NATIONAL BUREAU OF STANDARDS REPORT

10 117

p5c fi~

SIMULATION OF AIR TRAFFIC CONTROL RADAR

BEACON CODE ASSIGNMENT PLANS

Final Report on Phase I

Sponsored by

Department of Transportation

Federal Aviation Administration

Inter-agency Agreement DOT-FA69WAI-162

U.S. DEPARTMENT OF COMMERCE

NATIONAL BUREAU OF STANDARDS
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NATIONAL BUREAU OF STANDARDS REPORT

NBS PROJECT

6505453

NBS REPORT

10 117

SIMULATION OF AIR TRAFFIC CONTROL RADAR

BEACON CODE ASSIGNMENT PLANS

Final Report on Phase I

by

R. D. Elbourn

Information Processing Technology Division

Center for Computer Sciences and Technology

and

Judith F. Gilsinn

Operations Research Section

Applied Mathematics Division

Sponsored by

Department of Transportation

Federal Aviation Administration

Inter-agency Agreement DO T-G A69WAI-162

IMPORTANT NOTICE NATIONAL BUREAU OF ST;

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U.S. DEPARTMENT OF COMMERCE

NATIONAL BUREAU OF STANDARDS

Contents

Pag e Abstract 1

1. Introduction 2

2. Scope of Plan I 3

2.1 Center Assignment Plan 3

2.2 Traffic Routing 3

3. Choice of a Programming Language 5

4. The Traffic Sample ..... 6

5. Results 7

5.1 First Code Plan: Issue Codes from the Top

of a List, Return them to the Bottom .... 8

5.2 Second Code Plan: Issue from the Top of a List, Return to the Top 9

5.3 Third Code Plan: Issue by Random

Selection 9

Figure 1, Route Map between the 21 Centers 4

ii

Tables

Page

1. Flights with Origin and Destination in the

Same Center 14

2. Flights with Origin and Destination Airports

the Same 14

3. Flights within One Center with Different

Origin and Destination Airports 15

4. Number of Departures from Boston 16

5. Number of Arrivals at Boston 17

6. Number of Handovers to Boston 17

7. Number of Departures from New York 18

8. Number of Arrivals at New York 19

9. Number of Handovers to New York 19

10. Number of Departures from Washington 20

11. Number of Arrivals at Washington 21

12. Number of Handovers to Washington 21

13. Number of Departures from Jacksonville 22

14. Number of Arrivals at Jacksonville 23

15. Number of Handovers to Jacksonville 23

16. Number of Departures from Miami 24

17. Number of Arrivals at Miami 25

18. Number of Handovers to Miami 2 5

19. Number of Departures from Cleveland 26

20. Number of Arrivals at Cleveland 27

21. Number of Handovers to Cleveland 27

22. Number of Departures from Atlanta 2 8

23. Number of Arrivals at Atlanta 29

24. Number of Handovers to Atlanta 29

25. Number of Departures from Indianapolis 30

26. Number of Arrivals at Indianapolis 31

27. Number of Handovers to Indianapolis 31

28. Number of Departures from Chicago 32

29. Number of Arrivals at Chicago 33

iii
Tables

Page

30. Number of Handovers to Chicago 33

31. Number of Departures from Memphis 34

32. Number of Arrivals at Memphis 3 5

33. Number of Handovers to Memphis 3 5

34. Number of Departures from Houston 36

35. Number of Arrivals at Houston 37

36. Number of Handovers to Houston 37

37. Number of Departures from Minneapolis 38

38. Number of Arrivals at Minneapolis 39

39. Number of Handovers to Minneapolis 39

40. Number of Departures from Kansas City 40

41. Number of Arrivals at Kansas City 41

42. Number of Handovers to Kansas City 41

43. Number of Departures from Forth Worth 42

44. Number of Arrivals at Fort Worth 4 3

45. Number of Handovers to Fort Worth 4 3

46. Number of Departures from Great Falls 44

47. Number of Arrivals at Great Falls 45

48. Number of Handovers to Great Falls 45

49. Number of Departures from Denver 46

50. Number of Arrivals at Denver 47

51. Number of Handovers to Denver 47

52. Number of Departures from Albuquerque 48

53. Number of Arrivals at Albuquerque 4 9

54. Number of Handovers to Albuquerque 49

55. Number of Departures from Salt Lake City .... 50

56. Number of Arrivals at Salt Lake City 51

57. Number of Handovers to Salt Lake City 51

58. Number of Departures from Seattle 52

59. Number of Arrivals at Seattle 53

60. Number of Handovers to Seattle 53

IV
Tables

Page

61. Number of Departures from Oakland 54

62. Number of Arrivals at Oakland 55

63. Number of Handovers to Oakland 5 5

64. Number of Departures from Los Angeles 56

65. Number of Arrivals at Los Angeles 57

66. Number of Handovers to Los Angeles 57

67. Number of Aircraft in Flight in each Center on

the Hour 5 8

68. Maximum Number of Aircraft in Flight at any

Time during each Hour 5 9

69. First Code Plan: Issue from Top, Return

to Bottom of 800-Code List 60

70. Second Code Plan: Issue from Top, Return to

Top of 800-Code List 6 3

71. Third Code Plan: Random Assignment--800 Codes. 66

V

simulation of Air Traffic Control Radar

Beacon Code Assignment Plans

Final Report on Phase I

R.D. Elbourn and J.F. Gilsinn

Abstract

A peak day's IFR traffic, 25,646 flights, in the USA

was simulated with the 21 Air Route Traffic Control Centers

issuing codes independently according to three rules:

(1) issue codes from the top of a list of the codes not in

use and return them to the bottom, (2) issue codes from the

top of the list and return them to the top, and (3) issue

codes by random selection from the codes not in use. With

the same 800 codes available in each center, these rules

required in-flight code changes at, respectively, 16.8, 58,

and 13 percent of the handovers to other centers.

1
1 . Introduction

The Air Traffic Control Radar Beacon System (ATCRBS)

with 4096 discrete-code capability is expected to transmit

identity and altitude of aircraft to equipment that will

generate an alphanumeric display of this information

updating it through automatic tracking. Because it is

planned to install such automatic data processing systems

in most large and medium enroute and terminal ATC facilities

by 1973, there is some urgency to developing an effective

and efficient plan for assigning radar beacon (identifying)

codes. At the request of the Federal Aviation Administration, the National Bureau of Standards has undertaken to

test and compare code assignment plans by simulating their

operation on a digital computer.

Each test is a simulation of the IFR traffic within the

contiguous 48 states during a peak day. The criteria of

goodness are:

1. The elimination of duplicate codes wherever

they might confuse either the tracking system

or a controller watching an alphanumeric

display.

2. The efficient use of the available codes. This

encourages duplicating codes at places or times

that are sufficiently separated so that no

confusion can result.

3. Minimization of the frequency with which

in-flight code changes are required.

In the interest of developing some experience and

preliminary results before attempting to deal more fully

with the details of air traffic movements and procedures,

the first phase of the study was limited to the so-called

Center Assignment Plan and employed a highly simplified

pattern of air traffic flow. The present report describes

the results of that first phase.

]^/ Exactly when or where duplication is tolerable or

intolerable depends upon details of the future computeraided system of air traffic control that are not yet

known, but considerations of the code assignment problem

may affect design of the future ATC system, so the

simplest reasonable-looking assumptions were made to get

the study underway.

2
2. Scope of Phase I

2.1 Center Assignment Plan

Each of the 21 Air Route Traffic Control Centers

(ARTCC's) has available the complete complement of radar

beacon codes. Each center keeps account of which codes are

in use within its control area and issues each originating

flight an unused code at departure. A flight coming in from

outside the center’s control area is permitted to retain its

code only if that code is not in use in this area. Otherwise, at handover its code is changed to an unused one.

Thus each center prevents duplication of codes v/ithin its own

area, but use of the same code in different control areas is

freely permitted. There is no communication between centers

to reserve a code for a future flight.

Three variations in code assignment rules have been

simulated

:

1. Each center keeps a list of available (unused)

codes. It issues codes from the top of the

list and returns codes to the bottom. When

an incoming flight is permitted to retain its

code, that code must be removed from the

available list.

2. Same as in 1 except that codes are returned

to the top rather than to the bottom of the

list.

3. Codes are issued by a random selection from

those available.

2.2. Traffic Routing

In Phase II of this study, aircraft will be assumed to

fly straight paths from their airport of origin to their

airport of destination. Code usage changes only at

departure, handovers, and arrival. If the times of these

events were known, the geographic location of the aircraft

would be of no concern to this simulation. But the time of

a handover is determined only after one finds the place

where the flight crosses the boundary of the relevant

control area. This burdensome calculation is avoided in

Phase I by the following simplification of the assumed

routes of flights.

3
BETV^EEN

the

21

CENTERS

OIJTANCtS

*»t

SIAIUTt

MIUS
All traffic to or from a control area is assumed to

arrive or depart via just one airport. Traffic to a remote

center is assumed to fly over the airport of each center

whose control area its passes through. Figure 1 shows the

44 route legs which flights follow between the 21 airports.

A flight follows the shortest path within this network, and

handover occurs at the midpoint of each route leg. In the

Kansas City control area St. Louis was taken as the representative airport, and Billings was chosen in the Great Falls

area. These were believed to give more typical routes of

flight.

This approximation vastly simplifies the computer

program, and it is hoped that it gives reasonably near the

right number of aircraft in each center's control area at

any time.

3. Choice of a Programming Language

3IMSCRIPT was chosen as the programming language for

this simulation, because the problem seemed well suited to

SIMSCRIPT's type of descriptive model, and the SIMSCRIPT

system program performs many chores for which detailed

programs would otherwise have to be written. The use of a radar beacon code changes only at one of three events: the

departure, handover, or arrival of a flight. SIMSCRIPT

simulates just this kind of system--one whose state changes

only at discrete instants when certain events occur. A

computer routine is written for each type of event, and the

SIMSCRIPT system program automatically calls these routines

in the sequence in which the events have been scheduled.

During the execution of an event routine, simulated time

stands still, but at its completion simulated time advances

immediately to the instant of occurrence of the next

scheduled event.

SIMSCRIPT automatically takes care of allocating and

recovering temporary storage. When 2,300 flights are in

progress, about 23,000 words of storage are needed to store

the attributes of each flight and the event notices for the

next event in each flight. There is not memory enough to

store at the same time these data for all the 25,000 flights

in a simulated day. By properly placing a few CREATE and

DESTROY statements the programmer can keep the use of

storage down to the minimum essential.

5
SIMSCRIPT's facilities for forming sets of entities

turned out to be not exactly suitable for handling the

available code lists, but their techniques were adapted in

the programs written. As a general programming language

SIMSCRIPT is very similar to FORTRAN and contains most of

fortran's features. The SIMSCRIPT 1,5 language used has been

implemented on IBM System 360, Control Data 3600 and 6600,

and UNIVAC 1107-1108 computers, so with a few changes it

should be possible to run the simulation on any of these

machines

4.

The Traffic Sample

The traffic sample used in this simulation was derived

from a Peak Day IFR Traffic Tape supplied by the FAA. For

each flight this tape gave the following data:

1. Aircraft identity

2. User class; i.e,.

Air carrier

General aviation, or

Military

3. Aircraft type

4. True airspeed

5. Departure airport

6. Flying altitude

7. Destination airport

8. Departure time

The identifiers for departure and destination airports

were replaced by the numbers of their control areas. In

this process some flights were eliminated because they used

airports outside the contiguous 48 states, an airport

identifier was not a valid identifier, or the identifier

referred to a navigation aid rather than an airport. After

these were deleted, 25,646 flights remained.

In order to have a realistic number of flights in

progress at the start of the 24 simulated hours, the flights

in progress at the end of the 24 hours are preloaded into

the system at the start. This makes the 24 hours of traffic

a closed repeating cycle, so that it does not matter at

which hour the simulation begins. This simulation is begun

at 12:00 GMT, because this is not a busy hour and so fewer

flights need to be preloaded.

6
For flights from one center to another, the times of

handover and arrival are predicted from the distance divided

by the speed of flight. This does not work for flights that

originate and terminate in the same control area. For these

a duration of one hour is arbitrarily assumed. It was found

that about half the departures stay in the same center's

control area, so that assumption has a considerable effect

on the number of aircraft represented as flying at any given

time

.

The importance of the one-hour duration assumed for

flights within one control area prompted a more detailed

breakdown of these flights as shown in Tables 1 to 3 . While

48 percent of all flights remain within one control area,

only 9 percent return to the same airport. The flights

between different airports are mostly air carriers, so their

average duration should be fairly short for the distances

between airports in the same control area. Phase II will

give times for these flights and thus largely eliminate the

problem, but for Phase I an average duration of one hour

seems reasonable.

The counts of aircraft movements are a function of the

traffic sample used and not of any code assignment plan, so

one version of the simulation program was written just to

gather these statistics, which are applicable to all code

plans. Tables 4 through 66 give;

1. The number of departures from each center!./

to each other center.

2. The number of arrivals at each center from

each other center, and

3. The number of handovers from each center to

each other center.

Each column gives values for the hour ending at the

time printed at the top of the column, and the last column

gives 24-hour totals. The last row gives total departures

from, arrivals at, or handovers to each center. If a row

contained all zeros, printing was suppressed. Grand totals

for all 21 centers for the 24 hours are:

_!/ Hereinafter "center" will often be used to denote the

corresponding control area.

5. Results

Departures

Arrivals

Handovers

25,646

25,513

18,986

7
The excess of departures over arrivals is the result of

preloading too few flights. When the preload tape was made,

flights within one center were represented as flying only

one-half hour rather than one hour.

Tables 67 and 68 give the number of aircraft flying in

each center on the hour and the maximum number of aircraft

in each center during the hour. At 22:00 GMT there are

2,293 IFR aircraft in all centers. Cleveland has the maximum number, 238, at some time between 21:00 and 22:00 GMT.

The busiest hour has about 8.5 times more aircraft than the

least busy hour.

5.1 First Code Plan: Issue Codes from

the Top of a List, Return them to the Bottom

In this assignment plan each center has the entire complement of available codes. It keeps those codes that are

not in use in an ordered list. If the code being used by an

incoming handover aircraft is in the list, it is removed and

the flight is allowed to continue without changing its code.

When a new code is needed either for an originating flight

or for a handover whose code is in use, the code at the top

of the list is removed and issued. When a code is released

either by a terminating flight or by a handover leaving the

control area, the code is returned to the bottom of the list.

At the start of the simulation all the lists are arranged in

the natural order 1, 2, 3, ... from top to bottom.

Tables 69a to c show the results of a simulation with

800 codes initially in each list. Because this is more than

the maximum number of aircraft in any center at one time, no

center ever ran out of codes; therefore, all entries under

"no code available" are zero. Altogether there were 3,200

code changes in 18,986 handovers; i.e., the code was changed

at 16.8 percent of the handovers.

The first hour of the run ends at 13:00 GMT. Notice

that the number of code changes is large for the first few

hours not just because the traffic is building up but because

all centers are issuing the same codes. Later the centers

with different amounts of traffic get to issuing from

different regions in sequence, and ultimately the code lists

get mixed up by varying durations of code use. The poor

early behavior could be avoided by starting with each code

list shuffled randomly, but then performance would be the

same as the third code plan, the Random Assignment Plan.

8
The programs that implement these code lists are rather

complex and wasteful of space. For 800 codes and 21 centers

an array of ( 800) • (21) =16 , 800 words is needed. Each word

contains two pointers (memory addresses) , one to the predecessor and one to the successor of its code in its list.

Each center has two pointers, one to the first and one to

the last code in its list. The program that removes a code

from a list must make the proper changes in these pointers.

It has to make different changes according to whether the

code is first, last, both first and last, or interior in the

list. The implementation of the random code assignment plan

is simpler.

5.2 Second Code Plan: Issue from

the Top of a List, Return to the Top

The second code assignment plan differs from the first

only in that released codes are returned to the top of the

list. Tables 70a to c give the results with, again, 800

codes available. Altogether there were 10,976 code changes

in 18,986 handovers, so codes were changed at 58 percent of

the handovers.

The reason for this poor performance is rather obvious.

No center ever gets farther down into its list than the

maximum number of aircraft in flight in that center at one

time. Most of the codes are never used, and all centers are

using the lowest numbered codes.

5.3 Third Code Plan; Issue by Random

Selection

In the plans where codes are issued from the top of a list consider the situation when a busy center such as

Cleveland has issued its first 100 codes. Other less busy

centers are issuing from somewhere within this same range of

100 codes, so when one of their aircraft reaches Cleveland

its code is almost certain to be in use. One would like to

avoid this unfavorable correlation between codes issued in

different centers. Considering one aircraft coming to a new

center one would like to minimize the probability that its

code is in use. But if there has been no advance communication of which particular code this aircraft is using; this

requires making the probability of use equally small for all

codes. In other words the codes in use should be randomly

scattered throughout the space of available codes. This is

the motivation for the random assignment plan.

9
If the codes in use in a center are indeed randomly

distributed independently of the code of an incoming

aircraft, then the probability that this code is in use is

just the number of codes in use divided by the number of

codes available. This probability is the mathematical

expectation that the code will have to be changed. Over a number of handovers the expected (or long-run average)

number of code changes is the sum of these probabilities.

This is how the "expected code changes" in Tables 71a to c were computed. The expected values were rounded to the

nearest integer before printing, but the 24-hour totals were

computed before rounding, so the rounded totals may differ

from the totals of the rounded hourly values.

As before, 800 codes were available, and among all

centers there were 2,469 code changes in 18,986 handovers;

thus codes were changed in 13 percent of the handovers.

The total expected number of code changes was 2,605, so

one must ask whether the difference of actual from expected

is more than is probable due to sampling fluctuations. If a

random variable x takes value 1 with probability p and value

0 with probability l-p^ then the expectation value of x is

p and the variance of x is p(l-p). But if p is much less

than 1, then 1-p is nearly 1, so that the variance and the

expected value are nearly equal. When random variables are

added, their expectations and variances are also additive,

so this near equality carries over into the sums. The

standard deviation of any of our expected values is only a little less than its own square root. The actual number

2,469 of code changes is thus nearly three standard deviations smaller than the expected value 2,605. Moreover, the

actual numbers of code changes are in nearly every case

smaller than the expected values, so the results can hardly

be ascribed to chance.

This conclusion caused some fearful mistrust in the

pseudo-random number generator used to select codes, until

it was realized that, when an aircraft enters a new control

area, not all the codes in use in that area are distributed

independently of the code of the incoming aircraft. For

concreteness, consider a flight that originated and received

its code in Cleveland and is going to Chicago. When

Cleveland assigned a code to this flight, there must have

been other flights under Cleveland control bound for Chicago

and somewhat ahead of this flight. Cleveland carefully

avoided giving this flight a code identical to any other

under its own control, so when this flight reaches handover

to Chicago there are already under Chicago control these

earlier flights from Cleveland whose codes are certainly not

in conflict with the new one. To compute the probability of

10
a code conflict with the new flight the number of these

earlier flights from Cleveland should be subtracted from

both the numerator and denominator. The result is a smaller

probability of conflict. In practice it would be too

burdensome to keep count of these non-independent codes as

needed to compute the correct expectation values. One can

merely be thankful that this particular deviation from

simple-minded theory is in the favorable direction.

The computer program that implements the random code

assignment plan uses (800)

•

(21) =16 , 800 bits, one for each

code and each center, to tell whether or not that code is in

use in that center. The plans that use code lists need that

many words (rather than bits ) because they store irrelevant

information. Out of the enormous number of permutations of

the code sequence in each list, they have to identify the

particular one that obtains at any time.

When a code is wanted, a routine that generates a pseudo-random number is used to make a random selection from

the whole complement of available codes. This code is then

checked to see whether it is in use, and if it is another is

selected until one is found that is not in use. The effect

is to accomplish a random selection from the codes that are

not in use. This procedure might require many selections if

most of the codes were in use, but in that case most handovers would require a code change. One gets a suitably small

number of code changes only when the number of codes available is several times larger than the maximum number of codes

in use in any center. In this case an unused code is quickly

found.

The random code assignment plan had a rational motivation, and it did require fewer code changes than either

version of the code list plan. Should one conclude that it

is the best possible? Certainly not. In game theory

randomization is an optimum strategy for combating one's

own ignorance and a thoroughly skillful and malevolent

opponent. But, even without communication between centers

to reserve codes in advance, this plan does not use all the

available information. The destination of each flight is

known, and it is known through which centers each flight

will pass. It should be possible to use this information

to improve performance.

11
As an example, suppose each center reserved the same

100 codes for issue to flights that do not leave that center.

No conflicts could occur cimong these, and nearly half the

flights would be removed from competition for the remaining

codes. Traffic data that will be obtained in Phase II is

needed to tell whether 100 is actually the right number, but

it is certainly in the right ball park. It is not so clear

how to block codes to minimize conflicts on longer flights.

One might ask why the code plans were compared at the

level of 800 available codes. The Cleveland center needs at

least 238 codes, and these plans will require an inordinate

number of code changes unless several times that number is

available. On the other hand, not all 4,096 codes are

available. Certain ones have special meanings such as

emergency or radio failure, and something like half the codes

have been committed to the military. At present traffic

levels 2,300 codes would permit assigning each aircraft a different code, so that no code changes would be required,

but the real problem is to find code plans that can accommodate the increased traffic of the 1980 's. Finally, the

list programs will exceed memory capacity at about 1,000

codes. In the random assignment plan the approximate

expected number of changes is inversely proportional to the

number of codes available, so results are easily estimated

for any other number of codes.

It has been suggested that codes be assigned 15 minutes

before takeoff and returned 15 minutes after landing. This

change can be programmed easily. It does require a 15

minute advance of the times recorded on the traffic tape,

since these must refer to the first event in each flight.

The effect will be about the same as reducing the number of

available codes in inverse ratio to the increase in the

average duration of use.

The running time of these programs is a little under

10 minutes to compile, assemble, and execute on the 1108.

USCOMM-NBS-DC

12
Tables 1 to 71 of Computer-Generated

Output Follow

13
Table 1. Analysis of Local T'liuhts

flights with origin and destination In the same center

CENTER general aviation AIR CARRIER military TOTAL

» L C I'E

1 3 06 229 323

A T L A \ T A 232 309 92 7 1 3 G R f; A T fall?

1 6 59 99 1 69

00 5T0IJ 321 267 0 9 672

clcvlland Rsa 516 39 1006

fort V: 0

R ' H IS? 26S 369 7 8 9 W A 5 H I N Cl T C N 169 361 290 770

D r fj V c K 60 222 0 298

HOUSTON 299 339 305 1023

iNDlANAfOLIS 235 317 99 6S 1 JACKSONVILLE 75 122 182 379

NEW YORK 359 279 53 606

LOS A N f. r L E S 395 397 1 00 972

M I A 1 02 2 1 9 1 20 92 1 NEMPHlG 53 169 69 286

M I N f.' L A r 0 L I 5 105 2 1 0 91 906

CHICAGO 960 701 76 1295

SEATTLE. I 39 267 I 06 S07

0 A K L A N p 90 232 121 95 1 SALT Lake cr 39 67 7 1 1 3 KAfJSAS city 1 75 236 80 999

Total 3939 5710 27 1 2 1 2369

Table 2. Analysis of Local Flights

FLIGHTS RITH origin aNO DESTINATION AIRPORTS THE SAME

CENTER general aviation air carrier military TOTAL

» L I’ > ' U E R C 0 E

1 3 209 208

A T L A N T A 22 2 S9 78 great f a. L L 5

1 I 87 89

POSTON 1 9 0 55 7 7 C L E V E L A

fi 0

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DENVER 1 I 6 S 22

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JACKSONVILLE 1 1 9 109 129

N r. W Y 0 R K B 7 1 6 31 LOS A N G TIES 9 19 59 02

N I A N 1 2 9 92 90

NE NCH I G 5 5 39 99

MiNf.'EAPCLIS 1 3 1 es 99

CHICAGO 31 9 so 90

SEA’ T L F. 22 0 80 102

OAKLAND 9 3 1 H2 1 09

SALT Lake C y 9 0 7 1 6

K A N' 9 A S CITY 7 3 SR 68

Total 230 07 1 955 2200

14
Table 3. Analysis of Local Flights (concluded)

PLIGHTS within ONC CtNTCR WITH 0 |PPEWCnT ORIGIN *N0 DESTINATION AIRPORTS

CENTER general Aviation air carrier MILITART total

* L C 1 u t; c 1' E 12 63 20 1 15

A T L A N T A 210 387 38 636

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boston 3n? 269 29 596

C L C V L L N 0 R<0 5|R R 961

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WASHINGTON Ur 369 115 638

0 E fJ V C H ST 216 3 276

H 0 0 R T 0 ,N 27M 333 89 696

|ND1 ANaFOLIS 232 3 1 7 1 6 666

JACKSONVILLE 6R 1 1 a 73 266

NEW YORK 3RA 272 37 666

LOS A N G r L f; s 39 1 378 121 690

H 1 A 1 60 215 28 323

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MINNEAPOLIS 92 209 6 307

CHICAGO R37 692 26 1 166

SEA! 7 L F. 1 12 267 26 906

0 A K L A N 0 9M 229 1 9 3R2

SALT Lake cr 30 67 0 97

KANSAS CMY ue 233 30 R3 1 Total 3201 5A31 767 1 0089

flights with origin and destination In different centers

total 3860 7812 uos 1 3277

total flights 7799 13530 R3I7 2S6R6

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32

number

or

arrivals

at

Memphis

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12

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6

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276

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823621201110153353727636

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9

2

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10

7

11

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6

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5

5

2

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II

13

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6

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6

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o — — — coo— o— — 'O'C— o* CM y i/> — ooomooac* — — — 'O— — a* *o m i/t y OOO — o— cr— oocMi>*— cn rc ^ CM r^ ® OCOOOC— O — — — -C3*— iT — ^ ^ CM iT 9

X iA

a. r «A

L3 0.

m >- tft o

o _j — c- _A u» ^ •- c Kj rr < v: uj I orvro^Q. ou. <uiOt7

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fS —

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lA

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— — n — n

«s — ox — O — 30 *^ — OOOa— «N*SlO— —

o

fs — OfSOOOO — — — O— — O'A— IS®fS

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^ 04 ^ ^ O o — o — a — O rsj m -Olh o —

>0 <D o — — XOO — — ox— OfS<*AiSOO'OOr^ o

_i lA OOOOOO 0—00 0<S — IS rsj — O ® m —

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IS — X

OOOOCOO— C— — oo— IS — cc IS — X O — OOOOOCOOCIS— ISC*ISIS(S *s O — Lf>

X lA

V9 0.

Xo

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s: H- 2 a Oocr orv

(KO o uj« 02 -i>- 200 <in=ta: 3 ^

ljc* OV*2 Lr»k->- 3 *-

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UJ •< — J »- 2 XO— <OuJ -J « ZiX — OXX V U. O < LT

tr

Uj-J

Li- C vT _l 2 2

•< V l/> Ul < O

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total
number

of

arrivals

at

OAKLAND

— O':»'<nco-*oo — o— fNj o

04 —I — p>4 rv4 ^ lH rsj 3- fSI O*

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o) 'O a —

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oi in — o

04 O* ooaaooo — — — 04 04® -j> m

04 — in — 0»> 04 —

3T ^ o o

04 r> — 040— O — O—»0 — ao—*—‘OgOO- —

rl — ^

ir ® ch — 04 O — 00400 — OQ— O — D — Ojj-<n -O

f-1 — i/t ! — O 01 ^ ^ 00 — — 00000004— 04 — lP-0(> X

iO « T* 3“ ^ — IS 00000000— Qoo— oxxrsj >0 rj — to — lO O* t/> — fS oooooaaoooooa^M04c^4J i> 04 4) — 0‘ OOOOOOOOOOO— OO — ®04 04 — 04 o in 04 ro rs. 0000000400000— — OUl— o ooooooooooooooo — — lO

< —

oo 01 in

O — 04 m

in o — 4} 000—0000000000000 — 0000000— 00000— — <004 ®

00000000000000040X -o

o — oooooooooooco»*ix ®

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tn

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in

LP

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TO « T Z INI O O O- 000000 — 00 — — o- o<o— 0^ in — — n Q a > O— 00 — C«^0— — 004fS— oge-Oi cT — — y

<4) 04

04 ^ in r» —

04 r-> 0000000400— 0004 — <nOw^ fS — — y

in — -O o rn IS

o

04 <S— O — OC — OC — O4O04CSFn<-ir*^ iP 04 — in X c

04 <0X0 r-> 04 ^ — 004 — oool — OO— 0j 04 04inx<^

04 IS 00400 — oosioo — — o — — ^ 04 ® in o — -o 00400 00000 — 00 — — X 00 X

04 — X

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in in >- — X

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O VI

Ui UJ _} X ^ Uj O _j o _| z < j ^ ;n - « UJ o

cn in
o

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<n— — 40 -• r^<n c^ — -.r^p^r>. — >

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o<^ — ooooo) — — oa^napsi — <N«no cm ^ — >o

4^ (0

f*4 — — — oo^«aofnof>40 — oo — ^oofM 3

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—

O r^OOOO — f^O r**oiOi/*a — fvr^ — rs.^^ — tO >— 0 «>4 — OO— OO— <N»00 — a 3 CMOOJl:r

m lOrl — Oia«^-OC OO— ^^-*T*i/)O-*rNjG0 — r^* 04^ 000— O'OO— -•^yoaoo — xfMtP — lT

UJ « — o<^*oaooo— o— ooaa — ><>40Ln<M — >0

lO tn —

o

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o oooooooooo — ooa — oo— o* o

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VD

fo H

CO

hJ

cc3

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K.UiA

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X

o oooocooo oocoacoooo«-^

O— OO — OOOO— C*0 — Q000004M

C OC— OCCOO— CC^^C— OO — 'nrsi o— oo — ocv4nooc?o — oo»>»cc34ny — •^r>40*^0Cifl — CO — ooo — — on — —.o— 0 r>« 00004^co<%-.cr\i 0

O OOCCOOGOCCO — O — 3'CCC^ — — :r O 0-*0— COOO OO—'CO»>4iro »v»rs/rv — 4% c coo*— oaoo«^of^^^4C — ^ — — iT O OC OOOC— O — — c — O— <n<M — cr o

O «MCC‘ — COCVO 000«^0rsiLn — — cr iN

4N *n O — — COOC*r-»C rwCfM«VOC :r — COTX

V9 ft.

?* _l o o o

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— r -j c

KJ X

c

ui £ <

tn •- Z X

X O -J «l C <.5 2 Z Z c _j <r vr -yi XVL.VJC^V'lOO.i

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00! C

<> h

h

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C

C

9

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hh

99

IS

SB

04

Vt

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1

v

10
Table

65

number

of

i^RRlVALS

AT

LOS

ANGELES

< — ^fJLnJ’rsio—.rgo

•*“ <V— -• ui 04 f^^rsiao*fN4 Lnrv — o — Psi C> -O

<< X o a — - rsi O — O -• CM n

T -O 04 —o — —oooa—*mo — oo4 «-i 00- 0 — c> 3

" — «o o

T >0 OJ — ® — y o. — 04 X O— OOOOOOX — rS4r> a X — O ^ lT» -o — -o c^ rn — o lA >

X

IS4 — o— -*aooaa<noo40o4 — 04^-*04® o o- ® o

® ^ — X >

—

04 — o— o^-»— axo<*»oa-^xo<o404 -or>. o- — trt O 04 Qrnooor^aoo— 04Q DinOXOO<^X —

'

o u

04 — O »• 04 — — — rs lA

04 04 04 O-* 043 anOCO,N 04 — ®— 004 ® 'O 04 O* 04

<N O X

— 040400040— XOOO OX 04®OXO Ol X — JT O

sH 9>» ^ rv — — o, < OOOOO— OO-*OOOO0itnLTOO04 04 —• >o ®

^ o O ^ OOOOOOOOOQ04 — o— — — - OO-Ov —

— <1 >o ^ 04 — — — 04

i/io* oooooooaoo— OOOOOOOr^> O' O wA O' z — — O lP O' 000000000>000— 040— 0004— o (A X <0 — mo— lA OOOOO — OO— oaoooo— 040 — — rs. o m aa 04 X o 04 X 004000 — OO — OOOOOOO — O — 04 ®

O— 00000004000 — O— OO — — 04 O' OOOOCOOO— C — 00400000 — X ^ OCOOCOGO— OO — — 0004000m X — 04

VD

VD

X!

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E-^

(t 04 X

o

z-X

o

fM — m — fo.

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04 04 C — iA m 04 o c

rin

04 OO— 00000040- OOOOOCOO'O' o ZJz

O X O O' —

04

'O 04

O — 000 — 0000 0—004 om — 04 — — m — X 'O OOCOC — — ox — — C— otCiT — — 040- rv — oj m

m X o m o

m 04 O' c

in —

04 CmooOOComaCOr4 mo4 iMOOs»®04 O' — lA ®

in —

04 c — — — — m

X o

04 — — oooo4 ac4 mccomo4 — O'O/moo' ® — X ®

CC — J' O — — X O — 000 *4) 004 — — 04 mO' 04 C — o* O' 04 lT O — ® fSi O' « o— — oomoo — om — — -4>o<cxoo4x la — >o o

X cr 04 o 04 — 04 — •« coo — CCCC 04 C— o— m— O'— mmow O' — -o <o iP ® m O' m — — X

r in

19 O' r VI Id a.

o —

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or c

a.

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o Z 020 -fi-zid — o-<in«Q:3_i — zz Or 0>*— IA«— UJO

ift. o- Tvr><— — T GzzarzcE«j«r^tn OUi<-< — J^-ZXUJO — ^0UJ_!<Ui<0

CD 2 *“)IW«»-OX TX vu.o«<i/>mo J

UJ o

o

C? wor w

Ui <4 C ^

cr O _j z <

lu ^ 4 *- > O • r z c: _j V V- W -I 4 4 o 4 cn D
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z

Ul

KJzo

® ifl O o r*s- rs.y 5“ •<> r«- —

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to Oi/i-o T'C^ T oo»n

r^— yr^o — 'Coa:a50in«N'^ — a5003'-oa

®riT‘<n^<nC3“^ ®r'jy <viLnfva) — <^#n<n —

O' 0<N«00-*'0 — a r in O r T > co#N|>00® r*'- rs.^-o^j>rs^<rvrs>rMfOfNi'0'-*rv<^(M**^ir<^

#nmOcn •OiT'OO O T 0-0 — CM o»’'0'^5"Oox —•®rs^^/1a/n — x>®<Niririfv4

i-i— ®<>40Ln^— f***4i'oo»’Orv:r-oO'^'Oy

*r— rN.cOrsi>oo<\» — — <V r>y < <Nj ©xa'OifN.T^^o <nfNrvnccrs4’00'Ooaifn

j'>— j^O'^Oiroj^Lno«Ni<s<o^3’ X'Cu^

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*10* o

f^f^cnoof^tnr^rvoji -oo ® ® x rv ^

— <N— ^ —

ffll/»'003-OTf>40®— a- O'©— f^OCM3-r^O

Of^or'«»®j>7-ri^'^04“*otNkAi>r>.®i/iXLn ® iTf^CzrO^*^©- OfS»y 00 ri lT — m lT u^

®tnTOun — — tn'«o®:j'Oo m-* fxts —

o «ipn®— woo ojia-— ^«•*o lh—• — 00 c Ul— Oina-®®®0ywr0«no — — — — «— r^ywT'OOrv^^i/irw— y^wof^^oo

U)-«®— W 70 IVWW — — cv — —

o

w

jy

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CO

LT» ^ -

XI li n3 «

Bh if

o '©^r^ooo^ — '©x— 00 'C — o

— '©®T<v«n^Ui— ^cx m i/> t\j S’ o—

UtO^®f»».— noO^'OOX ®OOiT<X rsfi/V'O — — rs<x— <n —

^p»»r^««cc/*)**-*Wir® — — X X w®trtrs.^tp — — ^ ^ —.W— — — —•<N* — o

K

lU

at

o xw<s»^4/if<o — mxr*k -o r< ® >o ® —- rs» rr r- — — — — — «*i w ww — Wfsirn

fS4/>r<OtAW — Ci/»-<l0Ors.0*00 — fv— w — lT <Nrsf«nw<-^w<v — rsix-c 0^®0fs.— rsfNiO ®-«0*<Nr"C* — fM — 00 — — Wtn«^— r^xx® —./-I — xo X n m X r- O 0^^CD0'^^*"0^0l/^Xcf'<N’© — XO<%<^®

w X ip n ^ uP X cr <N ij*. rn -c X — ifix wi^iX o COOf^>CxCO«^ ^<n®/n®x OP^iP'O'^f^

ifi'O® j*r»®-Cin— <v^3cm <u*»— -cirw^^iT o

PwXO“f»«* — XWW^C®— r*»W« — ®0 O r-» —. o'^ir-o/n^'OrN.—

UT o O — -oo — o -C fs» c — w < *0 X XiTOX O u^«w®*nxwcu>'C>xco — o w X. ^ CM

ac Uf

m >- in tij I -j r O — C O -I ^ z Q. o QTOZ

Z O Z O _j - z C7 — O «t O >-— (/i— UiZ><^ x>-u^ xv:z><*— oxt*“z cnstPw<u;-ici— xrjz OUJ<^— «l*-ZXbJO — ®z*“>xu<— ox XX

G LJ

or ^

V> K

z a

<• o

V: u. CJ O

a: o -J ><

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»— <x

k- _J < V

bJ «

tr o
Table

68

rD

.X

»• o in •D X tp 0 — X Ip IS iP 0 X IS o T Ul o 0

M —* r»* 0 X fv »• fv IS o 43 rv X 0 rl IS rl IP P 0 0 ri < IS £

»• **• iP IS iP < -c fv, o fv 0 IP rl O o X rv Fv X 0 o

<V CO 7 X X -• •c X IS X n IP X rl IS 0 — -n X 0 rs IS — — IS — — fs — — — — — IS X X — <n a> rn tp tP 0 kp — IS 0 0 X 0 p

cx> «n LP X kP Q X X iP n iP rs 0 — rl X 0 IS tn — — — — — IS — — — — — IS O s IS fs X a? > X X X 0 Si X o O 0 X rs 0

r*4 'O tn 41 o* fv o X IS vP m 0 IS 0 ri X ri Ul iP m — — — M —

*

IS — — — — — IS

r^ m rv ip X n IS X X o IP X IP O 0 rs 0 X Ul 0 rl cr fsi O o iP o CO 41 IS X m iP n 0 IS fv IS IS tp 0 X ri ID •* (S — — IS «« —

•

— —

•

— IS O

X o O (P X Ul «-l X r-i rv rv o X 0 fv 0 — 0 X X IS ri ri

ts — ip 0 X rv <n o X 0 0 O X •>* — 0 n Ul fv X n

X •* »• —

•

p« IS — — ••• rs u

<« CK ip 9 fv 0 FV V* a 0 0 iP a 0 0 X rs IS 0 IS 0 rl fv la c *n 'C tn >o «• rv 0 X iP 0 c IS IS o X lO 0 Ul —

—

•

IS iaz 0 a ® O o a X X o 43 iP IS •c O 0 X X — o Ul 3 X

-• o «s K — U' c fv 0 X 43 fv c IS rs — X iT lT 0 0 o

a: M M •* — —

•

« IS a •o o IP IS X X 41 rn —

•

a —

»

o — — m IS 0 X rl rs ri •• CD O -0 — X > •o f-T o o 4) fv 0 as — X Ul 0 ri c

Ul «>• -• «• -— .*s — — — — IS X

-O a* ^ •M — fv rv X — m X X IS r> IS n fv o rl ••• ->• Oh ^ 0 -• ip — ftP rn ts X ra X — 0 — rv X IS J1 0 C fS •• — IS -• — IS -• -• — — IS >-z in -O T IS r;i iP c 43 X X <n Ul rs iP 0 rv 0 p 0 Ul fv •• 9- ^ rv IS •»? X X o 0 IS 4P o — X iP — ri Ul Ul —

» M M -« IS «« «« IS

T- #s — IP o J1 > fv rv o >•> IS 'O IS 0 0 rv 0 IS X X X

«.« a iP fv O' •« F*> ifi fv 0 iP X o m — rs IS — —

«• IS «• •• fS X m 0 Ip 0 0 <y fSJ O' — X X kP —

•

0 0 0 rl X iP o o X

•• •41 m X <•> X <s 0 0 O X IS «n <n rv — — — —

•

— 0 M ««t —

•

u.

IS a- X iP 41 0 O' m 'O IS 0 0 X X IS 0 IS 0 z —

•

•« — 0 IS X tn rs m IS IS —

•

IS — IS — IS — X — -• —

a c iP 43 > 0 •« iP IP X 0 X iP ri o 0 X

u. -• ^ «n — m —

®

— •• n — •- IS — -• m

a:v> O •« iP IS 41 IP fv 0 rn iP IS 0 IS IS rv iP X p IS 0 rv o: — -• — fS —

»

-• m — -V — IS X — rr — X

M.

9‘ 0 «n 0 , »• X TV m o 0 X IS rs iT IS X X IS X X

1^ — m — — m •- IS IS X — — m n X o

X CD 0 r< 0 X o X o X X |V X X X iT 3- fs IS fv O X 0 0

ta •• — — m IS — n — IS — n IS ri IS X X 0

X

z> m TV X — O' f-> IS ip c X •0 fv — X iP O c X — X X fv z — fs fS «n — iP IS <s X IS IS X — n n — O X 0 0

X

<k <S 0 » 0 <s •o f'l 0 fv o IS X — X — X 0 X 0

X fs «n vP X — rv IP X 0 IS r> r> X X n X n n IS X c 0

>r

•< i/t a- *p 0 m CO iP o O' rv 0 IP Ul m 0 c fv IS X rv o X X m a- IP 4P fS 0 43 •« —

•

IS IP ra 0 X — U3 X n rl X X —

«• —

fS «s o O rv n m *n rv fv 43 — X fv C c U" X X IS 4p 'O ® •c X e <t — m 43 fv iT — 0 0 IS ri u^ — —

•n kP r«* < ip o 9 <r c IS Ul X ri IS — IS iT IS 0

iP c X X fv iP fv r-t rv 0 0 fv iTS X X IS X

IS <s «s . •o IS O' rv 0 ra 0 ry iP fv X o o rl S< X 0

G <n 0 rn fT, IS iP X X C3 X — 0 n X 0 rl Ul ^ — X o* X IS vO IS 0 X , CD 0 n 0 o X 0

4> <S X o X fv Ip iP — rv —

•

iT IS IS Cs X X rl X 0 X — — — — — — ts — — — — IS -

X

V9

tM if* >-

•*- Ul >- IT Lu. hi 01 z -1 — r— X -a z u o a —

1

— r~ o UJ _i

or “ >• Z a. o h/ or < a U.I ?: w or o z « < < o IP r (L o u. Ui <4 lU c* o z

»- Z o z o a z o •— o < IP % X _r _l z z £ z o >- Ui -i z r- •< y~ UJ o < <t •—

hi - X r > < — Si C- l/T Z 01 r- < > z r- O UT i IP VJ < u _l c — 2. 13 z z X u: z 0 •4 V CP -t O Ui '< <. —

1

r- z I t*i O o 0 UJ _1 •< UJ < o £

O Z “> X hi w X I £ u. sJT c. «( IT 01 c _i
Table

69

a.

First

Code

Plan:

Issue

from

Top,

Return

to

Bottom

of

800

-Code

List

in — o

o >

h* — a* a

CM

CM

CO O

in

o- — o — o- — 3

“ IS

— K o

O' o- ® —

CS O

w cs,

® IS o

in —

0 0*0

o —

*

^ cs o m a* o « IS m in o

ps. ^

— cs o ® —

Q ^ O

iT < -O OC «M

rv o o

IS

rv 3- o

iT ^

IS 'O o m {> C) O — m in o

in o in o

•“ —

'« o o 9^ in o ® IS o

iT in cs in o

p*. cs ^ y o

® —

O *n o

«o 0 9-0 O O P^ O o

in cs o

«« in -• IS o O IS c

n • -o m o

9

* 9 CM O 40 O O

9-v —

0^0 0

IS P^ m m o

in —

® m o

® cs

I *

in in o n O' <D liioo in — o X in o

o rs IS IS a

I (V > 0*0

« — X—O COOO cs o o

cn ® o — m

m IS o

in cs m in ofs —

.

o o o

in cs p^ o o

cs

in o o

O IS o > o

< —

0 X 0 « o o CO CM O

CO

rv o o

> IS — « o

>c —

> ® o

® — 0 X 0

CM > P^ O CM O O

m CM > > oO IS

in — o

P^ CO

#7 0 0 o o o

m CM X o o

CM X > 1.0 o

P^ X

in X o X ^ o — a 'O <o o — CM O

® CO X ® o

'C X moo « a o CM o o in®o ® o o > IS o CDOO OOO CM o O in O O "O o o > o o >oo

^OO ®00 COOO CMOO <0 0 0 X o o

® o o — o o ISO ®oo in —' D

o > o o «M o o CMOO p^oo in o o is o c

CD— o 'COO C4 o o O IS o

cs

in o o in — o 1^—0 X— o ^oo moo xoo ®—o >oo

X o o > o o X o

'C moo ® IS o

» CM O

CM — o o o ® o

m

in — o 'O X o — o tf» o o > CO O

K* —

® o o

in —

X ® o ^ o c

9) ® X o o —

P< Ps< O

iTt —

Chino C4 o o OOO «n m

O' 'C c

® —

uj in

z> cc O Ul

q: >*

UJ o

D O

cy z o < 0 X

10 Ui 2 -I < m

U) •< o >

o •« o

UJ

-I o

^ o

Z) O -w o

« z

kJ19 UJ Z -J X ^ X <

Cl _J VJ ^

o — o — o

oo

o >

in m o < ^ a: o

> ^ o «

< c ^ c

Q O Clo

z

O UJ z ^

< ®

z <

Cl .J o —

h- UJ < O >

in o *< or o

cn

UJ19 UJ Z _l X •« o O _I o — o —

UJ < P- UJ < o >

in o <

inUJ

19 UJ Z ^

< ®

I «

o >

in o <

(T o

>> «J O > -I o

U- c ^ o o < o OOO Z O O O

p- z »- o z »- <*^0 0 P-<00 ujx-«z inx«<z

oc o

19 m

Ul O UJ> o o

o < c OOO Z

< o o

X < z

u, c -JO P- o o

O o z—

O O I

•< z

19 UJ Z J

< ®

X ^ O _J o —

P> UJ < o >

in o <

q: o

UJ Ul > o o

o ^ c

O O o

Z p-

•< o o

X •< z
Table

69b.

First

Code

Plan:

Issue

from

Top,

Return

to

Bottom

of

800-Code

List

-

O

eg o ® O o — n y y O'

rs, ip — .

9^ G

O t/> kp oX o

o X

X o — -c o X O

X —

l/> ^ o

o tn o

iT <n o o •o o —

o ® o

IS *0—0

1C —

ifi rs. o

m

4P (^ O

X CM ® lA O X O O ro o

o — — X o ^0*0IP —

CM X O

cn —

*0 CM o —rv — o ^ IS o

CM CM CM ® O

kp

r*. iP o

iT —

S) o

W 4 ^ <n o

o« —

^ Ch o

*o —

in o o « CM

c-J iP O X IS O ® X o

X —

m kP o —

rv IS o

X

IS X o

X —

O* O' o « o iP o

. —• rs

r«- rs. O

IS X — o f*%xo

iP o o

IS —

r«s ® o

CD X iP O

O X O IP o

IS

IS IS o —*« a o

— i« — o o rs. ® o Pv fp o

iP IN — IS O

O iP

iP o o moo moo IS X o o *0 0 0 — OO — OO lP O o IP o o ^oo

QOOO 'COO c ^OO coo iPOO

C— O tPOO •OO moo o o o

ts — OO moc xoo isoo — oo

ISO IS— o — OO — OO

rs. o o — ISO tPOo X— o xoo o is o — O C fs. o mo c — o

X m o

rs moo p*s X o 0 — 0 X ip o 0 X 0

X — O X kP o p»0 XX.O «DCDO

rs ip o X ® o

m ip ^ X o X X o IS c o c

m X o

IP IS X o r^mo xco is ® o m cp o

orUJ

O Ui Z -J X •< KJ -I o >

o <

-J o

< o

3 O

-

u o

•« z

V9zX

KJ O — o —

UJ Z -J

— (P o < o >

X cr -J Q: w

UJ O Ui > «* O Q- z o ^ o ^ 0 0 3 0 Z

>- z r- ^

IP < u/ o —

3 X Z O

O Z

X •-

> -J o 0^0

0 3 0

z r-

•< o o

X z

W UI O UJ O UJ Z z ^

< o < tc X ^ X -« U -1 KJ -I o — o —

^ UJ « UJ o > o :>

IP O ^ (P o ^

_» X o

** UJ UJ >•>30

z o « o 0 0 3 0

IP z ^ ^ « u o O X « z

3 O

•« o 3 o

IP IP

UJ X

O UJ Z 3

Q > o ^

Ui UJ 3 Ui UJ o o

z o

< z

in X

o

3 O

«« c

3 O

r-o o

« z o

handovers

to

31

23

29

22

»

I

6

I

R

S

M

3

I

3

7

7

I

2

28

27

3

1

3°

20

21

20

?0

33

932

ACTtut

CODE

Changes

001100000000791110220102

23

NO

code

available

oooooooooooooooooooooooo

0
Table

69c.

First

Code

Plan:

Issue

from

Top,

Return

to

Bottom

of

800-Code

List

^ O ’ CD O O

I/) (M o* O — fv

<0 0-0 n

— ^ o

fs. o

O N c

u> — — rv o — i/j in o o

«o rv o

CO

Ifi O

9

CD CD O — o o ^ o o

0-0 0

< —

hs. un o c^ o o n :r o

j — n moo o o

•c o fX o o —

0*0 0

<*4

o

ooo (N o ®-*o

-0X0

Ifi

0X0

« — o

I — m

rv o o ooo

— o > -* o — o o

in o o

'O

e* -o o o <N o ^ — o

•• (M •0—0 -0—0

O O

•o o ifi o > m orio -Oi/lO 0—0

— •e o

<

0-0 0

<o X IN o

O' IN iT IN O

IN —

IK o

•«

O* X o

iT —

in o o

IN

in cn o

IN X — C O^ O' o

lO IN O

in —

— in o O IN

IN O O X o

IN O

in —

s o in — o 0 0-0

o- — ooo in IN O

— O* O

IN X O* O IN — O ooo in IN m — o -0X0 —•*0

®oo iNOO in—

o

IN o o in o o

0*0 0 -ooo moo — 00 IN O O

INOO r^oo •«—

o

O O IN O O

OOO xoo xoo X IN O

IN — 00 fv o o

— 00 -ooo -ooo ooo moo r- o o moo «— o pv IN o CP' — o <00

— O INOO 0—0 — O CDOO — IN O

xoo moo moo xr^^o — — o 0—0 ooo -coo

in

IN m o XOO IN —

m IN o ^ o

X — c -ooo m IN o

-o — XOO X m o

m in o m o in m o

X —

o m o xoo

moo IN m •« o O IN

CD O O O IN O

z

UJ

in

kJO

z

X

> m

4 — LJ W >o

in o

•« z I in < z X

o

oo

z

13 UJ Z -J Xo

o — o —

m o *< or

13 UJ Z -J ^ c

I ^

\J ^

o —

UJ < o > m tn o « — cc o

Ui ^ UJ UJ > J o o >

in o ^ o 0.0

— O O UJ «< o

X Z »> UJ z

o. <« u o z ^

X X < Z Z X

-I o

^ o

O KJ

u; o

z

a:UJo •« c ooo

— I

X

%J

O o

^ z

inUi

13 UI Z -J

•< o

X <

UJ _J o —

UJ c o >

to O ^

or o

UJ Ui

>« -J o 0-^0

O O UJ Z H- c o o

X z

o c

z o

< z

Ui

in

actual

code

changes

NO

code

available
Table

70a.

Second

Code

Plan:

Issue

from

Top,

Return

to

Top

of

800-Code

List

O

O 'O

«o o M —

CO wO O

O' rg in

O' 'O o

fM —

— in o

o- o

03 in

« in o

lit o

o o

o

'O o

—

in — o

rv in

CD CM O

in < o

in y

«N o

r". tn

#n o

in n

o in o

O CD

O' — o m —

® o o

in in

rsi O' o

'O o o o

^ n

o a o

O' CD

in rv O

'O m

3- <N o

rv <D O

> ^

O' o

O' O o

0> CO 0—0

O fsj O' o o

fs IN* 'O o

in o

in m o

O CM in o

rv in o

#o —

o o o

o O'

INI ® O

•o #n

'« o o

04 o or*. 'O

'O CD O — 0^ in CM o

in m

o o o

in o o o o — O

n4 —

in — o o ® o o

'O o

ffl a o

«« 'O

fs. 'O o

O' (C — in a • 'O in O O' o

fM o <c o03 r>'' — CM O

m —

O' O o o o o ® c

O CM

rt 'O o

Q 'O

CO o o

CM 0—0 CM CM O fM O

m <n

'O 'O o

fM —

— mo

CD f''' o rv o

fM

in — o

o tn

coo fMo cn o

o —

O O' c

fM

C 'C o

in —

in CO c

fM o c c

fM —

o- ® c

o m fn o

m —

O' c

o —

O fM o

iT

«r CM o

C. < m o c

o —

— in c

s in o ® o

in ®

£o

in

o

c C LJ itJ a: > -i c o < o o

z -

CC X << c

z

X

> —I *:i < c < o

C O

r 2 »-

«C 4^ C

V7 Ui 2 -J

•< m

X

> -a c

C «1 o O O W

O LiJ 2 -J

m c

ct> ^ o

C ^ c 2 C D O

O 2 K-

<i U C m X < r

o£

< c < o

-I a z> i-» > < o c

O —

o —

“ «1 o >

U > C

or i*/ > -I Cl :r ^

o < o 0 3 0

< o c

I <. 3

WATiMING'^^r.

HANOo'/fK'STO

flV

r, 7

50

26

M8

|9

[2

&

8

9

29

68

79

7S

09

70

75

09

aOlOl

09|O3

01

1306

ACTUAlCnnrCHANGFs

S2

21

22

10

7

3

2

2

0

1

1

18

57

75

65

77

63

62

69

69

77

6l

71

88

925

Nncf)DfAV/«ll.

AHLf

n

n

0

0

n

n

n

ci

O

n

O

O

n

n

n

n

n

n

n

n

n

n

0

o

0
Table

70b.

Second

Code

Plan:

Issue

from

Top,

Return

to

Top

of

800-Code

List

X

19

moo —

o o 0 (S o —

< in o

O 03 — ^ — o o

O ^4

tsi —

-• fs. o — O — -o o oO' rSi O

y fM

rv o

^ 04 04 04 O

O' m

•n o* o

PN. T- m oi o fs. ® o

9’ 04 0X0 <n

04 O 04 O m 04 0—0 <n 04 m CM o

O' 'O — 'O o0 J1 ^ ^ o

04 <0

O' X o

04 — 0X0 04

04 X O

X —

O' ^ Q

04 —

^ — O

0 moo 0 -o m <n o

X o

O' 0 o

04 0 O O

O —

X o o

<n 04

<n <n o O O' — O o

m

>^0 0

m —

'O o m 04 — — o

04 O

04 0 04 O04 — 04—0

04 0X0 &' X

0^ 0 o

Ow

O' o o

04 fN. 04 O O m X

0 > o

0.0 0 m X

04 O

X

0 04 O

0 m

O'. ^ o

0 0

X* »• o

O lO X 04 O4n 04 O 04 O —

0 0 O

0 m moo n o> o

o. X

X m o

^ m

0 m o O 0 o

0 m

04 0 O

X

O' X o

0 X

04 O

0 X

<n 0 o

— fs. O' 0 o

4^ n 0 o

01 «• m o

04 04 moo O' X

X X o

0 X

o. m o

— 0

O' r< o

m — o

04 04

O' 0^ o

0 m

X ^ o

0 X

X X o

o 0

o 04 O

04 —

OI O' O

0 o> 0 O' O 0—0 — ^

O' O' o m m

O' 0 o — 0 o

O 0

ri — O

04 0 0 O

0 m

0 m o

— X o

04 m m c

04 c — c

<Si — 0X0

X —

0 0 C.

04

O' O' Q

04 O O' o m 04 X 04 ^

X —

o m c

X 04

04 0 O

04

o» O

n —

O' O'' o

O' 04 « m c

X 04

X O' o

X —

O'. X a o —

X 04 O m 04O' m o

— m

04 m o 0 o

O'* m o

m 04 04 — c

oi r4

O' m c 0 X X 0 c m o»04 m o

— m

oi c

X oi

m

IdO UJ r -j < sc. X < u -I

IaJ *x C >

c <

IT Id Z J

Id < O > LO C «c —

cr o

m

IdO Id Z -I < Ci X c

o

in c <r -d m

m

u-O ad z

«C X

X <«

o >

c •«

Id O UJ

m

UIO 4d Z^ X

X ^

Id —I

Ui <

Q >

o -<

m

IdO 0

.dc. >

c < > -J O > _i C 0 04*0 zo<c Qcor>vd ooz)id z

Id Z d* p- z ><ldO lA; -«r Id O — zx<z rji.«z c

id O Z o X —

> -J o > >

o « c z o O 3 Id O O

z in z

Id o ^

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«. z

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^ w

=> ^ -

o o

o c z o< o 3 O

X z mio

-I

Z d- —

4 0 0 z

't z

O Id z ^

IT O 't o

id uJ >30 o •< o

0 3 0

z »- ^ o* c- 1 z
Table

70c.

Second

Code

Plan:

Issue

from

Top,

Return

to

Top

of

800-Code

List

rv o

o o ijy <0^0

p*>* O -O ZD

'O r«- — CD O CD — o

CD tO lTi r*- rsi —

— <N o

CO in —

'O r> c

<o in CM m o

X —

CD O

fv* --

rs o

-O r»

rn o — o-

•« O O 3) O

'O rg ^ — O — ®

(> o o

C'4 —

o o o

^ X

o* o

X — 0—0 — o 0—0 m — — o o 'O — o

in »M ® — o

— o

o «M o

fS —

tn o

<43 #n

<^ X o

X <M 0^0 0 — O" 43 O O

04 — in o

rs. rs O 43 O

>0 rg

rv o o

04 —

in o 43 r. CD 04 —

.

— 04 O

43 <n O oi o

43 O

X > o in X o

04 —

O* 4) O

•0 X

O' — o

in <n

in X o

04

in oi o

O O'

0> ® o

in o) — oO GO

04 4> O

in 04

4) OI O

#n 04 0-0 0

o- 43 — no 04 — 0X0 m n

X -o o

04

X o

04 — <N n —

X — c

X rg

f4 Ol o

04 C X o

04

43 X C.

in fN»

03 43 C

X —

n o o

43 1-1 O- Osi oX —

OI kn o

X —

m CD o

O- 43 C n c

X —

X o, O m CO o

o ®

</> u. Ui Z -I < cc X *« O _-l o —

3- U. <f O >•

in c <

O uJ Z _3

^ LJ «

iC. in C -a

in

UJ0 UJ Z _l < CD 1 <t w —; o —

- UJ < C >

in c <

a o

< CD X -*

Cj >

in o <

Z -4 LJ _l O —

Q > m C

(r

UJ 2

Ui

> -I o 0^0

0 O u/ Z fc- < IkJ o

1 < z

> _» O C J> ^ c inc<o ao<io — Q o u» I z

a < o o

< Q o

Z X < z

> _J C > -J c

C <t O W c ^ c 0 3 0 _J O Z> O

Z >“ z -

< u; o >“<00

1 -4 Z >4 I <X Z

Ui

in

>• w o O C -s O

Z CD Z> <J

<< z -

_J < O o

0

U

0

0

0

0

0

0

Q

0

U

0

0

0

n

U

O

U

u

0

U

0

0

0

0

JIQ'rll^AVJijCiJCfl

0

S

L

“j

C

9

Cl6

9

^

0

I

I

0

0

I

t

1

1

1

C

h

h

(

S30NtHD)QuJ

t’rUJ»

09C

6!

9Z

9?

ft

II

et

oc

Ih

oe

01C

I

?

C

^

6

0

9

11

6l

IZ

61

6l

0^

Oi

SmJAOqn^M

o

3x»i

n»s
Table

71a.

Third

Code

Plan:

Random

Assignment--800

Codes

tA O O

Q ^

-• 3* fv O -•

^4 o* m f>4 o >

3" wO

(N -* 3* 3-<n m

o*^ m

CO ^

CC ^•> CD 3 rsj <N

0 X 0

O <M -•

J-l (Si <n (N — X o

o ^ W

0

lA

-0 O CD ®

fN. o m ltj X ox® o — —

«*) ». CD lA O Lf> O

O f>4 <s» ® X O

lA O X

lA X

rv — —

•

O fvi <5 ® —

O — Pw —

0 -0 ®

o — —

lA ® (A

'O O X X o o ^ ^

— -0 o

O — CSI

-O »-1 X

X

X C4 O

O —

O O X

04 O O

o o o

lA —

® — o ® rsj ^

O -o X ^

X ® A

O 04 CNi 04 rs. >-o O O rv. ® ,

45 X -O — 04 04

»A — Pv

lA —

cA O X

Os. .X « 0-0-0

iA o — 'n

hk. — ^

lA ^ «n O 04 o o o

< — —

,

a 04 X

r-. — «

P-. O- X

O- — 04 — — CD ^ ^

O —• ®

® 04 -»

O' O X

0 ^

Ch O o^ O og 04 A -O X

0-. ^ ^

®

® oj m

<n X o a

04 og #*) O' 3 A

0^ ^ ^

X 04 04 n-O 04 04 — X A

® — •— O 04 —

04 AAA

X

> — 04 04

X 04 04 n

-0—0

fv — o

04

® O-^ A

A ^ O <H 04 O o —

rs. —. —

® ® A

A

P*» X

X

X A

A

® -C O — —

O'. fs. A — — O 04 O 04 O X X

A 04 04 — X ® — —

x:%9

i/t er ui 7

3 X

o u: o o ^ 'ui a Q W

A O

X O G

Ui LJ X > 3 P- UJ O << vj r> Q 3 Lu

cy z X 3 < *3 X 0 X <« UJ

A

Ui A VT

UJ X ^ < 2 X

< U>

c

KJ G

o < o

O 3 UJ 2 Z •- X ^ < W X

o

O- UJo A 3

X V-i O <r O 3

2 •-

Ui X < u

A

UI A

UJ 2

O ^ 2 X

•< vj O G

Ui o

c o

A C

X 3 3

Ui UJ

>• 3 »— 2

O

^ w X >- X 3

A

UI A C5 UI 2

A <

2 X < 3

r 3

•>o « 3 3

2 »-

A

U

r X 3 o

O O < 3 13 3 3 2

X*<3 3 T < 3 XXX3

A

Ui A e

UJ 2

o < 2 X

< 3

3 3

C C

»- U C G 3

A C

2 X 3 G

C U 3

»~ > 3 »- O C 3

3 UI — 2 »- X X C 3 X A I <* 3
Table

71b.

Third

Code

Plan:

Random

Assignment--800

Codes

tiy rs. n fs. GO — cO ^ 'O

rs. (ii

CO ^ ^

a- 03 a> n — — O :r ^ X J1 O" O — L/1 *n — >

IM lO

o> ^ ^

li^ rs. CS m — f>*

O 'O X

vn o in 'O 'O iO oC4 — ^

O iO 'O 00 —

«A •• n« in ^ 00) X 04 Oil

r> iO C> O 04 —

> -p

in rn 04i

CO X 04 04 ^ 04 X^

X J» > 04 —

04 04 Oft 04 O ®

iD

Os 4) 4) iO04 43 Os X^ o 04 ® — —

fK. o* « 04 —

P- 03 irt o — —

'O 04 Os. 45 —

.

O O

P- — —

s

in > O

-O — <0—0

® ^ ^

0 fs. in m

1/10 —

o- —

X Os ® ^ —

fs o —

— — Oft

1/1 — m

04

Os 1/1 rn ® — —

X ® ® X *n o

O 04 0« O 04 —

04

04 ^ rs. 'O

Os 1/1 X

t/1 — ox

o — — moo 04 P Os o

® —

.

— o o

04

in 04 o

04 O 04 —

04

41 04 04 X

-P 04 —

04 o m

U) X X 04 X

ac

V5

— 04 04 m

m Os ^

in

m

UJ

^ X

< KJ X o

^ c O

c

<J c. O ** Ci 3 O uJ 2. r- X

UJ

in 13 Z X

< o

X

W UJ o o

»- UJ O

3 U

IT O

X U O

Ui UJ ^ -J •- X c <t u

C O O Ul - X X n < u» X O X < UJ o

X

X <> 4) m

Os X m

® — —

U)

UJ

in. UJ

in— in j a: O UJ 0. >

< c

Z 3

< z — < O X

X l/l 'P <n

VI cn i3

UJ X o < Z X < u

X

W UIo

UI o c u

c

«1 u o UI - 0. W X

13 <r Z X

<< UI X

KJ UIo

Ui o

O UJ o

KJ 3

® — ^ X —

04 « >

'p

Ui u

r- ^ > -I ® o o o O M

tn

Ui m v9

UI z o < Z X < u

X

O wJ o o

>- UJ o

3 W

in. o

X %-» 3

UJ w

-I »“ c* < o 3 3 UJ Z »- X

< u> X sx^ui mz<uj MIAMI

HANDoVfHS

TO

3

1

23

29

22

9

I

6

I

M

5

M

3

1

3

7

7

I

2

2

B

27

3

1

3

O

2

^

21

28

20

33

932

actual

(.OOECHaNGES

0

12

1

1

0

I

0

0

0

0

0

0

1

0

2

3

2

1

2

I

3

0

2

23

LXHEcTFDCdntCHANr.ES

1

0

I

0

0

0

0

0

0

0

0

0

0

1

1

I

2

2

I

1

I

1

21
Table

71

c.

Third

Code

Plan:

Random

Assignment

--800

Codes

— O

tn (Si o — —

rv <0 ^ CD O

nC — f>t r> ^ ® — Xo

® oi wn — rs* -• rn fn

iT) O O (Si — —

o

« <M -* ® (£ (N o< n <-n

fv m X

3

- rs* O —

IN

rn o rs. — O <M O (N —

(Si

(Si ® 'O >o O -O rv —^ O (Ni ^ ^

(M o o o O 'O ® — (S

-O — lA

in

>0 <N (SI — (Si <N

»* -• J> —

O ® 'O >0 lA O >

(h — ^

>0 (^ 04 O (SI —

<n o in 'O sO ^ ® —

<>• — 04 ^ «n so u>

la O —

(Si iA -» a- th 04 O O O

04 m sO 5

* in —^ ® 04 O — (Si

ot o a* (0 O 3“ y ^ ^

rs O O 0 3-0 m

^ o o moo

— O

«o o o

(Si

o c o

'C (S S3 wn —

o 04 m

3

“

S) —' m (Si 04 — in c so O (Si —

0^0 0

^ ® ® m 3“ m lA (N — in in in O -• (SI O (Si Oi m

Ui m o

ui z o <

z z

o o - LJ C O O

(A O

0:^0 0

Ui UJ u J “

o ^ o

® O O UJ « Z ^ 0. •n << «. Z X < UJ

o

z

Xu <c"c

US C C WJ

•-* O 3 aJ X Z i- 0-

a. < o >< X X <

UJX

inUJ

wn o

UJ z 0 <c Z X < u

1

Ui U

o o

»“ Ui o e yj

in in o ^ Ci u o

> _J o *“ a o o

< O 3 UI

UJ z »- a Z < WJ M. Z X •< UJ

US

U) in c

Ui z

o < Z X < UI X

ur UI O O

“ UI o O UI

in o

:r <j a

Ui > 3 K O C < UJ O O 3 bJ < Z >- X

UI UI X — X ^ uJ X

UI

US

UI

ir. 15

teJ z o < Z X < UI Xu u;o

UJ 3

O UI c O

•4 UJ 3 ^

r- X

U» X

a o

Z 3 actual

cooe

Changes

EXHE

cTEL

code

CHANGES
t,
I/f