appendix 2 stage 3 (cube) handouts and lecture … · 2012. 5. 31. · cube–theintelligentchoice...
Post on 12-Feb-2021
2 Views
Preview:
TRANSCRIPT
-
APPENDIX 2
STAGE 3 (CUBE) HANDOUTS AND LECTURE MATERIALS
-
Disc
over
�Cub
eth
e�GI
S�Tr
ansp
orta
tion�
Plan
ning
�Sys
tem
Intr
oduc
tion�
to�C
ube
Wha
t’s�C
ube?
•Cu
be�is
�a�c
ompl
ete�
trav
el�fo
reca
stin
g�fa
mily
�of�s
oftw
are�
prod
ucts
�that
�pro
vide
s�ex
cept
iona
l�and
�eas
y�to
�use
�cap
abili
ties�f
or�th
e�co
mpr
ehen
sive�
plan
ning
�of�
tran
spor
tatio
n�sy
stem
s•
Mad
e�of
�man
y�Fu
nctio
nal�L
ibra
ries:
•Cu
be�B
ase
•Cu
be�V
oyag
er•
Cube
�Ana
lyst
•Cu
be�A
venu
e•
Cube
�Dyn
asim
•Cu
be�C
argo
•Cu
beLa
ndCu
be�L
and
•De
velo
ped�
by�Citilabs�(U
sa/U
K)
A2-1
-
Citil
abs�&
�its�c
lient
s
•Ci
tilab
s�was
�cre
ated
�at�t
he�b
egin
ning
�of�2
002�
via�
mer
ger�
fUAG
(ft
bd
ith
US)
dth
of�U
AG�(a
�soft
war
e�co
mpa
ny�b
ased
�in�th
e�U
S)�a
nd�th
e�so
ftw
are�
divi
sion�
of�M
VA�(U
K�co
mpa
ny)
•Co
mpa
ny�is
�ow
ned�
by�th
e�Fr
ench
�eng
inee
ring�
grou
p�Systra�(R
ATP/
SNCF
)
•M
ain�
offic
es:
•Ta
llaha
ssee
•Lo
ndon
•M
ilan
•Pa
ris
•M
umba
i•
Beij
ing
Cube
Bas
e
Beij
ing
Cube
Dyn
asim
Citil
abs�&
�its�c
lient
s
•W
ith�M
ore�
than
�250
0�us
ers�i
n�70
�cou
ntrie
s,�C
ube�
is�on
e�th
e�m
ost�u
sed�
trav
el�
fore
cast
ing�
syst
ems�i
n�th
e�w
orld
•Ad
vanc
ed�m
etho
ds:
•Cu
be�is
�a�m
odul
ar,�i
nteg
rate
d,�fu
ll�fe
atur
ed�p
rodu
ct�li
ne�fo
r�the
�tran
spor
tatio
n�pl
anni
ng�
proc
ess�(
pass
enge
r�dem
and,
�frei
ght�d
eman
d,�m
icro
simul
atio
n,�a
ir�qu
ality
,�rep
ortin
g).
•pr
ovid
es�a
nsw
ers�t
o�al
l�the
�pla
nnin
g�qu
estio
ns�fr
om�te
stin
g�ne
w�p
ublic
�tran
sit�a
ltern
ativ
es�to
�ro
ad�p
ricin
g�st
rate
gies
.
San�Fran
cisco
Washington
Paris
Lond
onSydn
ey
Hon
g�Ko
ng
A2-2
-
Intr
oduc
tion�
to�C
ube
A�co
mpr
ehen
sive�
tran
spor
tatio
n�pl
anni
ng�sy
stem
•Cu
be:
•A�
com
mon
�inte
rfac
e�(C
ube�
BASE
)�•
Func
tiona
l�lib
rarie
s•
Cube
�allo
ws�t
o:•
add�
func
tions
�as�r
equi
red.
..�•
...w
ithou
t�the
�nee
d�to
�lear
n�a�
new
�in
terf
ace�
or�c
reat
e�m
ultip
le�p
lann
ing�
data
base
s•
Cube
�is�se
amle
ssly
�inte
grat
ed�w
ith:
AG
ISft
(ESR
I)•
ArcG
IS�so
ftw
are�
(ESR
I),•
Mic
roso
ft�O
ffice
•U
ser�p
rogr
ams
Intr
oduc
tion�
to�C
ube
A�co
mpr
ehen
sive�
tran
spor
tatio
n�pl
anni
ng�sy
stem
•Cu
be�B
ase�
–bu
ild,�e
dit,�
run,
�pre
sent
:•
Cube
�GIS
•Ap
plic
atio
n�M
anag
er•
Scen
ario
�Man
ager
•In
tegr
ated
�with
�ESR
I�Arc
GIS
A2-3
-
Intr
oduc
tion�
to�C
ube
A�co
mpr
ehen
sive�
tran
spor
tatio
n�pl
anni
ng�sy
stem
•Cu
be�F
unct
iona
l�lib
rarie
s•
Voya
ger:�
pass
enge
r�for
ecas
ting
•La
nd:�i
nteg
rate
d�la
nd�u
se�–
tran
spor
t�fo
reca
stin
g•
Anal
yst:
Mat
rixEs
timat
ion
•An
alys
t:�M
atrix
�Est
imat
ion
•Dy
nasim
:�dyn
amic
,�mul
timod
al�m
icro
�sim
ulat
ion
•Ca
rgo:
�com
mod
ity�b
ased
�frei
ght�
fore
cast
ing
•Av
enue
:�mes
osco
pic�
assig
nmen
t
Cube
�in�d
etai
l
A2-4
-
Cube
�Bas
e
Cube
�Base
•Cub
e�GI
S
•App
licat
ion�
Man
ager
•Sce
nario
�Man
ager
Cube
�Bas
e
Cube
�GIS
prov
ides
�unl
imite
d�la
yerin
g,�si
gnin
g,�in
ters
ectio
n�co
ding
�and
�ana
lysis
,�unm
atch
ed�
netw
ork�
editi
ng�a
nd�a
naly
sis,�
char
ting,
�link
s�to�
digi
tal�m
edia
Scen
ario�M
anager�m
akes
�cr
eatin
g,�m
anag
ing�
and�
runn
ing�
scen
ario
s�ve
ry�e
asy�
to�d
oFl
ow�C
hart
�pro
vide
s�ex
trem
ely�
easy
�to�u
se�m
odel
�in
terf
ace�
for�b
uild
ing,
�ru
nnin
g�an
d�do
cum
enta
tion
A2-5
-
Cube
�Bas
e:�A
pplic
atio
n�M
anag
er
Appl
icat
ion�
Man
ager
�use
s�a�fl
ow�c
hart
�syst
em�fo
r�des
igni
ng,�c
odin
g,�d
ocum
entin
g�an
d�ru
nnin
g�th
e�m
odel
.�Inp
ut�a
nd�o
utpu
t�dat
a�is�
show
n�in
�the�
cont
ext�o
f�the
�mod
el�a
nd�c
an�b
e�im
med
iate
ly�v
iew
ed�o
r�di
db
dbl
liki
ied
ited�
by�d
oubl
e�cl
icki
ng�o
n�it.
•Ap
plic
atio
n�M
anag
er�m
akes
�it�e
asy�
to�p
rese
nt�a
�m
odel
�in�a
�cle
ar�w
ay�to
�oth
ers.
�Fea
ture
s�inc
lude
•A�
pull�
dow
n�m
enu�
to�c
hoos
e�yo
ur�m
odel
�fu
nctio
ns.�E
ach�
mod
el�st
ep�h
as�in
put�d
ata�
on�
the�
left
,�out
put�d
ata�
on�th
e�rig
ht.
()
•Fi
le�L
inka
ge�(n
etw
orks
,�zon
al�d
ata,
�etc
.)�an
d��
files
�cre
atio
ns�fo
r�int
erm
edia
te�st
eps,
�then
�dra
g�an
d�lin
k�da
ta�fr
om�o
ne�m
odel
�step
�to�a
noth
er.
•A�
com
plet
e�da
ta�e
ditin
g�an
d�vi
sual
izatio
n�sy
stem
.•
An�e
asy�
to�u
se�in
terf
ace�
to�ru
n�pa
rt�o
f�the
�m
odel
�or�t
he�w
hole
�pro
cess
Cube
�Bas
e:�S
cena
rio�M
anag
er
Scen
ario
�Man
ager
�hig
hlig
hts�k
ey�m
odel
�pa
ram
eter
s�and
�dat
a�fo
r�eas
y�cr
eatio
n�an
d�te
stin
g�
–A�
set�o
f�inp
ut�d
ata�
is�a�
Scen
ario
,�and
�“Sc
enar
io�M
anag
er”�
is�th
e�gr
aphi
c�in
terf
ace�
for�s
cena
rio�c
reat
ion,
�edi
ting�
and�
man
agem
ent
–Fo
reca
stin
gha
snev
erbe
enea
sier
High
light
the
py
gof
�scen
ario
s.
–Fo
reca
stin
g�ha
s�nev
er�b
een�
easie
r.�Hi
ghlig
ht�th
e�pa
ram
eter
s�and
�dat
a�in
�you
r�mod
el�th
at�y
ou�w
ish�to
�ch
ange
�bet
wee
n�sc
enar
ios.
–Cu
be�a
utom
atic
ally
�loca
tes�t
hese
�val
ues�a
nd�c
reat
es�
men
u�pr
ompt
s.�A
n�ea
sy�t
o�us
e�gr
aphi
cal�i
nter
face
�allo
ws�
user
s�to�
run�
s pec
ific�
or�a
ll�sc
enar
ios�w
ith�n
o�ad
ditio
nal�
pin
terv
entio
n.
A2-6
-
Cube
�Voy
ager
Adva
nced
�met
hods
�for�p
asse
nger
�fore
cast
ing
Cube
Voya
gerc
ombi
nest
hela
test
inCi
tilab
s'te
chno
logi
esfo
rthe
fore
cast
ing
ofpe
rson
alCu
be�V
oyag
er�c
ombi
nes�t
he�la
test
�in�C
itila
bs�te
chno
logi
es�fo
r�the
�fore
cast
ing�
of�p
erso
nal�
trav
el.�
Cube
�Voy
ager
�use
s�a�m
odul
ar�a
nd�sc
ript�
base
d�st
ruct
ure�
allo
win
g�th
e�in
corp
orat
ion�
of�a
ny�
mod
el�m
etho
dolo
gy�ra
ngin
g�fr
om�st
anda
rd�fo
ur�s
tep�
mod
els,
�to�d
iscre
te�c
hoic
e�to
�act
ivity
�ba
sed�
appr
oach
es.�
Adva
nced
�met
hodo
logi
es�p
rovi
de�ju
nctio
n�ba
sed�
capa
city
�rest
rain
t�for
�hig
hway
�ana
lysis
�and
�di
scre
te�c
hoic
e�m
ultip
ath�
tran
sit�p
athb
uild
ing
and�
assig
nmen
t.�Cu
be�V
oyag
er�in
clud
es�h
ighl
y�fle
xibl
e�ne
twor
k�an
d�m
atrix
�calc
ulat
ors�f
or�th
e�ca
lcul
atio
n�of
�trav
el�d
eman
d�an
d�fo
r�the
�de
taile
d�co
mpa
rison
�of�s
cena
rios.
Cube
�Voy
ager
�was
�des
igne
d�to
�pro
vide
�an�
open
�and
�use
r�fr
iend
ly�fr
amew
ork�
for�m
odel
ing�
a�w
ide�
varie
ty�o
f�pla
nnin
g�po
licie
s�and
�impr
ovem
ents
�at�t
he�u
rban
,�reg
iona
l�and
�long
�dist
ance
�le
vel.
Cube
�Voy
ager
:�Net
wor
k�&
�Hig
hway
Crea
tes�d
etai
led�
repr
esen
tatio
ns�o
f�roa
dway
�segm
ents
,�int
erse
ctio
ns�a
nd�ra
mps
.Th
is�m
odul
e�cr
eate
s�a�c
ompr
ehen
sive�
road
way
�and
�junc
tion�
data
base
–Pa
thsc
anbe
built
usin
ga
varie
tyof
met
hodo
logi
es:A
ll�
High
way
s:�u
sed�
to�e
stim
ate�
zone
�to�zo
ne�p
aths
�and
�mat
rices
�of�i
mpe
danc
es�fo
r�use
�in�a
naly
sis�a
nd�in
�de
man
d�m
odel
s.
Capa
bilit
y�to
�est
imat
e�po
int�
to�p
oint
�pat
hs�a
nd�a
ssoc
iate
d�tr
avel
�tim
es,�c
osts
,�and
�dist
ance
s.
Path
s�can
�be�
built
�usin
g�a�
varie
ty�o
f�met
hodo
logi
es:�A
llor
�Not
hing
,�All�
shor
test
�pat
hs,�S
toch
astic
–Ca
paci
ty�re
stra
int:�
inte
rsec
tion,
�link
�or�b
oth�
usin
g�st
anda
rd�p
roce
sses
�or�u
ser�s
uppl
ied�
curv
es�o
r�eq
uatio
ns.�
–Ju
nctio
n�ba
sed�
assig
nmen
t:�Cu
be�V
oyag
er�in
clud
es�
met
hods
�for� p
erfo
rmin
g�in
ters
ectio
n�co
nstr
aine
d�p
gas
signm
ents
.�Thi
s�pro
cess
�pro
vide
s�the
�bes
t�est
imat
e�of
�tr
avel
�flow
s,�d
elay
s�and
�que
ues�i
n�ur
ban�
loca
tions
A2-7
-
Cube
�Voy
ager
:�Hig
hway
A�ke
y�el
emen
t�in�
Cube
�Voy
ager
�is�th
e�ab
ility
�to�
repr
esen
t�jun
ctio
ns�a
s:
–Si
gnal
ed�a
nd�n
on�si
gnal
ed�co
ntro
lled�
inte
rsec
tions
–Pr
iorit
ies�
–St
op–
Roun
dabo
uts
–G
eom
etric
�cha
ract
erist
ics�(
num
ber�o
f�lan
es�
per�a
ppro
ach,
�lane
�shar
ing,
�circ
le�d
iam
eter
…)
–Fu
nctio
nal�c
hara
cter
istic
s�(sig
nal�t
ype,
�cyc
le�
dura
tion,
�gre
en/r
ed�ti
mes
…)
Cube
�cal
cula
te�ju
nctio
n�ca
paci
ty�o
n�th
e�ba
se�o
f:
–HC
M�S
ettin
gs�(V
isibi
lity,
�gra
de,�p
edes
tria
n�an
d�bu
s…)
Cube
�Voy
ager
:�Hig
hway
At�th
e�en
d�of
�the�
assig
nmen
t�pro
cess
,�for
�eac
h�de
taile
d�ju
nctio
n,�C
ube�
give
s�inf
orm
atio
n�as
–To
tal�d
elay
�per
�app
roac
h�an
d�fo
r�the
�junc
tion�
as�a
�who
le
–M
axim
um�a
nd�e
ffect
ive�
capa
city
–Vo
lum
e/Ca
paci
ty�ra
tio�p
er�si
ngle
�app
roac
h�/
py
pg
ppan
d�fo
r�the
�junc
tion�
as�a
�who
le
–HC
M�L
evel
�of�s
ervi
ce
–M
axim
um�a
ssig
ned�
flow
–M
axim
um�a
nd�c
umul
ativ
e�qu
eue
A2-8
-
Cube
�Voy
ager
:�Hig
hway
One
�of�t
he�m
ost�i
nnov
ativ
e�Cu
be�c
hara
cter
istic
s'�is�
the�
“pat
h�an
alys
is”�to
ol.�A
�“pa
th”�f
ile�c
onta
ins�a
ll�th
e�re
leva
nt�in
form
atio
n�ab
out�t
he�p
ath�
build
ing�
proc
ess�a
nd�th
e�as
signm
ent�p
roce
ss.�I
t�is�t
hen�
ibl
poss
ible
:
–To
�und
erst
and�
the�
mod
ifica
tions
�am
ong�
diffe
rent
�iter
atio
ns�in
�a�c
apac
ity�re
stra
int�
assig
nmen
t�pro
cess
–To
�fully
�ana
lyze
�diff
eren
t�cla
sses
�beh
avio
r�and
�ne
twor
kus
ene
twor
k�us
e
–se
lect
�link
/nod
e/pa
th�“o
n�sc
reen
”
–Be
st�p
ath�
and�
path
�opt
imiza
tion�
–...
Cube
�Voy
ager
:�Pub
lic�T
rans
port
Cube
�Pub
lic�T
rans
it�fu
nctio
nal�l
ibra
ry�p
rovi
des�a
dvan
ced�
func
tiona
lity�
for�t
he�st
udy�
of�p
ublic
�tran
sit�
syst
ems.
�
–pr
ovid
es�th
e�ca
paci
ty�to
�stud
y�ev
en�th
e�la
rges
t�and
�mos
t�com
plex
�pub
lic�tr
ansp
ort�s
yste
ms
–U
nlim
ited�
lines
,�unl
imite
d�lin
ks�a
nd�u
nlim
ited�
mod
es.�
–Au
tom
ated
�pro
cess
es�fo
r�cre
atin
g�w
alk,
�aut
omob
ile�a
nd�tr
ansf
er�li
nks�b
etw
een�
serv
ices
.–
Abili
ty�to
�repr
esen
t�inf
requ
ent�a
nd�ti
me�
coor
dina
tion.
�
Poin
t�to�
poin
t�pat
hs�a
re�fo
und�
usin
g�a�
varie
ty�o
f�te
chni
ques
:
–Di
scre
te�ro
ute�
path
s�bas
ed�o
n–
All�o
r�no
thin
g,�
–St
ocha
stic
�mul
ti�pa
thTh
eDi
scre
tero
ute
proc
esso
fCub
eal
low
sto
–Th
e�Di
scre
te�ro
ute�
proc
ess�o
f�Cub
e�al
low
s�to�
reta
in�a
ll�th
e�ro
utin
g�in
form
atio
n�fo
r�sub
sequ
ent�
anal
ysis
A2-9
-
Cube
�Voy
ager
:�Pub
lic�T
rans
port
PT�M
odel
ing�
Feat
ures
–Ad
vanc
ed�fa
res�m
odel
ing
–Co
mbi
ning
�fare
�syst
ems�f
or�m
odes
,�ope
rato
rs,�l
ines
–Ad
vanc
ed�c
row
d/co
nges
tion�
mod
elin
g–
Use
r�con
trol
�ove
r�all�
aspe
cts�o
f�the
�pub
lic�tr
ansp
ort�
mod
el –Pr
epar
atio
n�of
�a�P
T�N
etw
ork�
for�P
ublic
�Tr
ansp
ort's
mod
elin
gfu
nctio
nalit
yTr
ansp
ort's
�mod
elin
g�fu
nctio
nalit
y–
Gen
erat
ion�
of�th
e�no
n�tr
ansit
�ele
men
t�of�t
he�P
T�ne
twor
k,�i.
e.�a
cces
s,�e
gres
s,�tr
ansf
er�a
nd�p
ark�
and�
ride�
legs
–De
man
d�st
ratif
icat
ion�
by�u
ser�c
lass
–Re
sults
/Ana
lyse
s–
Skim
min
g,�n
etw
ork�
wid
e�an
d�m
ode�
spec
ific,
�com
posit
e�d
jd
fan
d�av
erag
e�jo
urne
y�co
sts,
�and
�com
pone
nts�o
f�cos
ts–
Load
ing�
anal
yses
��tr
ansf
ers�b
etw
een�
mod
es,�o
pera
tors
,�lin
es,�e
ntry
�exi
t�sta
tions
Cube
�Voy
ager
:�Pub
lic�T
rans
port
PT�M
odel
ing�
Feat
ures
–Tr
ansit
�acc
ess�g
eo�p
roce
ssin
g:�
–ca
lcul
ate�
and�
save
�zone
�leve
l�acc
ess�t
o�tr
ansit
�stop
s–
Get
�sele
cted
�link
/nod
e�tr
ip�ta
bles
–Li
nk�S
peci
fic–
Nod
e�Sp
ecifi
c–
Mod
e�sp
ecifi
c–
Line
spec
ific
Line
�spec
ific
–O
pera
tor�S
peci
fic–
Any�
com
bina
tion�
of�th
e�ab
ove
–U
sefu
l�for
�eva
luat
ing�
proj
ect�d
eman
d–
Can�
iden
tify/
outp
ut�p
erce
nt�o
r�pro
babi
lity�
of�tr
ips�I
J�us
ing�
the�
sele
ctio
n
A2-10
-
Cube
�Voy
ager
:�Dem
and�
Mod
ellin
g
Cube
�Voy
ager
�Dem
and�
proc
esse
s�zon
al�d
ata�
and�
mat
rices
�acc
ordi
ng�to
�use
r�spe
cifie
d�ex
pres
sions
.�Zon
al�d
ata�
and�
mat
rices
�are
�inpu
t,�an
d�m
atric
es�a
nd�re
port
s�are
�out
put.
–m
ultin
omia
l�and
�hie
rarc
hica
l�cho
ice�
Ther
e�ar
e�no
�def
ault�
proc
esse
s.�T
he�p
ower
ful�s
crip
ting�
lang
uage
�com
bine
d�w
ith�u
ser�
frie
ndly
�wiza
rds,
�allo
ws�f
or�th
e�ap
plic
atio
n�of
�all�
type
s�of�c
omm
only
�use
d�de
man
d�pr
oces
ses:
mod
els
–cr
oss�c
lass
ifica
tion�
and�
regr
essio
n�m
odel
s–
grav
ity�m
odel
s–
mat
rix�fr
atar
ing�
Cube
�Ana
lyst
A2-11
-
Mat
rix�E
stim
atio
n:�C
ube�
Anal
yst
One
�of�t
he�m
ost�v
alua
ble�
piec
es�o
f�dat
a�in
�trav
el�d
eman
d�fo
reca
stin
g�is�
the�
mat
rixre
pres
entin
g�ex
istin
g�tr
avel
.�It�i
s�the
�bas
is�fo
r�for
ecas
ting�
and�
for�a
lmos
t�all
–Cu
be�A
naly
st�is
�the�
Cube
�func
tiona
l�lib
rary
�dev
elop
ed�
spec
ifica
lly�fo
r�est
imat
ing�
and�
upda
ting�
base
�yea
r�au
tom
obile
,�tru
ck�a
nd�p
ublic
�tran
sit�tr
ip�m
atric
es.�
–Cu
be�A
naly
st�e
nabl
es�th
e�us
er�to
�exp
loit�
a�w
ide�
varie
tyof
data
that
cont
ribut
eto
mat
rixup
datin
gan
d
impo
rtan
t�com
para
tive�
anal
yses
varie
ty�o
f�dat
a�th
at�co
ntrib
ute�
to�m
atrix
�upd
atin
g�an
d�m
atrix
�dev
elop
men
t.�–
Cube
�Ana
lyst
�has
�bee
n�us
ed�su
cces
sful
ly�o
n�m
any�
and�
varie
d�st
udie
s�aro
und�
the�
wor
ld.
–Th
e�tr
ip�m
atric
es�a
re�e
stim
ated
�on�
a�ce
ll�by
�cel
l�bas
is�us
ing�
the�
supp
lied�
data
.�–
Stat
istic
al�su
mm
arie
s�are
�out
put�g
ivin
g�in
dica
tors
�of�
pg
gth
e�qu
ality
�of�t
he�e
stim
atio
n.–
Exte
nsiv
e�re
port
ing�
optio
ns�e
nabl
e�us
ers�t
o�es
tabl
ish�
thei
r�ow
n�co
nfid
ence
�in�th
e�re
sults
Rigo
rous
�Met
hodo
logy
–Cu
be�A
naly
st�u
ses�t
he�m
axim
um�li
kelih
ood�
stat
istic
al�m
etho
d.f
li
ill
idi
idl
llb
id
ihii
hl
li
ilf
Mat
rix�E
stim
atio
n:�C
ube�
Anal
yst
–A�
pow
erfu
l�opt
imize
r�allo
ws�i
ndiv
idua
l�cel
ls�to
�be�
estim
ated
�with
�pre
cisio
n�th
e�ca
lcul
atio
n�is�
self�
calib
ratin
g
Data
�Pre
para
tion
–Th
e�ty
pe�a
nd�q
uant
ity�o
f�dat
a�in
put�t
o�th
e�es
timat
ion�
proc
ess�i
s�le
ft�to
�the�
user
�to�d
eter
min
e.�
–th
em
ore
data
prov
ided
the
mor
eac
cura
teth
ere
sulti
ng
Inte
gral
�Qua
lity�
Assu
ranc
e–
effe
cts�a
nd�im
plic
atio
ns�o
n�th
e�es
timat
ed�m
atrix
�of�d
iffer
ent�i
nput
�da
ta�m
a y�b
e�st
udie
d�
the�
mor
e�da
ta�p
rovi
ded,
�the�
mor
e�ac
cura
te�th
e�re
sulti
ng�
estim
ated
�mat
rix�w
ill�b
e,�b
ut�it
�is�p
ossib
le�to
�ach
ieve
�wor
thw
hile
�re
sults
�with
�lim
ited�
data
.�
y–
spec
ialis
t�too
ls�in
dica
te�th
e�qu
ality
�of�t
he�e
stim
ated
�mat
rix�
–qu
ality
�ana
lysis
�of�e
stim
ated
�mat
rix�g
uide
s�cos
t�effe
ctiv
e�an
d�se
lect
ive�
data
�surv
eys�w
hen�
requ
ired
A2-12
-
Cube
�Dyn
asim
Cube
�Dyn
asim
�is�a
�mic
rosim
ulat
ion�
syst
em�d
evel
oped
�by�
Citil
abs�a
nd�D
ynal
ogic
�(Fra
nce)
�in�
part
ners
hip.
�Dyn
alog
ic�sp
ecia
lized
�in�m
icro
simul
atio
n�fo
r�10�
year
s�and
�now
�Dyn
asim
�is�fu
lly�
Mic
rosim
ulat
ion�
mod
el:�C
ube�
Dyna
sim
•Cu
be�e
xten
sion�
for�t
he�m
icro
simul
atio
n�an
d�vi
sual
izatio
n�of
�veh
icle
�and
�ped
estr
ian�
flow
s.•
Use
d�‘in
�hou
se’�i
n�Fr
ance
�and
�Ital
y�sin
ce�th
e�ea
rly�
90’s
pp
yg
py
yy
inte
grat
ed�in
�Cub
e�so
ftw
are�
suite
90s�
•M
arke
ted�
wor
ldw
ide�
as�a
�par
t�of�t
he�C
ube�
Syst
em�
since
�200
3•
Curr
ently
�is�u
sed�
in�m
any�
coun
trie
s�for
�m
icro
simul
atio
n:�A
ustr
alia
,�Chi
na,�C
zech
�Rep
ublic
,�Fr
ance
,�Hon
g�Ko
ng,�I
taly
,�Sin
gapo
re,�S
witz
erla
nd,�
Port
ugal
,�Spa
in,�T
haila
nd,�U
nite
d�Ki
ngdo
m,�U
nite
d�St
ates
...
A2-13
-
•Sc
enar
io�b
ased
�Sim
ulat
ion
•O
nly
one
Dyna
simpr
ojec
tfor
alls
imul
atio
nal
tern
ativ
es
Mic
rosim
ulat
ion�
mod
el:�C
ube�
Dyna
sim
•O
nly�
one�
Dyna
sim�p
roje
ct�fo
r�all�
simul
atio
n�al
tern
ativ
es•
Elim
inat
es�re
dund
ancy
•En
sure
s�con
siste
ncy
•An
alys
is�of
�Mul
tiple
�Run
s�inh
eren
t�to�
the�
syst
em•
Auto
mat
ical
ly�p
erfo
rms�m
ultip
le�ru
ns�a
nd�su
mm
arize
s�res
ults
•En
sure
s�a�ro
bust
�ana
lysis
�with
�no�
addi
tiona
l�bur
den�
on�th
e�us
er
•In
tera
ctiv
e�Re
sults
•Co
mpl
eted
�sim
ulat
ions
�may
�be�
expo
rted
�to�a
�Dyn
aVie
ws
prog
ram
•In
tera
ctiv
e�An
imat
ions
�with
�the�
sam
e�fe
atur
es�a
s�Dyn
asim
•Fr
eely
�dist
ribut
able
Cube
�Dyn
asim
�cap
ture
s�all�
of�th
e�in
tric
acie
s�of�t
raffi
c�be
havi
or�a
nd�is
�abl
e�to
�per
form
�de
taile
d�op
erat
iona
l�ana
lysis
�of�c
ompl
ex�tr
affic
�flow
s�whi
le�re
alist
ical
ly�e
mul
atin
g�th
e�
Mic
rosim
ulat
ion�
mod
el:�C
ube�
Dyna
sim
flow
s�of�a
utom
obile
s,�tr
ucks
,�bus
es,�r
ail,�
bicy
cles
�and
�ped
estr
ians
.
A2-14
-
Cube
�Voy
ager
�cal
cula
tes�v
ehic
le�fl
ows�a
nd�p
aths
�for�m
ultip
le�v
ehic
le�c
lass
es
Cube
Dyna
simta
kesf
low
spa
ths
tran
sitan
din
ters
ectio
nin
form
atio
nfo
r
Dyna
sim:�I
nteg
ratio
n�w
ithin
�Cub
e
Cube
�Dyn
asim
�take
s�flo
ws,
�pat
hs,�t
rans
it,�a
nd�in
ters
ectio
n�in
form
atio
n�fo
r�m
icro
simul
atio
n
Voya
ger�m
ay�im
port
�dat
a�fr
om�C
ube�
Dyna
sim�fo
r�fee
dbac
k�or
�visu
aliza
tion
Allo
ws�f
or�a
�fully
�inte
grat
ed�m
odel
ing�
syst
em
The�
pass
age�
from
�the�
mac
ro�m
odel
�to�th
e�m
icro
s�mod
el�re
quire
s�in�
Cube
just
afe
wst
eps:
Dyna
sim:�I
nteg
ratio
n�w
ithin
�Cub
e
1.Id
entif
y�su
b�ar
ea�a
nd�ru
n�an
alys
is�(fl
ows�
and�
rout
ing)
�
2.U
se�C
ube�
Anal
yst�t
o�co
rrec
t�for
�pro
ject
ions
,�cou
nts,
�or�s
urve
ys�
3.Lo
ad�b
ackg
roun
d�la
yers
�(im
ages
,�sha
pe,�d
xf)
4.Co
nfirm
�geo
met
ric�in
form
atio
n�(Ju
nctio
n�Ed
itor)
Cube
�just
�a�fe
w�st
eps:
5.Co
nfirm
�con
trol
�info
rmat
ion�
(Junc
tion�
Edito
r,�Im
port
)
6.Ex
trac
t�sub
�are
a�ne
twor
k�to
�Dyn
asim
7.Ex
trac
t�and
�app
end�
addi
tiona
l�sce
nario
s
8.Cl
ean�
up�th
e�im
port
ed�d
ata�
9.Si
mul
ate�
scen
ario
s�
10.E
xtra
ct�o
utpu
t�dat
a�ba
ck�in
to�C
UBE
�for�v
isual
izatio
n�
A2-15
-
Shar
e�an
d�ex
port
�mic
rosim
ulat
ion
resu
lts•
Sim
ulat
ions
’an
imat
ions
and
data
may
beex
port
ed
Cube
�Dyn
avie
ws
•Si
mul
atio
ns a
nim
atio
ns a
nd d
ata
may
be
expo
rted
•Ex
port
ed s
imul
atio
ns m
ay b
e fr
eely
dis
trib
uted
•Pl
ay a
nim
atio
ns a
t an
y sp
eed
•Zo
om,
pan,
and
nav
igat
e w
ithi
n th
e an
imat
ions
Cube
�Ave
nue
A2-16
-
Why
�“m
esos
copi
c”�m
odel
s?
Tran
spor
t�mod
ellin
g�is�
mos
tly�d
one�
on�a
�stra
tegi
c�‘m
acro
’�lev
el
Can�
cove
r�a�v
ery�
larg
e�ar
ea,�b
ut...
�so
me�
“ina
bilit
y”�to
�mod
el�th
e�re
quire
d�le
vel�o
f�det
ail�i
n�co
nges
ted�
area
s
For�t
raffi
c�en
gine
erin
g�/t
raffi
c�co
ntro
l/int
ellig
ent�t
raffi
c�m
anag
emen
t�‘m
icro
’�mod
els�h
ave�
beco
me�
very
�pop
ular
�and
�use
ful�
area
s.
Capt
ure�
perf
ectly
�ext
rem
e�le
vel�o
f�det
ails,
�but
...�
suffe
r�dat
a�hu
ngrin
ess�a
nd�c
an�h
ardl
y�be
�app
lied�
at�a
�wid
e�sc
ale
Trad
ition
al�tr
ansp
orta
tion�
mod
elsu
se�m
acro
scop
ic�te
chni
ques
�to�
stud
yth
eflo
wof
traf
ficfr
ompo
intt
opo
intv
olum
eof
traf
fic
How
�mes
osco
pic/
mac
rosc
opic
�mod
els�d
iffer
s
stud
y�th
e�flo
w�o
f�tra
ffic�
from
�poi
nt�to
�poi
ntvo
lum
e�of
�traf
fic�
betw
een�
an�O
rigin
�and
�Des
tinat
ion�
=�sin
gle�
unit
Com
pute
�the�
low
est�
cost
�pat
h�fo
r�the
�traf
fic�v
olum
e�
Com
pute
�con
gest
ion�
effe
cts�(
thro
ugh�
volu
me�
capa
city
�ratio
s�and
�re
sulti
ng�sp
eeds
)
A2-17
-
High
way
�Tra
ffic�
Flow
Mic
rosc
opic
�tech
niqu
es�p
rese
nt�th
e�m
ost�d
etai
l�
Mi
il
tit
ld
lh
hil
liitl
dt
How
�mes
osco
pic/
mic
rosc
opic
�mod
els�d
iffer
s
Mic
rosim
ulat
ion�
tool
s�mod
el�e
ach�
vehi
cle�
expl
icitl
y�an
d�ca
ptur
es�
deta
iled�
mov
emen
ts�a
nd�in
tera
ctio
ns�
Tool
s�for
�det
aile
d�st
udie
s,�b
ut...
deta
iled�
resu
lts�re
quire
�ext
rem
ely�
deta
iled�
inpu
ts�(r
ubbi
sh�in
/rub
bish
�ou
t�mor
e�th
an�e
ver!
)�
A2-18
-
Mes
osco
pic�
tech
niqu
es�c
an�st
udy�
traf
fic�fl
ows�o
ver�t
ime
Mes
osco
pic�
Mod
els
Plan
ner�s
peci
fies�t
he�le
vel�o
f�det
ail�f
or�V
ehic
le,�T
ime,
�Net
wor
k�de
tails
Mes
osco
pic�
mod
el�in
�Cub
e�Av
enue
�com
pute
s�the
�low
est�
cost
�pat
h�fo
r�ea
ch�v
ehic
le�u
nit,
�bas
ed�o
n�its
�dep
artu
re�ti
me
Com
pute
s�int
erac
tions
�am
ong�
vehi
cle�
units
pg
Requ
ires�less�de
tailed�inpu
tsthan
�Microscop
ic
Provides�better�d
etails�th
an�M
acroscop
ic
Mes
osco
pic�
Mod
els
A�m
esos
copi
c�m
odel
�allo
ws�t
o�co
mpl
ete�
new
�type
s�of�a
naly
ses:
Qua
ntify
�impa
cts�o
f�ups
trea
m�tr
affic
�con
gest
ion
Mea
sure
�que
uing
�at�i
nter
sect
ions
�and
�mer
ge�p
oint
s�in�
a�ne
twor
k
Isol
ate�
seco
ndar
y�im
pact
s�fro
m�o
ne�in
ters
ectio
n�th
roug
h�an
othe
r
Eval
uate
the
bene
fitso
fITS
(inte
llige
nttr
ansp
orta
tion
syst
em)p
roje
cts
Eval
uate
�the�
bene
fits�o
f�ITS
�(int
ellig
ent�t
rans
port
atio
n�sy
stem
)�pro
ject
s
Sim
ulat
e�al
tern
ativ
e�in
fras
truc
ture
,�ope
ratio
nal,�
and�
polic
y�ch
ange
s�to�
optim
ize
Emer
genc
y�ev
acua
tion�
plan
s�and
�stra
tegi
es
Test
�stra
tegi
es�to
�impr
ove�
arriv
al�a
nd�d
epar
ture
�from
�stad
ium
s�and
�oth
er�sp
ecia
l�ev
ent�f
acili
ties
...
A2-19
-
Mes
osco
pic�
Mod
elin
g�in
�Cub
e�Av
enue
Cube
�Ave
nue�
is�a�
dyna
mic
�equ
ilibr
ium
�ass
ignm
ent�m
odel
Ld
dk
hf
hil
kh
hh
Load
s�and
�trac
ks�th
e�m
ovem
ent�o
f�veh
icle
�pac
kets
�thro
ugho
ut�th
e�hi
ghw
ay�n
etw
ork.
�It�m
odel
s:
traf
fic�si
gnal
s,
roun
dabo
uts,
stop
�con
trol
led�
inte
rsec
tions
,
ram
p�m
erge
s.
Vehi
cle�
pack
ets�m
ove,
�stop
,�and
�que
ue�th
roug
h�up
stre
am�ro
ads�a
nd�
inte
rsec
tions
.�Cub
e�Av
enue
�cal
cula
tes�o
ptim
al�n
etw
ork�
cond
ition
s�
Mes
osco
pic�
Mod
elin
g�in
�Cub
e�Av
enue
Dyna
mic
�ban
dwid
ths:
flow
sflo
ws
queu
es
Vol
/Cap
rat
io
...
Dyna
mic
�dat
a�at
�junc
tions
:Le
vel o
f ser
vice
and
del
ays
Que
ues
Turn
ing
Vol
umes
...
A2-20
-
Mes
osco
pic�
Mod
elin
g�in
�Cub
e�Av
enue
Pack
ets�o
f�veh
icle
s�ca
nbe
anim
ated
can�
be�a
nim
ated
It�is�
poss
ible
�to�se
t�se
lect
ions
�bas
ed�o
n:
Ufl
ik
/d
Use
ofl
inks
/nod
es
Orig
ins
Des
tinat
ions
Tim
e P
erio
d
Cub
e A
venu
e ap
plic
atio
n: S
unds
vall
Mun
icip
ality
A2-21
-
Cub
e A
venu
e ap
plic
atio
n: S
unds
vall
Mun
icip
ality
C
ube
Ave
nue
appl
icat
ion:
Sun
dsva
ll M
unic
ipal
ity
A2-22
-
Cube
�Ave
nue�
appl
icat
ion:
�Hou
ston
�eva
cuat
ion�
plan
In�S
epte
mbe
r�200
5,�H
urric
ane�
Rita
�land
ed�
east
ofHo
usto
nea
st�o
f�Hou
ston
Wel
l�ove
r�1�m
illio
n�pe
ople
�att
empt
ed�to
�ev
acua
te�fr
om�th
e�ei
ght�c
ount
y�re
gion
Seve
re�c
onge
stio
n�as
�a�re
sults
US
290 W
B F
M 1
960 t
o B
ark
er
Cyp
ress
30
40
50
60
70
80
Speed
0
10
20 0
.00
4.0
08.0
012.0
016.0
020.0
024.0
028.0
032.0
036.0
040.0
044.0
048.0
0
Tim
e f
rom
9/2
1 m
idn
igh
t
Cube
�Ave
nue�
appl
icat
ion:
�Hou
ston
�eva
cuat
ion�
plan
A2-23
-
Cube
�Ave
nue�
appl
icat
ion:
�Hou
ston
�eva
cuat
ion�
plan
Evac
uatio
n�ro
utes
�bec
ame�
“par
king
�lo
ts”.
lots
.
Som
e�pe
ople
�spen
t�mor
e�th
an�1
8�ho
urs�o
n�th
e�ev
acua
tion�
rout
es
Fata
l�acc
iden
ts,�a
band
oned
�car
s,�a
nd�
othe
rsaf
ety
issue
sot
her�s
afet
y�iss
ues
Cube
�Ave
nue�
appl
icat
ion:
�Hou
ston
�eva
cuat
ion�
plan
Why
�NO
T�us
e�trad
ition
al�(S
tatic)�m
odels?
Ni
tf
•N
o�im
pact
�of�q
ueue
s•
No�
abili
ty�to
�dea
l�with
�ups
trea
m�im
pact
s•
Link
s�do�
not�d
irect
ly�a
ffect
�eac
h�ot
her
•N
ot�c
ondu
cive
�to�ti
me�
serie
s�ana
lysis
Why
�NO
T�us
e�tr
affic
�micro�sim
ulation�mod
els?
•St
udy�
area
�of�i
nter
est�t
oo�la
rge�
and�
com
plex
•To
o�m
uch�
data
�and
�mem
ory�
requ
ired
•To
o�m
any�
unce
rtai
ntie
s�to�
mod
el�a
ccur
atel
y
A2-24
-
Cube
�Ave
nue�
appl
icat
ion:
�Hou
ston
�eva
cuat
ion�
plan
Chal
leng
e���
Mod
el�S
ize8
coun
tyre
gion
with
47
mill
ion
popu
latio
nin
2000
•8�
coun
ty�re
gion
�with
�4.7
�mill
ion�
popu
latio
n�in
�200
0.•
3000
�zone
s�and
�43,
000�
links
•Ar
ound
�14,
000,
000�
daily
�trip
s�mod
eled
Cube
�Lan
d
A2-25
-
Land
�Use
�mod
elin
g�w
ith�C
ube�
Land
Cube
�Lan
d�is�
a�fu
nctio
nal�l
ibra
ry�th
at�m
odel
s�lan
d�us
epr
ices
and
hous
ehol
d/f
irmlo
catio
nby
use,
�pric
es�a
nd�h
ouse
hold
�/�fir
m�lo
catio
n�by
�sim
ulat
ing�
real
�est
ate�
mar
kets
:•
Cube
�Land
�is�e
cono
mic
�land
�use
�mod
elin
g�so
ftw
are�
desig
ned�
espe
cial
ly�fo
r�lan
d�us
e�an
d�tr
ansp
ort�i
nter
actio
n�m
odel
s
•Ba
sed�
upon
�the�
MU
SSA�
II�fr
amew
ork
•De
velo
ped�
by�D
r.�Fr
anci
sco�
Mar
tinez
�and
�rese
arch
ers�a
t�the
�U
nive
rsity
�of�C
hile
•Ci
tilab
s�dist
ribut
es�C
ube�
Land
�as�a
�libr
ary�
coup
led�
with
�the�
pow
erfu
l�Cub
e�Ba
se�in
terf
ace�
for�m
odel
ing�
and�
GIS
Land
�Use
�mod
elin
g�w
ith�C
ube�
Land
•Cu
be�L
and�
can�
gene
rate
�ext
ensiv
e�in
form
atio
n�ab
out�t
he�m
arke
t�und
er�
diffe
rent
�scen
ario
s.
•It�
proc
esse
s�sup
ply,
�dem
and,
�and
�spac
e�in
�a�
disa
ggre
gate
d�m
anne
r,�ba
sed�
on�th
e�ch
arac
teris
tics�t
hat�d
escr
ibe:
•Ac
tivi
ties
to
be l
ocal
ized
•Re
al e
stat
e su
pply
•Lo
cati
on o
f sa
id a
ctiv
itie
s on
the
pro
pert
ies
•Va
lues
of
the
resu
ltin
g la
nd u
ses
•Yo
uca
nad
aptC
ube
Land
tost
udy
any
area
•Yo
u�ca
n�ad
apt�C
ube�
Land
�to�st
udy�
any�
area
�by
�def
inin
g�th
e�pr
oper
�zoni
ng�a
nd�c
ity�
plan
ning
�pol
icie
s,�su
ch�a
s�gov
ernm
ent�
ince
ntiv
es�o
r�reg
ulat
ion
A2-26
-
Land
�Use
�mod
elin
g�w
ith�C
ube�
Land
•Cu
be�L
and�
can�
fore
cast
�the�
loca
tion�
of�m
any�
diffe
rent
type
sofa
gent
sFo
rexa
mpl
eCu
beLa
nddi
ffere
nt�ty
pes�o
f�age
nts.
�For
�exa
mpl
e,�C
ube�
Land
�ca
n�fo
reca
st�
•th
e lo
cati
ons
of h
omes
, w
hich
hav
e di
ffer
ent
soci
oeco
nom
ic c
hara
cter
isti
cs,
•th
e lo
cati
ons
of f
irm
s, w
hich
hav
e di
ffer
ent
indu
stri
al
acti
viti
esac
tivi
ties
.
•W
ith�C
ube�
Land
,�you
�can
�incl
ude�
poss
ible
�cha
nges
�to
�the�
tran
spor
tatio
n�sy
stem
�and
�stud
y�ho
w�su
ch�
chan
ges�a
ffect
�pop
ulat
ion�
loca
tion�
and�
the�
com
posit
ion�
of�th
e�re
gion
Cube
:�M
akin
g�th
e�in
telli
gent
�cho
ice
A2-27
-
1.Co
mpl
ete�
Func
tiona
lity
Cube
�–th
e�in
telli
gent
�cho
ice
2.Co
mpl
etel
y�O
pen
3.Ad
vanc
ed�M
odel
ing�
Func
tions
4.Th
e�Po
wer
�of�G
IS
5E
tU
5.Ea
sy�t
o�U
se
6.Tr
ansp
aren
t
7.Sp
eed
8Re
liabl
e8.
Relia
ble
9.M
ade�
and�
Supp
orte
d�by
�Mod
eler
s
10.B
ased
�on�
Indu
stry
�Sta
ndar
ds
Com
plet
e�Fu
nctio
nalit
y
Cube
� pac
ks�te
chni
cally
�adv
ance
d�m
etho
ds�w
ithin
�an�
inte
grat
ed�e
nviro
nmen
t�for
�the�
Cube
�–th
e�in
telli
gent
�cho
ice
py
gfo
reca
stin
g�an
d�sim
ulat
ion�
of�p
erso
nal�t
rave
l,�fr
eigh
t�and
�env
ironm
enta
l�im
pact
s.�It
s�sc
riptin
g�la
ngua
ge�p
rovi
des�t
he�u
ltim
ate�
in�u
ser�f
lexi
bilit
y�fo
r�rep
rese
ntin
g�ev
en�th
e�m
ost�c
ompl
ex�m
etho
dolo
gies
.Co
mpl
etel
y�O
pen
Cube
�allo
ws�e
xter
nal�o
r�use
r�de
velo
ped�
appl
icat
ions
�to�b
e�se
amle
ssly
�inte
grat
ed�in
side�
hd
lh
hlld
dh
hl
kd
fl
llth
e�m
odel
.�The
y�ap
pear
�on�
the�
pulld
own�
men
u�an
d�ha
ve�th
e�sa
me�
look
�and
�feel
�as�a
ll�ot
her�C
ube�
Exte
nsio
ns,�m
akin
g�th
e�de
velo
pmen
t�of�c
usto
mize
d�Cu
be�m
odel
s�sim
ple�
and�
easy
.�
Adva
nced
�Mod
elin
g�Fu
nctio
ns
Cube
�Ext
ensio
ns�u
se�th
e�la
test
�in�m
etho
dolo
gies
�for�t
he�fo
reca
stin
g�of
�pas
seng
er�a
nd�
fi
htfl
Ft
fi
tilti
thd
ltid
hfr
eigh
t�flo
ws.
�Fea
ture
s�ran
ge�fr
om�a
n�in
nova
tive�
mul
tipat
h�an
d�m
ultim
ode�
appr
oach
�fo
r�mod
elin
g�pu
blic
�tran
sit�p
athb
uild
ing�
and�
assig
nmen
t�to�
dyna
mic
�traf
fic�a
ssig
nmen
t�to
�a�tr
ue�c
omm
odity
�bas
ed�fr
eigh
t�sys
tem
.
A2-28
-
The�
Pow
er�o
f�GIS
Cube
Base
seam
less
lylin
ksda
tabe
twee
nth
em
odel
and
ArcG
ISfr
omES
RI,t
hew
orld
lead
erin
Cube
�–th
e�in
telli
gent
�cho
ice
Cube
�Bas
e�se
amle
ssly
�link
s�dat
a�be
twee
n�th
e�m
odel
�and
�Arc
GIS�
from
�ESR
I,�th
e�w
orld
�lead
er�in
�G
IS�te
chno
logy
.
Easy
�to�
Use
From
�its�f
resh
,�new
�look
�to�it
s�int
uitiv
e�sc
enar
io�b
ased
�des
ign,
�Cub
e�m
akes
�it�e
asie
r�tha
n�ev
er�
to�d
evel
op,�p
rodu
ce�a
nd�c
ompa
re�sc
enar
ios.
�You
’ll�b
e�ab
le�to
�get
�mor
e�do
ne�in
�less
�tim
e�w
ith�
inte
grat
ed�sc
enar
io�a
nd�a
pplic
atio
n�to
ols,
�man
age�
your
�dat
a�in
�a�sn
ap,�a
nd�a
rran
ge�p
roje
cts�
gpp
,g
yp,
gp
jan
d�da
ta�in
�a�w
ay�th
at�m
akes
�sens
e�to
�you
.�Sim
ply�
put,�
Cube
�hel
ps�y
ou�w
ork�
smar
ter.
Tran
spar
ent
Say�
good
bye�
to�th
e�bl
ack�
box.
�Whi
le�C
ube�
mai
ntai
ns�th
e�in
dust
ry�st
anda
rd�st
ep�b
y�st
ep�
appr
oach
�to�tr
avel
�fore
cast
ing,
�the�
arch
itect
ure�
of�th
e�m
odel
�is�c
lear
ly�sh
own�
as�w
ell�a
s�the
�flo
w�o
f�dat
a.�D
oubl
e�cl
ick�
on�th
e�m
odel
�par
amet
ers�a
nd�e
asily
�und
erst
and�
how
�the�
fore
cast
s�ar
e�m
ade.
Spee
d
Cube
runs
appl
icat
ions
fast
er.I
nm
ostc
ases
,ent
irese
tsof
scen
ario
swill
beco
mpl
eted
mor
e
Cube
�–th
e�in
telli
gent
�cho
ice
Cube
�runs
�app
licat
ions
�fast
er.�I
n�m
ost�c
ases
,�ent
ire�se
ts�o
f�sce
nario
s�will
�be�
com
plet
ed�m
ore�
quic
kly.
Relia
ble
By�b
uild
ing�
on�p
rove
n�fo
reca
stin
g�sy
stem
s,�C
ube�
deliv
ers�a
�relia
ble�
foun
datio
n�yo
u�ca
n�co
unt�
on�to
�pro
duce
�com
preh
ensiv
e�an
d�ac
cura
te�fo
reca
sts.
Mad
ean
dSu
ppor
ted
byM
odel
ers
Mad
e�an
d�Su
ppor
ted�
by�M
odel
ers
Deve
lope
d�an
d�su
ppor
ted�
by�tr
ansp
orta
tion�
plan
ners
�and
�eng
inee
rs,�e
xper
ts�in
�the�
area
s�of�
pass
enge
r�dem
and�
fore
cast
ing,
�com
mod
ity�fo
reca
stin
g,�m
icro
simul
atio
n�an
d�en
viro
nmen
tal�
impa
cts.
�
Base
d�on
�Indu
stry
�Sta
ndar
ds
From
�dat
a�fo
rmat
s�to�
soft
war
e�ar
chite
ctur
e�to
�fore
cast
ing�
met
hodo
logi
es,�C
ube�
eith
er�se
ts�o
r�fo
llow
s�the
�stan
dard
s.�In
put�a
nd�o
utpu
t�dat
a�ca
n�be
�exc
hang
ed�in
�ESR
I,�Ex
cel,�
and�
dBas
e�fo
rmat
s.�
A2-29
-
Inte
grat
e G
IS a
nd T
rans
port
atio
n P
lann
ing
Wha
t’s G
IS –
intr
oduc
tion
to G
IS
•G
IS: G
eogr
aphi
c in
form
atio
n sy
stem
•A
geog
raph
ic in
form
atio
n sy
stem
(G
IS),
geog
raph
ical
info
rmat
ion
syst
em,
orge
ospa
tial i
nfor
mat
ion
syst
emis
any
sys
tem
th
at •Ca
ptur
es,
•st
ores
, •
anal
yzes
, •
man
ages
, •
pres
ents
data
that
are
linke
dto
loca
tion
•pr
esen
ts d
ata
that
are
link
ed t
o lo
cati
on
A2-30
-
Wha
t’s G
IS –
intr
oduc
tion
to G
IS
•G
IS is
the
mer
ging
of c
arto
grap
hy, s
tatis
tical
an
alys
is, a
nd d
atab
ase
tech
nolo
gy.
•G
IS s
yste
ms
are
used
inca
rtog
raph
y,re
mot
e se
nsin
g,la
nd s
urve
ying
,pu
blic
ut
ility
man
agem
ent,
natu
ral r
esou
rce
man
agem
ent,
phot
ogra
mm
etry
,ge
ogra
phy,
urba
n g
pg
yg
gp
ypl
anni
ng,
emer
genc
y m
anag
emen
t,na
viga
tion
, an
dlo
caliz
ed s
earc
h en
gine
s.
•In
a g
ener
al s
ense
, the
term
GIS
des
crib
es
any
info
rmat
ion
syst
emth
at in
tegr
ates
, sto
res,
ed
itsan
alyz
essh
ares
and
edits
,ana
lyze
s,sh
ares
,and
disp
lays
geog
raph
icin
form
atio
n fo
r in
form
ing
deci
sion
mak
ing.
Wha
t’s G
IS –
intr
oduc
tion
to G
IS
•T
he p
ossi
bly
earli
est u
se o
f th
e ge
ogra
phic
met
hod:
the
chol
era
outb
reak
in L
ondo
n (J
ohn
Sno
w –
1854
)
•M
oder
n G
IS te
chno
logi
es
use
digi
tal i
nfor
mat
ion
Dra
wn
by D
r Jo
hn S
now
abo
ut 1
854;
sho
wn
in S
tam
p, L
. D. 1
964,
A G
eogr
aphy
of L
ife a
nd D
eath
.
A2-31
-
Wha
t’s G
IS –
intr
oduc
tion
to G
IS
•A
GIS
hel
ps y
ou a
nsw
er q
uest
ions
and
sol
ve
prob
lem
s by
look
ing
at y
our
data
in a
way
that
is
quic
kly
unde
rsto
od a
nd e
asily
sha
red:
•M
ap W
here
Thi
ngs
Are
•M
ap Q
uant
itie
sM
Dit
i•
Map
Den
siti
es•
Find
Wha
t's In
side
•Fi
nd W
hat's
Nea
rby
•M
ap C
hang
e
Inte
grat
e G
IS a
nd T
rans
port
atio
n P
lann
ing
•T
rans
port
atio
n pr
ofes
sion
als
over
the
wor
ld h
ave
disc
over
ed a
nd e
mbr
aced
GIS
as
an im
port
ant
tool
in:
•M
anag
ing
•Pl
anni
ngE
lti
•Ev
alua
ting
•M
aint
aini
ng t
rans
port
atio
n sy
stem
s
•G
IS fo
r T
rans
port
atio
n, n
amed
GIS
-T b
y th
e A
mer
ican
Ass
ocia
tion
of S
tate
Hig
hway
and
T
rans
port
atio
nO
ffici
als,
has
been
used
for
Tra
nspo
rtat
ion
Offi
cial
s,ha
sbe
enus
edfo
rdi
vers
e pu
rpos
es, s
uch
as:
•M
odel
ing
trav
el d
eman
d•
Impr
ovin
g tr
ansi
t se
rvic
e•
Eval
uati
ng n
ew r
oad
sche
me
A2-32
-
Inte
grat
e G
IS a
nd T
rans
port
atio
n P
lann
ing
•In
ord
er to
pre
dict
cha
nges
to
trav
el d
eman
d, w
e bu
ild
mod
els
•M
ain
Inpu
ts:
•D
ata/
chan
ges
in
gde
mog
raph
ics
•Ec
onom
ic d
evel
opm
ent
•So
cial
dev
elop
men
t•
Polic
ies
Inte
grat
e G
IS a
nd T
rans
port
atio
n P
lann
ing
•C
hang
es to
trav
el d
eman
d:•
Alte
rnat
ive
deve
lopm
ents
•la
nd u
se (G
IS)
•tri
p pr
oduc
tion
(GIS
)•
trip
dist
ribut
ion
(GIS
)
•Al
tern
ativ
e po
licie
s•
Alte
rnat
ive
solu
tion
s fo
r:•
roa
ds (
GIS
)•
publ
ic tr
ans
port
netw
orks
(GIS
)
A2-33
-
Inte
grat
e G
IS a
nd T
rans
port
atio
n P
lann
ing
•P
lann
ing:
•
need
to
acco
mm
odat
e de
man
d on
pub
lic
infr
astr
uctu
re /
res
pons
ibili
ty
to p
rese
rve
qual
ity
of li
fe a
nd
envi
ronm
enta
l sus
tain
abili
ty•
GIS
pro
vide
s a
fram
ewor
k to
in
form
mod
els
•Sh
ed li
ght
on t
he v
ario
us
tran
spor
t al
tern
ativ
es
Inte
grat
e G
IS a
nd T
rans
port
atio
n P
lann
ing
•W
hat –
If ?
anal
yses
:•
Plan
ners
dev
elop
alt
erna
tive
so
luti
ons
•M
odel
s us
ed f
or t
esti
ng t
he
alte
rnat
ive
solu
tion
s•
Wha
t if
we
choo
se s
olut
ion
A?•
How
muc
h be
tter
is A
co
mpa
red
to B
, C
and
D?
A2-34
-
Inte
grat
e G
IS a
nd T
rans
port
atio
n P
lann
ing
•W
hat W
e D
o W
ith G
IS•
Wha
t We
Do
With
Cub
e•
Auth
orin
g &
edi
ting
ge
ogra
phic
dat
a•
Man
agin
g sp
atia
l dat
abas
es•
Anal
yzin
g &
mod
elin
g sp
atia
l re
lati
onsh
i ps
•D
evel
opin
g m
odel
s of
tr
ansp
orta
tion
sys
tem
s•
Dev
elop
ing
inpu
t dat
a•
Des
igni
ng p
roce
sses
•W
ritin
g sc
ripts
p•
Basi
c m
appi
ng &
car
togr
aphy
•Ap
plyi
ng e
xist
ing
mod
els
to
anal
yze
scen
ario
s•
Editi
ng in
put d
ata
•Ru
nnin
g a
ltern
ativ
es•
Vie
win
g re
sults
Inte
grat
e G
IS a
nd T
rans
port
atio
n P
lann
ing
Pla
nnin
g
Fin
ance
Mod
elin
gG
ISR
esea
rch
A2-35
-
Inte
grat
e G
IS a
nd T
rans
port
atio
n P
lann
ing
oAr
cGIS
Des
ktop
�Ar
cVie
w�
ArcE
dito
r
oM
icro
soft
Off
ice
�Ac
cess
�Ex
cel
VBA
oCu
be B
ase
�Cu
be G
raph
ics
�Ap
plic
atio
nM
anag
erA
rcM
apA
rcCa
talo
gA
rcTo
olbo
�Ar
cEdi
tor
�Ar
cInf
o�
ArcP
ublis
her/
ArcR
eade
ro
Serv
er G
IS (
repl
aces
Arc
SDE)
�Ar
cGIS
Ser
ver
�Ar
cGIS
Imag
e Se
rver
�Ar
cIM
S (w
eb d
eliv
ery)
oG
eoda
taba
se t
ypes
�En
ter p
rise
�VB
Ao
SQL
Serv
ero
Visu
al S
tudi
o
�Ap
plic
atio
n M
anag
er�
Scen
ario
Man
ager
oCu
be V
oyag
er�
Cube
Clu
ster
�Cu
be A
venu
e�
…Cu
be L
and
oCu
be A
naly
sto
Cube
Car
goo
Cube
Dyn
asim
Arc
Map
, Arc
Cata
log,
Arc
Tool
box
Mic
roso
ft S
ft&
GD
B
SHP
MD
BSD
E
p�
Wor
kgro
up�
Pers
onal
�Fi
le
oD
evel
oper
Too
ls�
Scri
ptin
g (P
ytho
n et
c…)
�Au
tom
atio
n (V
BA e
tc…
)�
Exte
nsio
ns�
Appl
icat
ions
Sof
twar
e &
Sta
ndar
ds Citi
labs
ES
RI
SHP
ArcG
IS E
ngin
eCiti
labs
Cub
eE
SR
IA
rcG
IS
Inte
grat
e G
IS a
nd T
rans
port
atio
n P
lann
ing
Pla
nnin
gM
odel
ing
GD
BO
pera
tions
Res
earc
h
GD
B
A2-36
-
Inte
grat
e G
IS a
nd T
rans
port
atio
n P
lann
ing
•P
lann
ing
Age
ncie
s de
velo
p lo
ng-r
ange
pla
ns
unde
r fis
cal c
onst
rain
t
•M
aint
ain
a da
taba
se o
f pro
ject
s w
ith d
escr
iptio
n,
impl
emen
tatio
n ye
ar, f
undi
ng s
ourc
e, a
nd to
tal
cost
•W
ant t
o m
ap s
yste
m a
ltern
ativ
es b
y ye
ar a
nd
gene
rate
rep
orts
rel
atin
g pe
rfor
man
ce to
cos
t
•A
dd “
Pro
ject
net
wor
k” w
ith n
ode,
link
cha
nges
an
d co
mm
on P
roje
ctID
j_
•A
lso
add
Cor
ridor
_ID
and
rel
ate
to fe
atur
e cl
ass
to ta
bula
te/m
ap b
y sy
stem
seg
men
t
Inte
grat
e G
IS a
nd T
rans
port
atio
n P
lann
ing
A2-37
-
Inte
grat
e G
IS a
nd T
rans
port
atio
n P
lann
ing
•C
onsu
ltant
s ar
e ch
arge
d w
ith fo
reca
stin
g re
venu
es fo
r fin
anci
al p
lann
ing
& a
naly
sis
•S
tudi
es c
an b
e da
ta-in
tens
ive
and
com
plex
•O
rigi
n-de
stin
atio
n su
rvey
s•
Traf
fic
coun
ts b
y ti
me
of d
ay,
day
of w
eek,
mon
th o
f ye
ar•
Spee
d an
d de
lay
stud
ies
(GPS
dat
a co
llect
ion)
•In
depe
nden
t so
cio-
econ
omic
dat
a co
mpi
lati
on &
rev
iew
•M
any
alte
rnat
ive
toll
conf
igur
atio
ns &
rat
es
•A
dd a
Sta
tion_
ID fi
eld
to r
elat
e da
ta c
olle
ctio
n si
tes
to n
etw
ork
links
/ sy
stem
seg
men
ts
•S
tore
toll
syst
em (
plaz
as/g
ates
/sec
tions
) in
geo
data
base
to
stre
amlin
e re
venu
e ta
bula
tions
Inte
grat
e G
IS a
nd T
rans
port
atio
n P
lann
ing
A2-38
-
Inte
grat
e G
IS a
nd T
rans
port
atio
n P
lann
ing
•A
dver
se e
ffect
s of
tran
spor
tatio
n pr
ojec
ts o
n ot
her
syst
ems
(air,
wat
er, e
colo
gica
l, so
cial
) m
ust b
e id
entif
ied
and
addr
esse
d
•M
any
disp
arat
e is
sues
and
them
es m
ust b
e re
late
d to
tr
ansp
orta
tion
proj
ect o
f int
eres
t
•U
se g
eoda
taba
se to
ena
ble
expl
orat
ory
anal
ysis
of
inte
ract
ions
bet
wee
n di
ffere
nt s
yste
ms
•Ae
rial
and
sat
ellit
e im
ager
y (r
aste
r da
ta)
•N
atur
al r
esou
rce
inve
ntor
ies
(wet
land
s, h
abit
ats,
pro
tect
ed)
•H
isto
rica
l lan
dmar
k pl
aces
•So
cial
ly a
nd e
cono
mic
ally
dis
adva
ntag
ed a
reas
•H
ealt
h an
d sa
fety
haz
ards
•Ai
r qu
alit
y m
odel
out
puts
Inte
grat
e G
IS a
nd T
rans
port
atio
n P
lann
ing
•G
eopr
oces
sing
: ho
w y
ouco
mpu
te w
ith d
ata,
con
nect
ing
data
to
tool
s to
der
ive
new
info
rmat
ion
•G
IS b
ased
sys
tem
s:•
They
sto
re a
nd m
anag
eda
ta.
•Th
ey le
t yo
uvi
sual
ize
data
in a
var
iety
of
way
s.•
They
mak
e it
eas
y to
com
pute
wit
h da
ta
A2-39
-
Inte
grat
e G
IS a
nd T
rans
port
atio
n P
lann
ing
•F
or a
ll us
ers
–bo
th n
ewbi
esan
d “o
ld p
ros”
•W
rang
ling
herd
s of
dat
a fr
om o
ne f
orm
at t
o an
othe
r•
Usi
ng a
seq
uenc
e of
ope
rati
ons
to m
odel
and
ana
lyze
com
plex
spa
tial
re
lati
onsh
ips
•A
typi
cal g
eopr
oces
sing
tool
per
form
s an
ope
ratio
n on
an
GIS
da
tase
t(su
chas
afe
atur
ecl
ass
rast
eror
tabl
e)an
dda
tase
t(su
chas
afe
atur
ecl
ass,
rast
er,o
rta
ble)
and
prod
uces
a n
ew d
atas
et a
s th
e re
sult
of th
e to
ol.
•E
ach
geop
roce
ssin
g to
ol p
erfo
rms
a sm
all y
et e
ssen
tial
oper
atio
n on
geo
grap
hic
data
. Arc
GIS
incl
udes
hun
dred
s of
su
ch g
eopr
oces
sing
tool
s.
Inte
grat
e G
IS a
nd T
rans
port
atio
n P
lann
ing
•B
uffe
r
•C
lip -
Ext
ract
s in
put f
eatu
res
that
ove
rlay
the
clip
feat
ures
•In
ters
ect -
Com
pute
s a
geom
etric
inte
rsec
tion
of th
e In
put F
eatu
res.
Fea
ture
s or
por
tions
of f
eatu
res
whi
ch o
verla
p in
all
laye
rs a
nd/o
r fe
atur
e cl
asse
s w
ill
be w
ritte
n to
the
Out
put F
eatu
re C
lass
.
•U
nion
-C
ompu
tes
a ge
omet
ric in
ters
ectio
n of
the
Inpu
t Fea
ture
s. A
ll fe
atur
es
will
be
writ
ten
to th
e O
utpu
t Fea
ture
Cla
ss w
ith th
e at
trib
utes
from
the
Inpu
t F
eatu
res
whi
ch it
ove
rlaps
.
A2-40
-
Inte
grat
e G
IS a
nd T
rans
port
atio
n P
lann
ing
•W
e ca
n us
e ge
opro
cess
ing
in tr
ansp
iratio
n pl
anni
ng in
an
alys
is s
uch
as:
•Bu
ffer
—U
se t
he b
uffe
r to
ol t
o ca
lcul
ate
prox
imit
y to
sto
p no
des/
park
ing
area
s/tr
ansi
t lin
es…
•M
ulti
Rin
g Bu
ffer
—U
se t
he m
ulti
-rin
g bu
ffer
too
l to
calc
ulat
e pr
oxim
ity
rang
es.
ra
top related