
7 HR
7 HR 30 MIN
8 HR 55 MIN
11 HR 4 MIN
11 HR 41 MIN
14 HR 9 MIN
16 HR 50 MIN
18 HR 1 MIN
18 HR 20 MIN
0
1
1
1
1
1
1
1
1
1
1
1
1
overnight = 1
Jet_co
Remote_1_co
1
0
1
from_remote = 1
VIII
1
1
overnight = 1
Jet_dl
Jet_dl
Jet_dl
Jet_dl
Jet_dl
Jet_dl
Jet_dl
Jet_dl
Jet_dl
Jet_dl
Jet_dl
Jet_dl
Jet_dl
Jet_dl
Jet_dl
Jet_dl
Jet_dl
Jet_dl
Jet_dl
Jet_dl
Jet_dl
Arrivals_dl
Arrivals_dl
Arrivals_dl
Arrivals_dl
Arrivals_dl
Arrivals_dl
Arrivals_dl
Arrivals_dl
Arrivals_dl
Arrivals_dl
Arrivals_dl
Arrivals_dl
Arrivals_dl
Arrivals_dl
Arrivals_dl
Arrivals_dl
Arrivals_dl
Arrivals_dl
Arrivals_dl
Arrivals_dl
Gate_dl
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
4
4 HR 9 MIN
4 HR 45 MIN
5 HR 53 MIN
7 HR 41 MIN
8 HR 10 MIN
8 HR 20 MIN
8 HR 50 MIN
10 HR 40 MIN
11 HR 5 MIN
11 HR 5 MIN
11 HR 25 MIN
11 HR 38 MIN
13 HR 37 MIN
14 HR
15 HR 15 MIN
15 HR 41 MIN
15 HR 55 MIN
16 HR 21 MIN
17 HR 55 MIN
19 HR 15 MIN
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Jet_dl
Remote_1_dl
2
0
1
from_remote = 1
Jet_mid
Jet_mid
Jet_mid
Jet_mid
Jet_mid
Jet_mid
Jet_mid
Arrivals_mid
Arrivals_mid
Arrivals_mid
Arrivals_mid
Arrivals_mid
Arrivals_mid
Gate_mid
1
1
1
1
1
1
1
5 HR 19 MIN
6 HR 56 MIN
9 HR 10 MIN
11 HR 11 MIN
14 HR 44 MIN
17 HR 6 MIN
0
1
1
1
1
1
1
1
overnight = 1
Jet_nw
Jet_nw
Jet_nw
Jet_nw
Jet_nw
Jet_nw
Jet_nw
Jet_nw
Jet_nw
Arrivals_nw
Arrivals_nw
Arrivals_nw
Arrivals_nw
Arrivals_nw
Arrivals_nw
Arrivals_nw
Arrivals_nw
Gate_nw
1
1
1
1
1
1
1
1
2
3 HR 20 MIN
5 HR 59 MIN
7 HR 13 MIN
10 HR 23 MIN
11 HR 36 MIN
13 HR 59 MIN
17 HR 34 MIN
18 HR 4 MIN
0
1
1
1
1
1
1
1
1
1
overnight = 1
Jet_sw
Jet_sw
Jet_sw
Jet_sw
Jet_sw
Jet_sw
Jet_sw
Jet_sw
Jet_sw
Jet_sw
Jet_sw
Jet_sw
Jet_sw
Jet_sw
Arrivals_sw
Arrivals_sw
Arrivals_sw
Arrivals_sw
Arrivals_sw
Arrivals_sw
Arrivals_sw
Arrivals_sw
Arrivals_sw
Arrivals_sw
Arrivals_sw
Arrivals_sw
Arrivals_sw
Gate_sw
1
1
1
1
1
1
1
1
1
1
1
1
1
2
3 HR 55 MIN
5 HR 25 MIN
6 HR 40 MIN
7 HR 35 MIN
10 HR 20 MIN
12 HR
12 HR 40 MIN
13 HR 25 MIN
15 HR 5 MIN
16 HR 20 MIN
17 HR
17 HR 40 MIN
18 HR 5 MIN
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
overnight = 1
Jet_sw
Remote_1_sw
2
0
1
from_remote = 1
Jet_twa
Jet_twa
Jet_twa
Jet_twa
Jet_twa
Jet_twa
Jet_twa
Jet_twa
Arrivals_twa
Arrivals_twa
Arrivals_twa
Arrivals_twa
Arrivals_twa
Arrivals_twa
Arrivals_twa
Gate_twa
1
1
1
1
1
1
1
1
8 HR 23 MIN
10 HR 34 MIN
11 HR 26 MIN
13 HR 37 MIN
14 HR 7 MIN
16 HR
17 HR 28 MIN
0
1
1
1
1
1
1
1
1
overnight = 1
Jet_twa
Remote_1_twa 2
0
1
from_remote = 1
Jet_un
Arrivals_un
4 HR 1 MIN
1
1
IX
1
1
1
overnight = 1
Jet_un
Jet_un
Jet_un
Jet_un
Jet_un
Jet_un
Jet_un
Jet_un
Jet_un
Jet_un
Jet_un
Arrivals_un
Arrivals_un
Arrivals_un
Arrivals_un
Arrivals_un
Arrivals_un
Arrivals_un
Arrivals_un
Arrivals_un
Arrivals_un
Gate_un
1
1
1
1
1
1
1
1
1
1
2
5 HR 22 MIN
7 HR 18 MIN
8 HR 43 MIN
11 HR 20 MIN
13 HR 51 MIN
14 HR 58 MIN
16 HR 23 MIN
16 HR 48 MIN
18 HR 21 MIN
18 HR 58 MIN
0
1
1
1
1
1
1
1
1
1
1
1
overnight = 1
Jet_un
Remote_1_un
2
0
1
from_remote = 1
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Jet_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Arrivals_us
Gate_us
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
5
2 HR 40 MIN
2 HR 53 MIN
3 HR
3 HR 37 MIN
4 HR 29 MIN
4 HR 35 MIN
6 HR 1 MIN
6 HR 15 MIN
6 HR 25 MIN
6 HR 40 MIN
7 HR 6 MIN
8 HR 12 MIN
9 HR
9 HR 6 MIN
9 HR 19 MIN
9 HR 39 MIN
9 HR 57 MIN
10 HR 21 MIN
11 HR 14 MIN
11 HR 35 MIN
11 HR 49 MIN
12 HR 17 MIN
12 HR 23 MIN
12 HR 41 MIN
13 HR 18 MIN
13 HR 25 MIN
13 HR 44 MIN
14 HR 50 MIN
14 HR 55 MIN
15 HR 42 MIN
16 HR
16 HR 34 MIN
17 HR 3 MIN
17 HR 21 MIN
17 HR 50 MIN
17 HR 58 MIN
18 HR 49 MIN
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Jet_us
Remote_1_us
4
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
overnight = 1
from_remote = 1
********************************************************************************
*
Attributes
*
********************************************************************************
ID
----------arr_dep
overnight
from_remote
count_aa
count_aw
count_ac
count_co
count_dl
count_mid
Type
-----------Integer
Integer
Integer
Integer
Integer
Integer
Integer
Integer
Integer
Classification
-------------Entity
Entity
Entity
Entity
Entity
Entity
Entity
Entity
Entity
X
count_nw
count_sw
count_twa
count_un
count_us
Integer
Integer
Integer
Integer
Integer
Entity
Entity
Entity
Entity
Entity
********************************************************************************
*
User Distributions
*
********************************************************************************
ID
Type
Cumulative
Percentage
---------- ------------ ------------ -----------ll
Continuous
No
0
0.55
1.64
17.21
36.6
21.86
7.38
4.37
4.10
1.91
2.19
0
0.55
0.55
0.82
0.27
gate_on
Continuous
No
0
16.67
21.79
6.41
10.26
14.1
6.41
2.56
11.54
3.85
1.28
0
5.13
gate_rem
Continuous
No
0
6.25
2.08
10.42
16.66
4.17
12.5
10.42
6.25
12.5
2.08
6.25
10.42
gate_arr
Continuous
No
0
3.59
13.73
25.16
15.37
16.35
8.82
6.54
3.59
2.61
1.63
0.65
1.63
0.33
Value
------------41
-30
-20
-10
0
10
20
30
40
50
60
70
80
90
100
110
52
62
72
82
92
102
112
122
132
142
152
162
172
30
40
50
60
70
80
90
100
110
120
130
140
150
4
14
24
34
44
54
64
74
84
94
104
114
124
134
********************************************************************************
*
Streams
*
XI
********************************************************************************
Stream #
Seed #
Reset
------------ ------------ -----------1
10
No
********************************************************************************
********************************************************************************
********************************************************************************
B. Input text file for modified model that has double the arrivals using an arrival table with even
distribution throughout the day:
********************************************************************************
*
*
*
Formatted Listing of Model:
*
*
C:\Jenifer\airport_all_double_even.MOD
*
*
*
********************************************************************************
Time Units:
Distance Units:
Initialization Logic:
Minutes
Feet
********************************************************************************
*
Locations
*
********************************************************************************
Name
------------Arrivals_aa
Arrivals_aw
Arrivals_ac
Arrivals_co
Arrivals_dl
Arrivals_mid
Arrivals_nw
Arrivals_sw
Arrivals_twa
Arrivals_un
Arrivals_us
Runway
wait_for_gate
Gate_aa
Remote_aa
Gate_aw
Gate_ac
Remote_1_ac
Gate_co
Remote_1_co
Gate_dl
Remote_1_dl
Gate_mid
Gate_nw
Gate_sw
Remote_1_sw
Departures
Gate_twa
Remote_1_twa
Gate_un
Remote_1_un
Gate_us
Remote_1_us
taxi_out
Cap
-------INF
INF
INF
INF
INF
INF
INF
INF
INF
INF
INF
1
INF
5
2
1
1
1
2
1
4
2
1
2
2
2
INF
1
2
2
2
5
4
INFINITE
Units
----1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Stats
----------Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Rules
Cost
-------------- -----------Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, FIFO,
********************************************************************************
*
Entities
*
********************************************************************************
XII
Name
---------Jet_aa
Jet_aw
Jet_ac
Jet_co
Jet_dl
Jet_mid
Jet_nw
Jet_sw
Jet_twa
Jet_un
Jet_us
Speed (fpm)
-----------0
0
0
0
0
0
0
0
0
0
0
Stats
Cost
----------- -----------Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
********************************************************************************
*
Processing
*
********************************************************************************
Process
Routing
Entity
Location
Operation
Blk Output
Destination
Rule
Move Logic
-------- ------------- --------------------- -------- ------------- -------------------- -----------Jet_aa
Arrivals_aa
#arr_dep=0 is arrival, 1 is departure
arr_dep = 0
count_aa = ENTRIES(Arrivals_aa)
WAIT 2
1
1
Jet_aa
Jet_aa
Jet_aa
Jet_aa
Jet_aa
Runway
Jet_aa
Jet_aa
wait_for_gate
1
Gate_aa
IF overnight = 1 THEN
{
WAIT gate_on()
}
ELSE
{
IF from_remote = 1 THEN
{
WAIT gate_rem()
}
ELSE
{
WAIT gate_arr()
}
}
1
Jet_aa
Runway
wait_for_gate
EXIT
Gate_aa
FIRST 1
IF arr_dep=0, 1
IF arr_dep=1
FIRST 1
EXIT
IF count_aa
>=28, 1
Jet_aa
taxi_out
WAIT T(5.9, 9.8, 18.2, 1)
1
Jet_aa
Departures
arr_dep = 1
1
Jet_aa
Runway
from_remote = 1
1
Jet_aa
Gate_aa
#arr_dep=0 is arrival, 1 is departure
arr_dep = 0
count_aw = ENTRIES(Arrivals_aw)
Jet_aa
taxi_out
Jet_aa
Departures
Jet_aa
Remote_aa
Jet_aw
Arrivals_aw
Jet_aw
Runway
Jet_aw
Jet_aw
wait_for_gate
1
Gate_aw
IF overnight = 1 THEN
{
WAIT gate_on()
}
WAIT 2
1
1
XIII
Jet_aw
Jet_aw
Jet_aw
Jet_aw
Runway
wait_for_gate
EXIT
Gate_aw
IF count_aa < 28
FIRST 1
FIRST 1
FIRST 1
FIRST 1
IF arr_dep=0, 1
IF arr_dep=1
FIRST 1
ELSE
{
IF from_remote = 1 THEN
{
WAIT gate_rem()
}
ELSE
{
WAIT gate_arr()
}
}
1
Jet_aw
EXIT
IF count_aw =
10, 1
Jet_aw
taxi_out
WAIT T(5.9, 9.8, 18.2, 1)
1
Jet_aw
Departures
arr_dep = 1
1
Jet_aw
Runway
#arr_dep=0 is arrival, 1 is departure
arr_dep = 0
count_ac = ENTRIES(Arrivals_ac)
Jet_aw
taxi_out
Jet_aw
Departures
Jet_ac
Arrivals_ac
Jet_ac
Runway
Jet_ac
Jet_ac
wait_for_gate
1
Gate_ac
IF overnight = 1 THEN
{
WAIT gate_on()
}
ELSE
{
IF from_remote = 1 THEN
{
WAIT gate_rem()
}
ELSE
{
WAIT gate_arr()
}
}
1
Jet_ac
WAIT 2
1
1
Jet_ac
Jet_ac
Jet_ac
Jet_ac
IF count_aw <10
FIRST 1
FIRST 1
Runway
wait_for_gate
EXIT
Gate_ac
FIRST 1
IF arr_dep=0, 1
IF arr_dep=1
FIRST 1
EXIT
IF count_ac
>=17, 1
Jet_ac
taxi_out
WAIT T(5.9, 9.8, 18.2, 1)
1
Jet_ac
Departures
arr_dep = 1
1
Jet_ac
Runway
from_remote = 1
1
Jet_ac
Gate_ac
#arr_dep=0 is arrival, 1 is departure
arr_dep = 0
count_co = ENTRIES(Arrivals_co)
Jet_ac
taxi_out
Jet_ac
Departures
Jet_ac
Jet_co
Remote_1_ac
Arrivals_co
Jet_co
Runway
Jet_co
Jet_co
wait_for_gate
1
Gate_co
IF overnight = 1 THEN
{
WAIT gate_on()
}
ELSE
{
IF from_remote = 1 THEN
{
WAIT gate_rem()
}
ELSE
{
WAIT gate_arr()
}
WAIT 2
1
1
XIV
Jet_co
Jet_co
Jet_co
Jet_co
Runway
wait_for_gate
EXIT
Gate_co
IF count_ac < 17
FIRST 1
FIRST 1
FIRST 1
FIRST 1
IF arr_dep=0, 1
IF arr_dep=1
FIRST 1
}
1
Jet_co
EXIT
IF count_co
>=20, 1
Jet_co
taxi_out
WAIT T(5.9, 9.8, 18.2, 1)
1
Jet_co
Departures
arr_dep = 1
1
Jet_co
Runway
from_remote = 1
1
Jet_co
Gate_co
#arr_dep=0 is arrival, 1 is departure
arr_dep = 0
count_dl = ENTRIES(Arrivals_dl)
Jet_co
taxi_out
Jet_co
Departures
Jet_co
Jet_dl
Remote_1_co
Arrivals_dl
Jet_dl
Runway
Jet_dl
Jet_dl
wait_for_gate
1
Gate_dl
IF overnight = 1 THEN
{
WAIT gate_on()
}
ELSE
{
IF from_remote = 1 THEN
{
WAIT gate_rem()
}
ELSE
{
WAIT gate_arr()
}
}
1
Jet_dl
WAIT 2
1
1
Jet_dl
Jet_dl
Jet_dl
Jet_dl
IF count_co < 20
FIRST 1
FIRST 1
FIRST 1
Runway
wait_for_gate
EXIT
Gate_dl
FIRST 1
IF arr_dep=0, 1
IF arr_dep=1
FIRST 1
EXIT
IF count_dl
>=35, 1
Jet_dl
taxi_out
WAIT T(5.9, 9.8, 18.2, 1)
1
Jet_dl
Departures
arr_dep = 1
1
Jet_dl
Runway
from_remote = 1
1
Jet_dl
Gate_dl
#arr_dep=0 is arrival, 1 is departure
arr_dep = 0
count_mid = ENTRIES(Arrivals_mid)
Jet_dl
taxi_out
Jet_dl
Departures
Jet_dl
Jet_mid
Remote_1_dl
Arrivals_mid
Jet_mid
Runway
Jet_mid
Jet_mid
wait_for_gate
1
Gate_mid
IF overnight = 1 THEN
{
WAIT gate_on()
}
ELSE
{
IF from_remote = 1 THEN
{
WAIT gate_rem()
}
ELSE
{
WAIT gate_arr()
}
}
1
Jet_mid
WAIT 2
1
1
Jet_mid
Jet_mid
Jet_mid
Jet_mid
IF count_dl < 35
FIRST 1
FIRST 1
FIRST 1
Runway
wait_for_gate
EXIT
Gate_mid
FIRST 1
IF arr_dep=0, 1
IF arr_dep=1
FIRST 1
EXIT
IF count_mid =
taxi_out
IF count_mid <
Departures
FIRST 1
Runway
FIRST 1
12, 1
Jet_mid
12
Jet_mid
Jet_mid
taxi_out
Departures
WAIT T(5.9, 9.8, 18.2, 1)
1
Jet_mid
arr_dep = 1
1
Jet_mid
XV
Jet_nw
Arrivals_nw
#arr_dep=0 is arrival, 1 is departure
arr_dep = 0
count_nw = ENTRIES(Arrivals_nw)
Jet_nw
Runway
WAIT 2
Jet_nw
Jet_nw
wait_for_gate
1
Gate_nw
IF overnight = 1 THEN
{
WAIT gate_on()
}
ELSE
{
IF from_remote = 1 THEN
{
WAIT gate_rem()
}
ELSE
{
WAIT gate_arr()
}
}
1
Jet_nw
1
1
Jet_nw
Jet_nw
Jet_nw
Jet_nw
Runway
wait_for_gate
EXIT
Gate_nw
FIRST 1
IF arr_dep=0, 1
IF arr_dep=1
FIRST 1
EXIT
IF count_nw >=
15, 1
Jet_nw
taxi_out
WAIT T(5.9, 9.8, 18.2, 1)
1
Jet_nw
Departures
arr_dep = 1
1
Jet_nw
Runway
#arr_dep=0 is arrival, 1 is departure
arr_dep = 0
count_sw = ENTRIES(Arrivals_sw)
Jet_nw
taxi_out
Jet_nw
Departures
Jet_sw
Arrivals_sw
Jet_sw
Runway
Jet_sw
Jet_sw
wait_for_gate
1
Gate_sw
IF overnight = 1 THEN
{
WAIT gate_on()
}
ELSE
{
IF from_remote = 1 THEN
{
WAIT gate_rem()
}
ELSE
{
WAIT gate_arr()
}
}
1
Jet_sw
WAIT 2
1
1
Jet_sw
Jet_sw
Jet_sw
Jet_sw
IF count_nw < 15
FIRST 1
FIRST 1
Runway
wait_for_gate
EXIT
Gate_sw
FIRST 1
IF arr_dep=0, 1
IF arr_dep=1
FIRST 1
EXIT
IF count_sw
>=23, 1
Jet_sw
taxi_out
WAIT T(5.9, 9.8, 18.2, 1)
1
Jet_sw
Departures
arr_dep = 1
1
Jet_sw
Runway
from_remote = 1
1
Jet_sw
Gate_sw
#arr_dep=0 is arrival, 1 is departure
arr_dep = 0
count_twa = ENTRIES(Arrivals_twa)
Jet_sw
taxi_out
Jet_sw
Departures
Jet_sw
Jet_twa
Remote_1_sw
Arrivals_twa
Jet_twa
Runway
Jet_twa
Jet_twa
wait_for_gate
1
Gate_twa
IF overnight = 1 THEN
{
WAIT 2
1
1
XVI
Jet_twa
Jet_twa
Jet_twa
Jet_twa
Runway
wait_for_gate
EXIT
Gate_twa
IF count_sw < 23
FIRST 1
FIRST 1
FIRST 1
FIRST 1
IF arr_dep=0, 1
IF arr_dep=1
FIRST 1
WAIT gate_on()
}
ELSE
{
IF from_remote = 1 THEN
{
WAIT gate_rem()
}
ELSE
{
WAIT gate_arr()
}
}
1
Jet_twa
EXIT
IF count_twa >=
taxi_out
IF count_twa <
12, 1
Jet_twa
12
Jet_twa
taxi_out
WAIT T(5.9, 9.8, 18.2, 1)
1
Jet_twa Departures
arr_dep = 1
1
Jet_twa Runway
from_remote = 1
1
Jet_twa Gate_twa
#arr_dep=0 is arrival, 1 is departure
arr_dep = 0
count_un = ENTRIES(Arrivals_un)
Jet_twa
Departures
Jet_twa
Jet_un
Remote_1_twa
Arrivals_un
Jet_un
Runway
Jet_un
Jet_un
wait_for_gate
1
Gate_un
IF overnight = 1 THEN
{
WAIT gate_on()
}
ELSE
{
IF from_remote = 1 THEN
{
WAIT gate_rem()
}
ELSE
{
WAIT gate_arr()
}
}
1
Jet_un
WAIT 2
1
1
Jet_un
Jet_un
Jet_un
Jet_un
FIRST 1
FIRST 1
FIRST 1
Runway
wait_for_gate
EXIT
Gate_un
FIRST 1
IF arr_dep=0, 1
IF arr_dep=1
FIRST 1
EXIT
IF count_un >=
19, 1
Jet_un
taxi_out
WAIT T(5.9, 9.8, 18.2, 1)
1
Jet_un
Departures
arr_dep = 1
1
Jet_un
Runway
from_remote = 1
1
Jet_un
Gate_un
#arr_dep=0 is arrival, 1 is departure
arr_dep = 0
count_us = ENTRIES(Arrivals_us)
Jet_un
taxi_out
Jet_un
Departures
Jet_un
Jet_us
Remote_1_un
Arrivals_us
Jet_us
Runway
Jet_us
Jet_us
wait_for_gate
1
Gate_us
IF overnight = 1 THEN
{
WAIT gate_on()
}
ELSE
{
IF from_remote = 1 THEN
{
WAIT gate_rem()
}
WAIT 2
1
1
XVII
Jet_us
Jet_us
Jet_us
Jet_us
Runway
wait_for_gate
EXIT
Gate_us
IF count_un < 19
FIRST 1
FIRST 1
FIRST 1
FIRST 1
IF arr_dep=0, 1
IF arr_dep=1
FIRST 1
ELSE
{
WAIT gate_arr()
}
}
1
Jet_us
EXIT
IF count_us >=
taxi_out
IF count_us < 66
Departures
FIRST 1
Runway
Gate_us
FIRST 1
FIRST 1
66, 1
Jet_us
taxi_out
Jet_us
Departures
Jet_us
Remote_1_us
Jet_us
WAIT T(5.9, 9.8, 18.2, 1)
1
Jet_us
arr_dep = 1
1
Jet_us
from_remote = 1
1
Jet_us
********************************************************************************
*
Arrivals
*
********************************************************************************
Entity
-------Jet_aa
Jet_aa
Location
-----------Arrivals_aa
Gate_aa
Qty each
---------------34; all_airlines
5
First Time
---------0
0
Occurrences Frequency Logic
----------- ---------- -----------1
24 HR
1
overnight = 1
Jet_aa
Remote_aa
2
0
1
Jet_aw
Jet_aw
Arrivals_aw
Gate_aw
10; all_airlines 0
1
0
1
1
24 HR
Jet_ac
Jet_ac
Arrivals_ac
Gate_ac
18; all_airlines 0
1
0
1
1
24 HR
Jet_ac
Remote_1_ac
1
0
1
Jet_co
Jet_co
Arrivals_co
Gate_co
22; all_airlines 0
2
0
1
1
Jet_co
Remote_1_co
1
0
1
Jet_dl
Jet_dl
Arrivals_dl
Gate_dl
40; all_airlines 0
4
0
1
1
Jet_dl
Remote_1_dl
2
0
1
Jet_mid
Jet_mid
Arrivals_mid 12; all_airlines 0
Gate_mid
1
0
1
1
24 HR
Jet_nw
Jet_nw
Arrivals_nw
Gate_nw
16; all_airlines 0
2
0
1
1
24 HR
Jet_sw
Jet_sw
Arrivals_sw
Gate_sw
26; all_airlines 0
2
0
1
1
24 HR
Jet_sw
Remote_1_sw
2
0
1
Jet_twa
Jet_twa
Arrivals_twa 14; all_airlines 0
Gate_twa
1
0
1
1
Jet_twa
Remote_1_twa 2
0
1
Jet_un
Jet_un
Arrivals_un
Gate_un
22; all_airlines 0
2
0
1
1
Jet_un
Remote_1_un
2
1
from_remote =
1
overnight = 1
overnight = 1
from_remote =
1
24 HR
overnight = 1
from_remote =
1
24 HR
overnight = 1
from_remote =
1
overnight = 1
overnight = 1
overnight = 1
from_remote =
1
24 HR
overnight = 1
from_remote =
1
0
1
XVIII
24 HR
overnight = 1
from_remote =
Jet_us
Jet_us
Arrivals_us
Gate_us
74; all_airlines 0
5
0
1
1
Jet_us
Remote_1_us
4
1
0
24 HR
overnight = 1
from_remote =
1
********************************************************************************
*
Attributes
*
********************************************************************************
ID
----------arr_dep
overnight
from_remote
count_aa
count_aw
count_ac
count_co
count_dl
count_mid
count_nw
count_sw
count_twa
count_un
count_us
Type
-----------Integer
Integer
Integer
Integer
Integer
Integer
Integer
Integer
Integer
Integer
Integer
Integer
Integer
Integer
Classification
-------------Entity
Entity
Entity
Entity
Entity
Entity
Entity
Entity
Entity
Entity
Entity
Entity
Entity
Entity
********************************************************************************
*
Arrival Cycles
*
********************************************************************************
ID
Qty / %
Cumulative
Time (Hours)
------------ ------------ ------------ -----------all_airlines Percent
No
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
Value
-----------0
5.26
5.26
5.26
5.26
5.26
5.26
5.26
5.27
5.27
5.27
5.27
5.27
5.27
5.26
5.26
5.26
5.26
5.26
5.26
********************************************************************************
*
User Distributions
*
********************************************************************************
ID
Type
Cumulative
Percentage
---------- ------------ ------------ -----------ll
Continuous
No
0
0.55
1.64
17.21
36.6
21.86
7.38
4.37
4.10
1.91
2.19
XIX
Value
------------41
-30
-20
-10
0
10
20
30
40
50
60
gate_on
Continuous
No
gate_rem
Continuous
No
gate_arr
Continuous
No
0
0.55
0.55
0.82
0.27
0
16.67
21.79
6.41
10.26
14.1
6.41
2.56
11.54
3.85
1.28
0
5.13
0
6.25
2.08
10.42
16.66
4.17
12.5
10.42
6.25
12.5
2.08
6.25
10.42
0
3.59
13.73
25.16
15.37
16.35
8.82
6.54
3.59
2.61
1.63
0.65
1.63
0.33
70
80
90
100
110
52
62
72
82
92
102
112
122
132
142
152
162
172
30
40
50
60
70
80
90
100
110
120
130
140
150
4
14
24
34
44
54
64
74
84
94
104
114
124
134
********************************************************************************
*
Streams
*
********************************************************************************
Stream #
Seed #
Reset
------------ ------------ -----------1
10
No
********************************************************************************
********************************************************************************
********************************************************************************
C. Output text file for base model that has scheduled arrivals with variability:
-------------------------------------------------------------------------------General Report
Output from C:\Jenifer\airport_sched_arr.MOD [Base Airport Model - Scheduled Flights with Variability]
Date: Dec/19/2000
Time: 07:46:01 PM
-------------------------------------------------------------------------------Scenario
: Normal Run
Replication
: All
Period
: Final Report (0 sec to 24 hr Elapsed: 24 hr)
Simulation Time : 24 hr
--------------------------------------------------------------------------------
XX
LOCATIONS
Capacity
-------999999
999999
999999
999999
999999
999999
Total
Entries
------17
17
17
17
17
17
Average
Minutes
Per Entry
--------0.79
0.37
0.38
0.58
0.20
0.46
Average
Contents
-------0.00
0.00
0.00
0.00
0.00
0.00
Maximum
Contents
-------2
1
1
1
1
1.2
Current
Contents
-------0
0
0
0
0
0
% Util
-----0.00
0.00
0.00
0.00
0.00
0.00
0
0
0
0.22
0.00
0.44
0
0.00
(Std.
Arrivals aw
Arrivals aw
Arrivals aw
Arrivals aw
Arrivals aw
Arrivals aw
(Average)
Arrivals aw
Dev.)
24
24
24
24
24
24
999999
999999
999999
999999
999999
999999
5
5
5
5
5
5
0.14
0.81
0.18
1.10
0.05
0.46
0.00
0.00
0.00
0.00
0.00
0.00
1
1
1
1
1
1
0
0
0
0
0
0
0.00
0.00
0.00
0.00
0.00
0.00
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
0.46
0.00
0
0
0.00
(Std.
Arrivals ac
Arrivals ac
Arrivals ac
Arrivals ac
Arrivals ac
Arrivals ac
(Average)
Arrivals ac
Dev.)
24
24
24
24
24
24
999999
999999
999999
999999
999999
999999
9
9
9
9
9
9
0.55
0.83
0.97
0.66
0.59
0.72
0.00
0.00
0.00
0.00
0.00
0.00
1
1
1
1
1
1
0
0
0
0
0
0
0.00
0.00
0.00
0.00
0.00
0.00
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
0.17
0.00
0
0
0.00
(Std.
Arrivals co
Arrivals co
Arrivals co
Arrivals co
Arrivals co
Arrivals co
(Average)
Arrivals co
Dev.)
24
24
24
24
24
24
999999
999999
999999
999999
999999
999999
11
11
11
11
11
11
0.07
0.36
0.43
0.29
0.67
0.36
0.00
0.00
0.00
0.00
0.00
0.00
1
1
1
1
1
1
0
0
0
0
0
0
0.00
0.00
0.00
0.00
0.00
0.00
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
0.22
0.00
0
0
0.00
(Std.
Arrivals dl
Arrivals dl
Arrivals dl
Arrivals dl
Arrivals dl
Arrivals dl
(Average)
Arrivals dl
Dev.)
24
24
24
24
24
24
999999
999999
999999
999999
999999
999999
20
20
20
20
20
20
0.47
0.20
0.52
0.56
0.66
0.48
0.00
0.00
0.00
0.00
0.00
0.00
1
1
1
1
2
1.2
0
0
0
0
0
0
0.00
0.00
0.00
0.00
0.00
0.00
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
0.17
0.00
0.44
0
0.00
(Std.
Arrivals mid
Arrivals mid
Arrivals mid
Arrivals mid
Arrivals mid
Arrivals mid
(Average)
Arrivals mid
Dev.)
24
24
24
24
24
24
999999
999999
999999
999999
999999
999999
6
6
6
6
6
6
0.25
0.52
0.29
1.60
0.02
0.53
0.00
0.00
0.00
0.00
0.00
0.00
1
1
1
1
1
1
0
0
0
0
0
0
0.00
0.00
0.00
0.00
0.00
0.00
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
0.62
0.00
0
0
0.00
(Std.
Arrivals nw
Arrivals nw
Arrivals nw
Arrivals nw
Arrivals nw
Arrivals nw
(Average)
Arrivals nw
Dev.)
24
24
24
24
24
24
999999
999999
999999
999999
999999
999999
8
8
8
8
8
8
0.50
0.47
0.96
0.36
0.41
0.54
0.00
0.00
0.00
0.00
0.00
0.00
1
1
1
1
1
1
0
0
0
0
0
0
0.00
0.00
0.00
0.00
0.00
0.00
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
0.23
0.00
0
0
0.00
(Std.
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
24
24
24
24
24
999999
999999
999999
999999
999999
13
13
13
13
13
1.07
0.05
0.60
0.52
0.62
0.00
0.00
0.00
0.00
0.00
2
1
1
1
1
0
0
0
0
0
0.00
0.00
0.00
0.00
0.00
(Rep
(Rep
(Rep
(Rep
(Rep
Location
Name
------------Arrivals aa
Arrivals aa
Arrivals aa
Arrivals aa
Arrivals aa
Arrivals aa
(Average)
Arrivals aa
Dev.)
sw
sw
sw
sw
sw
Scheduled
Hours
--------24
24
24
24
24
24
XXI
(Rep
(Rep
(Rep
(Rep
(Rep
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
Arrivals sw
(Average)
Arrivals sw
Dev.)
24
999999
13
0.57
0.00
1.2
0
0.00
0
0
0
0.36
0.00
0.44
0
0.00
(Std.
Arrivals twa
Arrivals twa
Arrivals twa
Arrivals twa
Arrivals twa
Arrivals twa
(Average)
Arrivals twa
Dev.)
24
24
24
24
24
24
999999
999999
999999
999999
999999
999999
7
7
7
7
7
7
0.41
0.03
1.13
0.63
1.12
0.66
0.00
0.00
0.00
0.00
0.00
0.00
1
1
1
1
1
1
0
0
0
0
0
0
0.00
0.00
0.00
0.00
0.00
0.00
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
0.47
0.00
0
0
0.00
(Std.
Arrivals un
Arrivals un
Arrivals un
Arrivals un
Arrivals un
Arrivals un
(Average)
Arrivals un
Dev.)
24
24
24
24
24
24
999999
999999
999999
999999
999999
999999
11
11
11
11
11
11
0.50
0.34
0.70
1.35
0.43
0.67
0.00
0.00
0.00
0.01
0.00
0.00
1
1
1
2
1
1.2
0
0
0
0
0
0
0.00
0.00
0.00
0.00
0.00
0.00
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
0.40
0.00
0.44
0
0.00
(Std.
Arrivals us
Arrivals us
Arrivals us
Arrivals us
Arrivals us
Arrivals us
(Average)
Arrivals us
Dev.)
24
24
24
24
24
24
999999
999999
999999
999999
999999
999999
37
37
37
37
37
37
0.57
0.28
0.84
0.62
0.63
0.59
0.01
0.00
0.02
0.01
0.01
0.01
2
1
2
1
2
1.6
0
0
0
0
0
0
0.00
0.00
0.00
0.00
0.00
0.00
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
0.20
0.00
0.54
0
0.00
(Std.
Runway
Runway
Runway
Runway
Runway
Runway
(Average)
Runway
Dev.)
24
24
24
24
24
24
1
1
1
1
1
1
288
288
288
288
288
288
1.50
1.50
1.50
1.50
1.50
1.50
0.3
0.3
0.3
0.3
0.3
0.3
1
1
1
1
1
1
0
0
0
0
0
0
30.00
30.00
30.00
30.00
30.00
30.00
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
0.00
0
0
0
0.00
(Std.
wait for gate
wait for gate
wait for gate
wait for gate
wait for gate
wait for gate
(Average)
wait for gate
Dev.)
24
24
24
24
24
24
999999
999999
999999
999999
999999
999999
144
144
144
144
144
144
3.17
1.65
2.06
1.03
2.24
2.03
0.31
0.16
0.20
0.10
0.22
0.20
4
2
3
3
3
3
0
0
0
0
0
0
0.00
0.00
0.00
0.00
0.00
0.00
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
0.78
0.07
0.70
0
0.00
(Std.
Gate aa
Gate aa
Gate aa
Gate aa
Gate aa
Gate aa
(Average)
Gate aa
Dev.)
24
24
24
24
24
24
5
5
5
5
5
5
24
24
24
24
24
24
59.02
52.06
59.23
54.11
80.19
60.92
0.98
0.86
0.98
0.90
1.33
1.01
5
5
5
5
5
5
0
0
0
0
0
0
19.67
17.36
19.75
18.04
26.73
20.31
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
11.21
0.18
0
0
3.74
(Std.
Remote aa
Remote aa
Remote aa
Remote aa
Remote aa
Remote aa
(Average)
Remote aa
Dev.)
24
24
24
24
24
24
2
2
2
2
2
2
2
2
2
2
2
2
60.31
66.75
57.54
62.31
64.04
62.19
0.08
0.09
0.07
0.08
0.08
0.08
2
2
2
2
2
2
0
0
0
0
0
0
4.19
4.64
4.00
4.33
4.45
4.32
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
3.51
0.00
0
0
0.24
(Std.
Gate
Gate
Gate
Gate
Gate
24
24
24
24
24
1
1
1
1
1
6
6
6
6
6
68.33
43.55
46.08
65.95
70.11
0.28
0.18
0.19
0.27
0.29
1
1
1
1
1
0
0
0
0
0
28.47
18.15
19.20
27.48
29.22
(Rep
(Rep
(Rep
(Rep
(Rep
aw
aw
aw
aw
aw
XXII
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
Gate aw
(Average)
Gate aw
Dev.)
24
1
6
58.80
0.24
1
0
24.50
0
0
0
12.88
0.05
0
0
5.37
Gate ac
Gate ac
Gate ac
Gate ac
Gate ac
Gate ac
(Average)
Gate ac
Dev.)
24
24
24
24
24
24
1
1
1
1
1
1
11
11
11
11
11
11
57.07
44.40
65.10
51.21
44.01
52.36
0.43
0.33
0.49
0.39
0.33
0.39
1
1
1
1
1
1
0
0
0
0
0
0
43.60
33.92
49.74
39.12
33.62
40.00
0
0
0
8.93
0.06
0
0
6.82
(Std.
Remote 1 ac
Remote 1 ac
Remote 1 ac
Remote 1 ac
Remote 1 ac
Remote 1 ac
(Average)
Remote 1 ac
Dev.)
24
24
24
24
24
24
1
1
1
1
1
1
1
1
1
1
1
1
92.13
85.65
123.67
71.02
58.17
86.13
0.06
0.05
0.08
0.04
0.04
0.05
1
1
1
1
1
1
0
0
0
0
0
0
6.40
5.95
8.59
4.93
4.04
5.98
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
24.77
0.01
0
0
1.72
(Std.
Gate co
Gate co
Gate co
Gate co
Gate co
Gate co
(Average)
Gate co
Dev.)
24
24
24
24
24
24
2
2
2
2
2
2
14
14
14
14
14
14
51.36
57.64
55.86
63.83
53.63
56.46
0.49
0.56
0.54
0.62
0.52
0.54
2
2
2
2
2
2
0
0
0
0
0
0
24.97
28.02
27.16
31.03
26.07
27.45
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
4.74
0.04
0
0
2.31
(Std.
Remote 1 co
Remote 1 co
Remote 1 co
Remote 1 co
Remote 1 co
Remote 1 co
(Average)
Remote 1 co
Dev.)
24
24
24
24
24
24
1
1
1
1
1
1
1
1
1
1
1
1
63.40
99.55
58.33
90.82
53.51
73.12
0.04
0.06
0.04
0.06
0.03
0.05
1
1
1
1
1
1
0
0
0
0
0
0
4.40
6.91
4.05
6.31
3.72
5.08
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
20.67
0.01
0
0
1.44
(Std.
Gate dl
Gate dl
Gate dl
Gate dl
Gate dl
Gate dl
(Average)
Gate dl
Dev.)
24
24
24
24
24
24
4
4
4
4
4
4
26
26
26
26
26
26
54.90
56.26
48.97
52.65
56.48
53.85
0.99
1.01
0.88
0.95
1.01
0.97
4
4
4
4
4
4
0
0
0
0
0
0
24.78
25.40
22.11
23.77
25.50
24.31
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
3.12
0.05
0
0
1.41
(Std.
Remote 1 dl
Remote 1 dl
Remote 1 dl
Remote 1 dl
Remote 1 dl
Remote 1 dl
(Average)
Remote 1 dl
Dev.)
24
24
24
24
24
24
2
2
2
2
2
2
2
2
2
2
2
2
66.28
76.96
64.58
73.24
69.37
70.08
0.09
0.10
0.08
0.10
0.09
0.09
2
2
2
2
2
2
0
0
0
0
0
0
4.60
5.34
4.48
5.09
4.82
4.87
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
5.06
0.00
0
0
0.35
(Std.
Gate mid
Gate mid
Gate mid
Gate mid
Gate mid
Gate mid
(Average)
Gate mid
Dev.)
24
24
24
24
24
24
1
1
1
1
1
1
7
7
7
7
7
7
61.94
39.61
56.53
75.67
63.58
59.47
0.30
0.19
0.27
0.36
0.30
0.28
1
1
1
1
1
1
0
0
0
0
0
0
30.11
19.26
27.48
36.79
30.91
28.91
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
13.11
0.06
0
0
6.38
(Std.
Gate
Gate
Gate
Gate
Gate
24
24
24
24
24
2
2
2
2
2
10
10
10
10
10
38.00
43.12
52.95
56.66
61.87
0.26
0.29
0.36
0.39
0.42
2
2
2
2
2
0
0
0
0
0
13.20
14.97
18.39
19.68
21.49
(Rep
(Rep
(Rep
(Rep
(Rep
nw
nw
nw
nw
nw
XXIII
(Std.
(Rep
(Rep
(Rep
(Rep
(Rep
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
Gate nw
(Average)
Gate nw
Dev.)
24
2
10
50.52
0.35
2
0
17.54
0
0
0
9.79
0.06
0
0
3.40
(Std.
Gate sw
Gate sw
Gate sw
Gate sw
Gate sw
Gate sw
(Average)
Gate sw
Dev.)
24
24
24
24
24
24
2
2
2
2
2
2
17
17
17
17
17
17
50.06
54.56
53.19
56.20
55.84
53.97
0.59
0.64
0.62
0.66
0.65
0.63
2
2
2
2
2
2
0
0
0
0
0
0
29.55
32.21
31.40
33.18
32.96
31.86
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
2.48
0.02
0
0
1.47
(Std.
Remote 1 sw
Remote 1 sw
Remote 1 sw
Remote 1 sw
Remote 1 sw
Remote 1 sw
(Average)
Remote 1 sw
Dev.)
24
24
24
24
24
24
2
2
2
2
2
2
2
2
2
2
2
2
77.90
87.33
114.58
81.33
94.15
91.06
0.10
0.12
0.15
0.11
0.13
0.12
2
2
2
2
2
2
0
0
0
0
0
0
5.41
6.07
7.96
5.65
6.54
6.32
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
14.52
0.02
0
0
1.01
(Std.
Departures
Departures
Departures
Departures
Departures
Departures
(Average)
Departures
Dev.)
24
24
24
24
24
24
999999
999999
999999
999999
999999
999999
144
144
144
144
144
144
0.92
0.66
0.75
0.95
0.60
0.78
0.09
0.06
0.07
0.09
0.06
0.07
6
3
3
5
2
3.8
0
0
0
0
0
0
0.00
0.00
0.00
0.00
0.00
0.00
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
0.15
0.01
1.64
0
0.00
(Std.
Gate twa
Gate twa
Gate twa
Gate twa
Gate twa
Gate twa
(Average)
Gate twa
Dev.)
24
24
24
24
24
24
1
1
1
1
1
1
10
10
10
10
10
10
61.03
56.90
39.27
64.37
60.02
56.32
0.42
0.39
0.27
0.44
0.41
0.39
1
1
1
1
1
1
0
0
0
0
0
0
42.38
39.52
27.27
44.71
41.68
39.11
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
9.89
0.06
0
0
6.87
Remote 1 twa
Remote 1 twa
Remote 1 twa
Remote 1 twa
Remote 1 twa
Remote 1 twa
(Average)
Remote 1 twa
Dev.)
24
24
24
24
24
24
2
2
2
2
2
2
2
2
2
2
2
2
211.09
130.13
103.06
132.13
112.96
137.87
0.29
0.18
0.14
0.18
0.15
0.19
2
2
2
2
2
2
0
0
0
0
0
0
14.66
9.04
7.16
9.18
7.84
9.57
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
42.67
0.05
0
0
2.96
(Std.
Gate un
Gate un
Gate un
Gate un
Gate un
Gate un
(Average)
Gate un
Dev.)
24
24
24
24
24
24
2
2
2
2
2
2
16
19
17
18
17
17.4
94.69
91.12
93.47
92.95
92.89
93.02
1.05
1.20
1.10
1.16
1.09
1.12
2
2
2
2
2
2
2
2
2
2
2
2
52.61
60.12
55.18
58.10
54.84
56.17
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
1.14
1.28
0.05
0
0
2.95
(Std.
Remote 1 un
Remote 1 un
Remote 1 un
Remote 1 un
Remote 1 un
Remote 1 un
(Average)
Remote 1 un
Dev.)
24
24
24
24
24
24
2
2
2
2
2
2
5
8
6
7
6
6.4
134.88
104.03
128.81
116.75
142.65
125.42
0.46
0.57
0.53
0.56
0.59
0.54
2
2
2
2
2
2
2
2
2
2
2
2
23.42
28.90
26.84
28.38
29.72
27.45
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
1.14
15.25
0.04
0
0
2.49
(Std.
Gate
Gate
Gate
Gate
Gate
24
24
24
24
24
5
5
5
5
5
46
46
46
46
46
52.34
53.49
55.05
54.39
57.69
1.67
1.70
1.75
1.73
1.84
5
5
5
5
5
0
0
0
0
0
33.44
34.18
35.18
34.75
36.86
(Rep
(Rep
(Rep
(Rep
(Rep
us
us
us
us
us
XXIV
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
(Std.
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
Gate us
(Average)
Gate us
Dev.)
24
5
46
54.59
1.74
5
0
34.88
0
0
0
2.00
0.06
0
0
1.28
(Std.
Remote 1 us
Remote 1 us
Remote 1 us
Remote 1 us
Remote 1 us
Remote 1 us
(Average)
Remote 1 us
Dev.)
24
24
24
24
24
24
4
4
4
4
4
4
4
4
4
4
4
4
64.10
78.41
76.03
56.43
104.61
75.92
0.17
0.21
0.21
0.15
0.29
0.21
4
4
4
4
4
4
0
0
0
0
0
0
4.45
5.45
5.28
3.92
7.26
5.27
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
18.36
0.05
0
0
1.28
(Std.
taxi out
taxi out
taxi out
taxi out
taxi out
taxi out
(Average)
taxi out
Dev.)
24
24
24
24
24
24
999999
999999
999999
999999
999999
999999
144
144
144
144
144
144
11.53
11.34
11.50
11.35
11.30
11.40
1.15
1.13
1.15
1.13
1.13
1.14
12
8
7
9
8
8.8
0
0
0
0
0
0
0.00
0.00
0.00
0.00
0.00
0.00
(Rep
(Rep
(Rep
(Rep
(Rep
0
0
0
0.10
0.01
1.92
0
0.00
(Std.
LOCATION STATES BY PERCENTAGE (Multiple Capacity)
%
Location
Scheduled
% Partially
%
Name
Hours Empty
Occupied
Full
------------- --------- ----- --------- ----Arrivals aa
24 99.10
0.90
0.00
Arrivals aa
24 99.56
0.44
0.00
Arrivals aa
24 99.55
0.45
0.00
Arrivals aa
24 99.31
0.69
0.00
Arrivals aa
24 99.76
0.24
0.00
Arrivals aa
24 99.45
0.55
0.00
Arrivals aa
0
0.25
0.25
0.00
|
|
|
|
|
|
|
|
|
|
|
%
Down
---0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
aw
aw
aw
aw
aw
aw
aw
24
24
24
24
24
24
0
99.95
99.72
99.94
99.62
99.98
99.84
0.16
0.05
0.28
0.06
0.38
0.02
0.16
0.16
0.00
0.00
0.00
0.00
0.00
0.00
0.00
|
|
|
|
|
|
|
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
ac
ac
ac
ac
ac
ac
ac
24
24
24
24
24
24
0
99.65
99.48
99.39
99.59
99.63
99.55
0.11
0.35
0.52
0.61
0.41
0.37
0.45
0.11
0.00
0.00
0.00
0.00
0.00
0.00
0.00
|
|
|
|
|
|
|
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
co
co
co
co
co
co
co
24
24
24
24
24
24
0
99.94
99.72
99.66
99.78
99.48
99.72
0.17
0.06
0.28
0.34
0.22
0.52
0.28
0.17
0.00
0.00
0.00
0.00
0.00
0.00
0.00
|
|
|
|
|
|
|
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
dl
dl
dl
dl
dl
dl
dl
24
24
24
24
24
24
0
99.34
99.71
99.27
99.22
99.08
99.32
0.24
0.66
0.29
0.73
0.78
0.92
0.68
0.24
0.00
0.00
0.00
0.00
0.00
0.00
0.00
|
|
|
|
|
|
|
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
mid
mid
mid
mid
mid
mid
mid
24
24
24
24
24
24
0
99.90
99.78
99.88
99.33
99.99
99.78
0.26
0.10
0.22
0.12
0.67
0.01
0.22
0.26
0.00
0.00
0.00
0.00
0.00
0.00
0.00
|
|
|
|
|
|
|
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
24
24
24
99.72
99.74
99.47
0.28
0.26
0.53
0.00 | 0.00
0.00 | 0.00
0.00 | 0.00
Arrivals nw
Arrivals nw
Arrivals nw
XXV
(Rep 1)
(Rep 2)
(Rep 3)
1)
2)
3)
4)
5)
1)
2)
3)
4)
5)
Arrivals
Arrivals
Arrivals
Arrivals
nw
nw
nw
nw
24
24
24
0
99.80
99.77
99.70
0.13
0.20
0.23
0.30
0.13
0.00
0.00
0.00
0.00
|
|
|
|
0.00
0.00
0.00
0.00
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
sw
sw
sw
sw
sw
sw
sw
24
24
24
24
24
24
0
99.21
99.95
99.45
99.53
99.43
99.51
0.27
0.79
0.05
0.55
0.47
0.57
0.49
0.27
0.00
0.00
0.00
0.00
0.00
0.00
0.00
|
|
|
|
|
|
|
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
twa
twa
twa
twa
twa
twa
twa
24
24
24
24
24
24
0
99.80
99.98
99.45
99.69
99.45
99.68
0.23
0.20
0.02
0.55
0.31
0.55
0.32
0.23
0.00
0.00
0.00
0.00
0.00
0.00
0.00
|
|
|
|
|
|
|
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
un
un
un
un
un
un
un
24
24
24
24
24
24
0
99.61
99.73
99.46
98.99
99.66
99.49
0.30
0.39
0.27
0.54
1.01
0.34
0.51
0.30
0.00
0.00
0.00
0.00
0.00
0.00
0.00
|
|
|
|
|
|
|
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
us
us
us
us
us
us
us
24
24
24
24
24
24
0
98.75
99.28
97.97
98.39
98.37
98.55
0.49
1.25
0.72
2.03
1.61
1.63
1.45
0.49
0.00
0.00
0.00
0.00
0.00
0.00
0.00
|
|
|
|
|
|
|
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
wait
wait
wait
wait
wait
wait
wait
for
for
for
for
for
for
for
gate
gate
gate
gate
gate
gate
gate
24
24
24
24
24
24
0
78.75
83.40
83.75
90.52
79.38
83.16
4.70
21.25
16.60
16.25
9.48
20.62
16.84
4.70
0.00
0.00
0.00
0.00
0.00
0.00
0.00
|
|
|
|
|
|
|
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Gate
Gate
Gate
Gate
Gate
Gate
Gate
aa
aa
aa
aa
aa
aa
aa
24
24
24
24
24
24
0
44.35
53.81
50.86
50.97
32.58
46.51
8.53
49.52
40.76
42.92
43.89
62.65
47.95
8.83
6.13
5.42
6.22
5.14
4.77
5.54
0.63
|
|
|
|
|
|
|
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
24
24
24
24
24
24
0
95.35
95.03
95.91
95.52
95.40
95.44
0.32
0.93
0.66
0.18
0.30
0.30
0.48
0.31
3.72
4.30
3.90
4.18
4.30
4.08
0.26
|
|
|
|
|
|
|
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Remote
Remote
Remote
Remote
Remote
Remote
Remote
aa
aa
aa
aa
aa
aa
aa
Gate
Gate
Gate
Gate
Gate
Gate
Gate
co
co
co
co
co
co
co
24
24
24
24
24
24
0
61.96
56.43
61.04
57.41
62.78
59.93
2.83
26.15
31.10
23.60
23.11
22.28
25.25
3.57
11.89
12.47
15.36
19.48
14.93
14.83
3.00
|
|
|
|
|
|
|
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Gate
Gate
Gate
Gate
Gate
Gate
Gate
dl
dl
dl
dl
dl
dl
dl
24
24
24
24
24
24
0
55.08
46.59
51.82
44.93
45.75
48.83
4.41
35.25
46.46
42.20
48.13
47.21
43.85
5.32
9.67
6.95
5.98
6.95
7.04
7.32
1.38
|
|
|
|
|
|
|
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
24
24
24
24
95.21
93.43
95.36
93.66
0.37
2.44
0.31
2.51
4.42
4.12
4.33
3.83
|
|
|
|
0.00
0.00
0.00
0.00
(Rep
(Rep
(Rep
(Rep
Remote
Remote
Remote
Remote
1
1
1
1
dl
dl
dl
dl
XXVI
1)
2)
3)
4)
Remote 1 dl
Remote 1 dl
Remote 1 dl
24
24
0
94.23
94.38
0.88
1.91
1.51
1.09
3.86 | 0.00
4.11 | 0.00
0.27 | 0.00
(Rep 5)
(Average)
(Std. Dev.)
Gate
Gate
Gate
Gate
Gate
Gate
Gate
nw
nw
nw
nw
nw
nw
nw
24
24
24
24
24
24
0
77.96
74.52
68.09
64.63
64.86
70.01
5.97
17.68
21.01
27.04
31.38
27.31
24.88
5.47
4.36
4.47
4.87
3.98
7.83
5.10
1.56
|
|
|
|
|
|
|
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Gate
Gate
Gate
Gate
Gate
Gate
Gate
sw
sw
sw
sw
sw
sw
sw
24
24
24
24
24
24
0
56.38
54.70
55.13
49.40
55.42
54.21
2.76
28.14
26.18
26.93
34.84
23.24
27.87
4.30
15.48
19.12
17.94
15.75
21.34
17.93
2.44
|
|
|
|
|
|
|
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
24
24
24
24
24
24
0
93.26
93.30
91.96
92.82
91.24
92.52
0.90
2.66
1.26
0.17
3.06
4.45
2.32
1.65
4.08
5.43
7.87
4.12
4.31
5.16
1.61
|
|
|
|
|
|
|
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Departures
Departures
Departures
Departures
Departures
Departures
Departures
24
24
24
24
24
24
0
94.65
94.30
93.51
93.66
94.51
94.12
0.51
5.35
5.70
6.49
6.34
5.49
5.88
0.51
0.00
0.00
0.00
0.00
0.00
0.00
0.00
|
|
|
|
|
|
|
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Remote
Remote
Remote
Remote
Remote
Remote
Remote
24
24
24
24
24
24
0
82.50
88.51
90.51
85.99
88.25
87.15
3.05
5.67
4.90
4.67
9.67
7.82
6.55
2.14
11.82
6.59
4.82
4.34
3.94
6.30
3.25
|
|
|
|
|
|
|
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
24
24
24
24
24
24
0
35.83
29.87
36.19
32.44
34.04
33.67
2.60
23.13
20.02
17.28
18.93
22.24
20.32
2.39
41.04
50.11
46.54
48.63
43.72
46.01
3.67
|
|
|
|
|
|
|
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
24
24
24
24
24
24
0
74.44
68.13
71.70
69.47
66.39
70.03
3.14
4.28
5.93
2.94
4.31
7.77
5.05
1.86
21.28
25.93
25.37
26.22
25.83
24.93
2.06
|
|
|
|
|
|
|
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
24
24
24
24
24
24
0
34.04
28.77
31.12
30.20
30.45
30.92
1.95
50.83
62.62
58.61
62.37
58.04
58.50
4.77
15.13
8.60
10.26
7.43
11.51
10.59
2.98
|
|
|
|
|
|
|
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
24
24
24
24
24
24
0
95.33
93.55
92.51
95.42
92.31
93.82
1.49
0.83
1.65
3.81
0.95
0.80
1.61
1.28
3.84
4.80
3.68
3.63
6.89
4.57
1.38
|
|
|
|
|
|
|
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
24
24
24
24
24
49.44
49.19
47.62
46.89
46.22
50.56
50.81
52.38
53.11
53.78
0.00
0.00
0.00
0.00
0.00
|
|
|
|
|
0.00
0.00
0.00
0.00
0.00
(Rep
(Rep
(Rep
(Rep
(Rep
Remote
Remote
Remote
Remote
Remote
Remote
Remote
Gate
Gate
Gate
Gate
Gate
Gate
Gate
twa
twa
twa
twa
twa
twa
twa
1
1
1
1
1
1
1
un
un
un
un
un
un
un
us
us
us
us
us
us
us
Remote
Remote
Remote
Remote
Remote
Remote
Remote
taxi
taxi
taxi
taxi
taxi
1
1
1
1
1
1
1
sw
sw
sw
sw
sw
sw
sw
un
un
un
un
un
un
un
Remote
Remote
Remote
Remote
Remote
Remote
Remote
Gate
Gate
Gate
Gate
Gate
Gate
Gate
1
1
1
1
1
1
1
1
1
1
1
1
1
1
out
out
out
out
out
us
us
us
us
us
us
us
XXVII
1)
2)
3)
4)
5)
taxi out
taxi out
24
0
47.87
1.41
52.13
1.41
0.00 | 0.00
0.00 | 0.00
(Average)
(Std. Dev.)
LOCATION STATES BY PERCENTAGE (Single Capacity/Tanks)
Location
Name
----------Runway
Runway
Runway
Runway
Runway
Runway
Runway
Scheduled
Hours
--------24
24
24
24
24
24
0
%
Operation
--------30.00
30.00
30.00
30.00
30.00
30.00
0.00
%
Setup
----0.00
0.00
0.00
0.00
0.00
0.00
0.00
%
Idle
----70.00
70.00
70.00
70.00
70.00
70.00
0.00
%
Waiting
------0.00
0.00
0.00
0.00
0.00
0.00
0.00
%
Blocked
------0.00
0.00
0.00
0.00
0.00
0.00
0.00
%
Down
---0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Gate
Gate
Gate
Gate
Gate
Gate
Gate
aw
aw
aw
aw
aw
aw
aw
24
24
24
24
24
24
0
28.47
18.15
19.20
27.48
29.22
24.50
5.37
0.00
0.00
0.00
0.00
0.00
0.00
0.00
71.53
81.85
80.80
72.52
70.78
75.50
5.37
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Gate
Gate
Gate
Gate
Gate
Gate
Gate
ac
ac
ac
ac
ac
ac
ac
24
24
24
24
24
24
0
43.60
33.92
49.74
39.12
33.62
40.00
6.82
0.00
0.00
0.00
0.00
0.00
0.00
0.00
56.40
66.08
50.26
60.88
66.38
60.00
6.82
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Remote
Remote
Remote
Remote
Remote
Remote
Remote
1
1
1
1
1
1
1
ac
ac
ac
ac
ac
ac
ac
24
24
24
24
24
24
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
93.60
94.05
91.41
95.07
95.96
94.02
1.72
0.00
0.00
0.00
0.00
0.00
0.00
0.00
6.40
5.95
8.59
4.93
4.04
5.98
1.72
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Remote
Remote
Remote
Remote
Remote
Remote
Remote
1
1
1
1
1
1
1
co
co
co
co
co
co
co
24
24
24
24
24
24
0
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
95.60
93.09
95.95
93.69
96.28
94.92
1.43
0.00
0.00
0.00
0.00
0.00
0.00
0.00
4.40
6.91
4.05
6.31
3.72
5.08
1.43
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Gate
Gate
Gate
Gate
Gate
Gate
Gate
mid
mid
mid
mid
mid
mid
mid
24
24
24
24
24
24
0
30.11
19.26
27.48
36.79
30.91
28.91
6.38
0.00
0.00
0.00
0.00
0.00
0.00
0.00
69.89
80.74
72.52
63.21
69.09
71.09
6.38
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Gate
Gate
Gate
Gate
Gate
Gate
Gate
twa
twa
twa
twa
twa
twa
twa
24
24
24
24
24
24
0
42.38
39.52
27.27
44.71
41.68
39.11
6.87
0.00
0.00
0.00
0.00
0.00
0.00
0.00
57.62
60.48
72.73
55.29
58.32
60.89
6.87
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
FAILED ARRIVALS
Entity
Name
------Jet aa
Jet aa
Jet aa
Jet aa
Jet aa
Jet aa
Jet aa
Location
Name
-----------Arrivals aa
Arrivals aa
Arrivals aa
Arrivals aa
Arrivals aa
Arrivals aa
Arrivals aa
Jet
Jet
Jet
Jet
Gate
Gate
Gate
Gate
aa
aa
aa
aa
aa
aa
aa
aa
Total
Failed
-----0
0
0
0
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
(Rep
(Rep
(Rep
(Rep
1)
2)
3)
4)
XXVIII
Jet aa
Jet aa
Jet aa
Gate aa
Gate aa
Gate aa
Jet
Jet
Jet
Jet
Jet
Jet
Jet
aa
aa
aa
aa
aa
aa
aa
Remote
Remote
Remote
Remote
Remote
Remote
Remote
Jet
Jet
Jet
Jet
Jet
Jet
Jet
aw
aw
aw
aw
aw
aw
aw
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Jet
Jet
Jet
Jet
Jet
Jet
Jet
aw
aw
aw
aw
aw
aw
aw
Gate
Gate
Gate
Gate
Gate
Gate
Gate
Jet
Jet
Jet
Jet
Jet
Jet
Jet
ac
ac
ac
ac
ac
ac
ac
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Jet
Jet
Jet
Jet
Jet
Jet
Jet
ac
ac
ac
ac
ac
ac
ac
Gate
Gate
Gate
Gate
Gate
Gate
Gate
Jet
Jet
Jet
Jet
Jet
Jet
Jet
ac
ac
ac
ac
ac
ac
ac
Remote
Remote
Remote
Remote
Remote
Remote
Remote
1
1
1
1
1
1
1
Jet
Jet
Jet
Jet
Jet
Jet
Jet
co
co
co
co
co
co
co
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Jet
Jet
Jet
Jet
Jet
Jet
Jet
co
co
co
co
co
co
co
Gate
Gate
Gate
Gate
Gate
Gate
Gate
Jet
Jet
Jet
Jet
Jet
Jet
Jet
co
co
co
co
co
co
co
Remote
Remote
Remote
Remote
Remote
Remote
Remote
1
1
1
1
1
1
1
Jet
Jet
Jet
Jet
Jet
dl
dl
dl
dl
dl
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
0
0
0
(Rep 5)
(Average)
(Std. Dev.)
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
ac
ac
ac
ac
ac
ac
ac
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
co
co
co
co
co
co
co
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
co
co
co
co
co
co
co
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
dl
dl
dl
dl
dl
0
0
0
0
0
(Rep
(Rep
(Rep
(Rep
(Rep
aa
aa
aa
aa
aa
aa
aa
aw
aw
aw
aw
aw
aw
aw
aw
aw
aw
aw
aw
aw
aw
ac
ac
ac
ac
ac
ac
ac
ac
ac
ac
ac
ac
ac
ac
co
co
co
co
co
co
co
1)
2)
3)
4)
5)
XXIX
Jet dl
Jet dl
Arrivals dl
Arrivals dl
0
0
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
dl
dl
dl
dl
dl
dl
dl
Gate
Gate
Gate
Gate
Gate
Gate
Gate
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
dl
dl
dl
dl
dl
dl
dl
Remote
Remote
Remote
Remote
Remote
Remote
Remote
dl
dl
dl
dl
dl
dl
dl
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
mid
mid
mid
mid
mid
mid
mid
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
mid
mid
mid
mid
mid
mid
mid
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
mid
mid
mid
mid
mid
mid
mid
Gate
Gate
Gate
Gate
Gate
Gate
Gate
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
nw
nw
nw
nw
nw
nw
nw
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
nw
nw
nw
nw
nw
nw
nw
Gate
Gate
Gate
Gate
Gate
Gate
Gate
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
sw
sw
sw
sw
sw
sw
sw
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
sw
sw
sw
sw
sw
sw
sw
Gate
Gate
Gate
Gate
Gate
Gate
Gate
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
sw
sw
sw
sw
sw
sw
sw
Remote
Remote
Remote
Remote
Remote
Remote
Remote
sw
sw
sw
sw
sw
sw
sw
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
twa
twa
twa
twa
twa
twa
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
twa
twa
twa
twa
twa
twa
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
dl
dl
dl
dl
dl
dl
dl
1
1
1
1
1
1
1
mid
mid
mid
mid
mid
mid
mid
nw
nw
nw
nw
nw
nw
nw
nw
nw
nw
nw
nw
nw
nw
sw
sw
sw
sw
sw
sw
sw
sw
sw
sw
sw
sw
sw
sw
1
1
1
1
1
1
1
XXX
Jet twa
Arrivals twa
0
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
twa
twa
twa
twa
twa
twa
twa
Gate
Gate
Gate
Gate
Gate
Gate
Gate
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
twa
twa
twa
twa
twa
twa
twa
Remote
Remote
Remote
Remote
Remote
Remote
Remote
twa
twa
twa
twa
twa
twa
twa
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
un
un
un
un
un
un
un
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
un
un
un
un
un
un
un
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
un
un
un
un
un
un
un
Gate
Gate
Gate
Gate
Gate
Gate
Gate
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
un
un
un
un
un
un
un
Remote
Remote
Remote
Remote
Remote
Remote
Remote
1
1
1
1
1
1
1
un
un
un
un
un
un
un
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
us
us
us
us
us
us
us
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
Arrivals
us
us
us
us
us
us
us
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
us
us
us
us
us
us
us
Gate
Gate
Gate
Gate
Gate
Gate
Gate
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
us
us
us
us
us
us
us
Remote
Remote
Remote
Remote
Remote
Remote
Remote
0
0
0
0
0
0
0
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
twa
twa
twa
twa
twa
twa
twa
1
1
1
1
1
1
1
un
un
un
un
un
un
un
us
us
us
us
us
us
us
1
1
1
1
1
1
1
us
us
us
us
us
us
us
ENTITY ACTIVITY
Entity
Name
------Jet aa
Jet aa
Jet aa
Jet aa
Jet aa
Jet aa
Jet aa
Jet aw
Total
Exits
----24
24
24
24
24
24
0
Current
Quantity
In System
--------0
0
0
0
0
0
0
Average
Minutes
In
System
------75.04
69.15
75.21
70.19
97.36
77.39
11.49
Average
Minutes
In Move
Logic
------0.00
0.00
0.00
0.00
0.00
0.00
0.00
Average
Minutes
Wait For
Res, etc.
--------0.00
0.00
0.00
0.00
0.00
0.00
0.00
Average
Minutes
In
Operation
--------69.01
62.56
69.48
63.74
91.14
71.18
11.57
Blocked
------6.03
6.58
5.72
6.45
6.22
6.20
0.34
6
0
87.74
0.00
0.00
80.69
7.04
XXXI
Average
Minutes
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
(Rep 1)
Jet
Jet
Jet
Jet
Jet
Jet
aw
aw
aw
aw
aw
aw
6
6
6
6
6
0
0
0
0
0
0
0
54.82
58.44
77.42
92.55
74.19
16.98
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
53.49
57.71
76.40
80.87
69.83
13.19
1.33
0.72
1.01
11.68
4.36
4.85
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
ac
ac
ac
ac
ac
ac
ac
11
11
11
11
11
11
0
0
0
0
0
0
0
0
88.20
72.20
99.76
78.46
69.80
81.68
12.35
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
69.31
56.74
75.65
62.80
54.83
63.87
8.68
18.88
15.46
24.10
15.66
14.96
17.81
3.84
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
co
co
co
co
co
co
co
14
14
14
14
14
14
0
0
0
0
0
0
0
0
68.90
77.90
73.66
83.34
68.76
74.51
6.21
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
62.06
70.18
68.69
75.73
64.12
68.16
5.36
6.84
7.72
4.97
7.60
4.63
6.35
1.46
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
dl
dl
dl
dl
dl
dl
dl
26
26
26
26
26
26
0
0
0
0
0
0
0
0
72.52
73.45
66.01
70.66
73.52
71.23
3.13
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
66.33
66.98
60.04
63.86
67.04
64.85
2.98
6.18
6.46
5.96
6.79
6.47
6.38
0.31
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
mid
mid
mid
mid
mid
mid
mid
7
7
7
7
7
7
0
0
0
0
0
0
0
0
78.99
58.41
70.52
88.86
74.14
74.19
11.18
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
74.72
51.69
69.80
87.41
73.85
71.49
12.88
4.27
6.72
0.72
1.44
0.29
2.69
2.73
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
nw
nw
nw
nw
nw
nw
nw
10
10
10
10
10
10
0
0
0
0
0
0
0
0
51.13
55.22
65.55
68.20
74.10
62.84
9.46
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
50.10
54.27
64.53
67.45
73.30
61.93
9.55
1.03
0.95
1.02
0.75
0.79
0.91
0.12
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
sw
sw
sw
sw
sw
sw
sw
17
17
17
17
17
17
0
0
0
0
0
0
0
0
73.72
75.19
79.74
77.76
80.21
77.32
2.82
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
62.01
64.50
63.20
67.18
66.88
64.75
2.26
11.71
10.68
16.54
10.57
13.33
12.57
2.47
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
twa
twa
twa
twa
twa
twa
twa
10
10
10
10
10
10
0
0
0
0
0
0
0
0
112.63
99.79
70.70
104.60
98.93
97.33
15.84
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
69.65
67.19
48.72
75.37
69.78
66.14
10.19
42.98
32.60
21.98
29.23
29.14
31.19
7.64
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
un
un
un
un
un
un
un
11
11
11
11
11
11
0
4
4
4
4
4
4
0
81.88
98.32
86.53
94.44
94.62
91.16
6.73
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
69.10
81.59
70.84
77.26
74.39
74.63
5.00
12.78
16.72
15.68
17.18
20.22
16.52
2.68
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
us
us
us
us
us
us
us
46
46
46
46
46
46
0
0
0
0
0
0
0
0
72.54
72.88
75.42
72.52
79.81
74.63
3.13
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
64.16
65.28
67.17
66.37
69.80
66.56
2.14
8.38
7.60
8.25
6.14
10.00
8.07
1.39
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
ENTITY STATES BY PERCENTAGE
%
%
XXXII
Entity
Name
------Jet aa
Jet aa
Jet aa
Jet aa
Jet aa
Jet aa
Jet aa
In Move
Logic
------0.00
0.00
0.00
0.00
0.00
0.00
0.00
Wait For
Res, etc.
--------0.00
0.00
0.00
0.00
0.00
0.00
0.00
%
In Operation
-----------91.96
90.47
92.38
90.81
93.61
91.85
1.26
%
Blocked
------8.04
9.53
7.62
9.19
6.39
8.15
1.26
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
aw
aw
aw
aw
aw
aw
aw
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
91.97
97.57
98.76
98.68
87.38
94.87
5.04
8.03
2.43
1.24
1.32
12.62
5.13
5.04
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
ac
ac
ac
ac
ac
ac
ac
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
78.59
78.58
75.83
80.04
78.56
78.32
1.53
21.41
21.42
24.17
19.96
21.44
21.68
1.53
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
co
co
co
co
co
co
co
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
90.07
90.08
93.25
90.87
93.25
91.51
1.63
9.93
9.92
6.75
9.13
6.75
8.49
1.63
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
dl
dl
dl
dl
dl
dl
dl
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
91.47
91.19
90.96
90.38
91.19
91.04
0.41
8.53
8.81
9.04
9.62
8.81
8.96
0.41
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
mid
mid
mid
mid
mid
mid
mid
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
94.59
88.48
98.98
98.37
99.60
96.01
4.63
5.41
11.52
1.02
1.63
0.40
3.99
4.63
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
nw
nw
nw
nw
nw
nw
nw
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
97.98
98.28
98.43
98.89
98.92
98.50
0.40
2.02
1.72
1.57
1.11
1.08
1.50
0.40
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
sw
sw
sw
sw
sw
sw
sw
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
84.11
85.78
79.26
86.40
83.38
83.79
2.81
15.89
14.22
20.74
13.60
16.62
16.21
2.81
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
twa
twa
twa
twa
twa
twa
twa
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
61.84
67.33
68.91
72.05
70.54
68.13
3.94
38.16
32.67
31.09
27.95
29.46
31.87
3.94
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
un
un
un
un
un
un
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
84.38
82.99
81.87
81.81
78.62
81.93
15.62
17.01
18.13
18.19
21.38
18.07
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
XXXIII
Jet un
0.00
0.00
2.13
2.13
(Std. Dev.)
Jet
Jet
Jet
Jet
Jet
Jet
Jet
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
88.44
89.57
89.06
91.53
87.46
89.21
1.51
11.56
10.43
10.94
8.47
12.54
10.79
1.51
(Rep 1)
(Rep 2)
(Rep 3)
(Rep 4)
(Rep 5)
(Average)
(Std. Dev.)
us
us
us
us
us
us
us
D. Floppy Disc File Listing and Description
proj.doc
airport_airline_arr.mod
airport_all_arr.mod
airport_all_double.mod
airport_all_double_even.mod
airport_all_new_airline.mod
airport_sched_arr.mod
Microsoft Word file of final project report
ProModel input file for base case with arrival schedule based on individual
airline arrivals
ProModel input file for base case with arrival schedule based on all airport
arrivals
ProModel input file for case with double the number of arrivals with base
arrival schedule for all arrivals
ProModel input file for case with double the number of arrivals with even
arrival schedule
ProModel input file for case with 25% increased number of arrivals with
new airline and new gate
ProModel input file for case with individually scheduled arrivals including
variability
All ProModel files on the disk that end in 42 (i.e., airport_airline_arr_42.mod) are the same files as above,
but can be opened in the student version of ProModel. Because the models are so large, they cannot be
edited and saved in the student version, but they can be opened and run in either version.
XXXIV
XIII. References
Simulation Model
A.M. Law & W.D. Kelton, “Simulation Modeling and Analysis, 3d ed.”, McGraw-Hill, New York, 2000
C.R. Harrell, B.K. Ghosh & R Bowden, “Simulation Using Promodel, 3d ed.”, McGraw-Hill, Boston, 2000
Travelocity.com’s Arrivals and Departures Information Web Site
Special thanks to John Spillane and Roland Tebbets, operations specialists at Bradley International Airport
for supplying all airport data, including arrival and departure schedule for each airline and airport layout
information.
XXXV