ILUTE Integrated Land Use – Transportation Modelling
41
ILUTE Integrated Land Use – Transportation Modelling Eric J. Miller, Ph.D. Professor & Director Cities Centre, University of Toronto Presented at: Travel Demand Modelling in the GTHA: Current Capabilities & Future Prospects A Technical Workshop University of Toronto, June 24, 2009
Transcript of ILUTE Integrated Land Use – Transportation Modelling
ILU
TE
Inte
gra
ted
La
nd
Use
–
Tra
nsp
ort
ati
on
Mo
del
lin
g
Eri
c J.
Mil
ler,
Ph
.D.
Pro
fess
or
& D
irec
tor
Cit
ies
Cen
tre,
Un
iver
sity
of
To
ron
to
Pre
sen
ted
at:
Tra
vel
Dem
and
Mo
del
lin
gin
th
e G
TH
A:
Cu
rren
t C
apab
ilit
ies
& F
utu
re P
rosp
ects
A T
ech
nic
al W
ork
sho
p
Un
iver
sity
of
To
ron
to, Ju
ne
24
, 2
009
ILU
TE
Tra
nsp
ort
atio
n a
nd u
rban
form
are
fundam
enta
lly l
inked
. H
ow
we
buil
d o
ur
city
dir
ectl
y
det
erm
ines
tra
vel
nee
ds,
via
bil
ity
of
alte
rnat
ive
trav
el m
odes
, et
c.
Tra
nsp
ort
atio
n, in
turn
, in
fluen
ces
land d
evel
opm
ent
and l
oca
tion
choic
es o
f peo
ple
& f
irm
s.
ILU
TE
Lan
d U
se
Models
Fo
rmal
mo
del
s w
hic
h t
ry t
o c
aptu
re t
he
tran
spo
rtat
ion
-la
nd
use
in
tera
ctio
n a
re u
sual
ly
refe
rred
to
as
lan
d u
se m
od
els,
in
teg
rate
d l
an
d
use
-tr
an
spo
rta
tio
n m
od
els
, o
r in
teg
rate
d
urb
an
mo
del
s.
Su
ch m
od
els
hav
e ex
iste
d s
ince
th
e ea
rly
19
60
’s.
Th
ey h
ave
had
mix
ed s
ucc
ess,
wit
h t
he
resu
lt
that
rel
ativ
ely f
ew u
rban
are
as c
urr
entl
y u
se
form
al m
od
els.
Inte
gra
ted
urb
an m
od
els,
ho
wev
er, ar
e re
ceiv
ing
incr
easi
ng
att
enti
on
an
d a
re b
ein
g a
ctiv
ely u
sed
in m
any
U.S
. &
Eu
rop
ean
cit
ies.
ILU
TE
What is
an inte
gra
ted m
odel?
An
in
teg
rate
d u
rban
mo
del
is
inte
nd
ed t
o r
epre
sen
t th
e sp
atia
l ev
olu
tio
n o
f a
giv
en s
tud
y r
egio
n s
yst
em
stat
e o
ver
tim
e as
a f
un
ctio
n o
f v
ario
us
soci
o-e
con
om
ic, d
emo
gra
ph
ic
and
po
liti
cal
pro
cess
es. K
ey w
ord
s:
spat
ial;
tim
e, e
vo
luti
on
; so
cio
-eco
no
mic
, d
emo
gra
ph
ic,
po
liti
cal.
Lan
d
Dev
elopm
ent
Lo
cati
on
Choic
e
Act
ivit
y
Sch
edule
s
Act
ivit
y
Pat
tern
s
Tra
nsp
ort
atio
n
Net
work
Auto
mobil
e
Ow
ner
ship
Tra
vel
Dem
and
Net
work
Flo
ws
UR
BA
N A
CT
IVIT
Y S
YS
TE
MT
RA
NS
PO
RT
AT
ION
SY
ST
EM
Dem
ogra
phic
s
Reg
ional
Eco
nom
ics
Gover
nm
ent
Poli
cies
INP
UT
S
ILU
TE
What is
an inte
gra
ted m
odel?
An
urb
an r
egio
n’s
syst
em s
tate
is
hig
hly
mu
lti-
dim
ensi
onal
. I
t u
sual
ly i
ncl
ud
es:
•T
he
spat
ial
dis
trib
uti
on
of
the
resi
den
t p
op
ula
tio
n
•T
he
spat
ial
dis
trib
uti
on
of
the
reg
ion
’s e
mp
loy
men
t &
oth
er o
ut-
of-
ho
me
acti
vit
y l
oca
tio
ns
•P
erso
n t
rav
el w
ith
in t
he
reg
ion
du
ring
a r
epre
sen
tati
ve
tim
e p
erio
d (
e.g
., a
“ty
pic
al”
wee
kd
ay)
•F
low
s o
f g
oo
ds/
serv
ices
wit
hin
th
e re
gio
n d
uri
ng
a
rep
rese
nta
tiv
e ti
me
per
iod
ILU
TE
Why b
uild
in
tegra
ted
models
?In
teg
rate
d m
od
els
pro
vid
e th
e
op
po
rtu
nit
y t
o c
on
sist
entl
y a
nd
com
pre
hen
siv
ely
ex
plo
re t
he
inte
nd
ed
and
un
inte
nd
ed, in
terc
on
nec
ted
con
seq
uen
ces
of
tran
spo
rtat
ion
an
d l
and
use
po
lice
s in
co
mp
lex
urb
an r
egio
ns.
Wit
ho
ut
an i
nte
gra
ted
an
aly
sis
of
bo
th
lan
d u
se a
nd
tra
nsp
ort
atio
n,
may
wel
l
“mis
s”k
ey s
yst
em r
esp
on
ses,
an
d/o
r
ov
er/u
nd
er-e
stim
ate
the
syst
em r
esp
on
ses
wh
ich
are
bei
ng
ex
pli
citl
y m
od
elle
d.
Man
y “
tran
spo
rtat
ion
”is
sues
(es
pec
iall
y
wrt
sust
ain
abil
ity
) h
ave
thei
r o
rig
ins
(an
d
per
hap
s th
eir
solu
tio
ns
as w
ell)
in
lan
d
use
des
ign
.
ILU
TE
Exam
ple
Ap
plic
ation:
Ga
rdin
er
Expre
ssw
ay
Wh
at w
ould
be
the
imp
act
of
tear
ing d
ow
n t
he
Gar
din
er E
xpre
ssw
ay?
What
if
it w
asn
’t
rep
lace
d?
What
tra
nsi
t op
tion
s m
igh
t ex
ist?
Wh
at w
ould
be
the
imp
act
on
popu
lati
on
&
emp
loym
ent
dis
trib
uti
on
s? …
2005
evolve
2010
2030_B
2030_C
branch
and
evolve
Base
Year
Event
Year
Target Year
(Policy Option B)
Target Year
(Policy Option C)
2030_A
Target Year
(Policy Option A)
ILU
TE
Exam
ple
Applic
ation: P
laces to
Gro
w
What
wil
l be
the
impac
t of
a
gre
enbel
t on:
•housi
ng d
ensi
ty &
pri
ces?
•em
plo
ym
ent
conce
ntr
atio
n?
•tr
ansi
t via
bil
ity?
•co
nges
tion?
•em
issi
ons?
•…
ILU
TE
Non-M
odelli
ng A
ppro
aches
In t
he
abse
nce
of
form
al l
and u
se m
odel
s (t
he
usu
al c
ase)
, sc
enar
io-
bas
ed e
xtr
apola
tions
of
popula
tion a
nd e
mplo
ym
ent
by z
one
are
use
d
to p
rovid
e in
puts
to t
he
4-s
tage
trav
el d
eman
d m
odel
ling
syst
em.
Pro
ble
ms
wit
h t
his
appro
ach i
ncl
ude:
•S
cenar
ios
are
oft
en u
nre
alis
tic,
and/o
r in
tern
ally
inco
nsi
sten
t
•S
cenar
ios
are
oft
en i
nco
nsi
sten
t w
ith t
he
tran
sport
atio
n s
yst
em
•L
ack o
f “f
eedbac
k”
bet
wee
n l
and u
se a
nd t
ransp
ort
atio
n s
ecto
rs
•L
ack o
f det
ail
in a
ttri
bute
s of
popula
tion &
em
plo
ym
ent
•L
ack o
f poli
cy s
ensi
tivit
y
•S
epar
atio
n o
f la
nd u
se p
lannin
g f
rom
tra
nsp
ort
atio
n p
lannin
g
ILU
TE
Opera
tional M
odels
•S
ever
al o
per
atio
nal
in
tegra
ted
mo
del
s ar
e in
use
w
orl
d-w
ide.
T
hes
e in
clud
e:–
IRP
UD
/IL
UM
AS
S (
Mic
hae
l W
egen
er, D
ort
mu
nd
)
–M
EP
LA
N (
Mar
cial
Ech
iniq
ue,
Cam
bri
dge)
–T
RA
NU
S (
To
mas
de
la B
arra
, V
enes
ual
ia)
–P
EC
AS
(D
ou
g H
un
t, U
. o
f C
alg
ary
)
–M
US
SA
(F
ran
cisc
o M
arti
nez
, U
. o
f C
hil
e)
–U
rban
Sim
(Pau
l W
add
ell,
UC
Ber
kel
ey)
ILU
TE
ME
PL
AN
/
TR
AN
US
ILU
TE
Act
ivit
y
To
tals
Act
ivit
y
Lo
cati
on
s
Act
ivit
y
Inte
ract
ion
s
Tra
nsp
ort
Dem
and
s
Tra
nsp
ort
Su
pp
ly
flow
s
pri
ce
sig
nal
s
Lan
d a
nd
Flo
ors
pac
e
Su
pp
ly
Lab
or
and
Cap
ital
Su
pp
ly
En
vir
on
men
t
(ex
tern
alit
ies)
occ
up
anci
es
con
sum
pti
on
s
So
cial
Imp
acts
PE
CA
S
ILU
TE
MU
SS
A &
5-L
UT
Reg
ion
al I
/O
Mo
del
MU
SS
A
Po
pu
lati
on
By z
on
e
4-S
tep
Tra
vel
Mo
del
Acc
essi
bil
itie
s
By z
on
e
Rel
atio
nal
Dat
abas
e
Man
agem
ent
Syst
em:
•h
ou
seh
old
s
•fi
rms
•d
wel
lin
gs
•zo
nes
/lan
d
•ac
cess
ibil
itie
s
•...
ILU
TE
UR
BA
NS
IM
Model
Str
uctu
re
•D
iseq
uil
ibri
um
model
•H
ighly
dis
aggre
gat
ed
spat
iall
y
ILU
TE
Polic
y
Capabili
ties
of C
urr
ent
Inte
gra
ted
Models
ILU
TE
The ILU
TE
Modelin
g P
roje
ct
The
Univ
ersi
ty o
f
Toro
nto
is
work
ing o
n
mic
rosi
mula
tion
model
ling w
ithin
the
Inte
gra
ted L
and U
se,
Tra
nsp
ort
atio
n,
Envir
onm
ent
(IL
UT
E)
Model
ling P
roje
ct.
Flo
ws,
Tim
es,
etc.
Ex
tern
al I
mp
acts
Lan
d U
se
Lo
cati
on C
hoic
e
Auto
Ow
ner
ship
Act
ivit
y/T
rav
el &
Goods
Movem
ent
Dem
ogra
phic
s
Reg
ional
Eco
nom
ics
Gover
nm
ent
Poli
cies
Tra
nsp
ort
Sys
tem
Dyn
amic
Tra
ffic
Ass
ignm
ent
Model
ILU
TE
ILU
TE
Desig
n P
rincip
les
•F
ull
y m
icro
sim
ula
tio
n-b
ased
•F
ull
y o
bje
ct-o
rien
ted
/ag
ent-
bas
ed i
n d
esig
n &
im
ple
men
tati
on
•F
ull
po
pu
lati
on
syn
thes
is
•H
ouse
ho
ld &
fir
m b
ased
•C
om
pre
hen
siv
e:
•la
nd u
se
•ac
tiv
ity/t
rav
el
•urb
an e
conom
ics
•au
to o
wn
ersh
ip
•d
emog
raph
ics
•em
issi
on
s/en
erg
y u
se
•A
fra
mew
ork
for
mo
del
dev
elop
men
t in
add
itio
n t
o a
model
per
se.
ILU
TE
Mic
rosim
ula
tion
“Mic
ro”
imp
lies
a h
igh
ly d
isag
gre
gat
ed m
odel
:
•sp
atia
lly
•so
cio
-eco
no
mic
ally
(rep
rese
nta
tio
n o
f ac
tors
)
•re
pre
sen
tati
on
of
pro
cess
es
“Sim
ula
tion
”im
pli
es:
•nu
mer
ical
•d
yn
amic
(ti
me
dim
ensi
on
ex
pli
cit)
•st
och
asti
c
•en
d s
tate
is
“ev
olv
ed”
rath
er t
han
“so
lved
for”
t =
t0
Syn
thesis
of
Base
S
am
ple
For
t =
t0
Endogenous
Changes
toS
am
ple
during this
∆t
Dis
aggre
gate
Behavi
ora
l Mode
l
Behavi
or/
Sys
tem
Sta
teat (t
+ ∆
t)
Exogenous
Inputs
this
∆t
t =
t +
∆t
ILU
TE
Why M
icro
sim
ula
te? To o
bta
in a
more
det
aile
d
under
stan
din
g o
f sy
stem
resp
onse
s to
poli
cies
.
-0.0
5
-0.0
4
-0.0
3
-0.0
2
-0.0
1
0
0.0
1
Fraction Change in Pauto
-0.5
0
0.5
1
1.5
2
Fra
ction C
hange in A
uto
Cost
Pa=
0.1
0P
a=
0.5
0P
a=
0.9
0
Au
to C
ost
Ela
sti
cit
yW
ork
er
Ca
t. 5
(D
LIC
, 2
+ c
ars
)
To o
bta
in a
more
det
aile
d
under
stan
din
g o
f th
e dis
trib
uti
on
of
ben
efit
s, c
ost
s, i
mpac
ts w
ithin
the
syst
emsp
atia
lly a
nd so
cio-
econom
ical
ly-0
.4
-0.3
-0.2
-0.1
0
Trip Elasticity
Work
/School
Oth
er
Trips
Trip P
urp
ose
Route
Tra
nsit
Tota
l T
rips
ILU
TE
Why M
icro
sim
ula
te?
VK
T
Tim
eB
ase
Yea
r
Fo
reca
st
Ho
rizo
n
His
tori
cal
Tre
nd
Tre
nd
Pro
ject
ion
Dyn
amic
, p
ath
-dep
end
ent
resp
on
se t
o p
oli
cy
init
iati
ves
Sta
tic
equ
ilib
riu
m
pro
ject
ion
To e
xplo
re a
lter
nat
ive
futu
res
and “
emer
gen
t beh
avio
ur”
.
ILU
TE
Obje
ct-
Ori
ente
d,
Ag
ent-
Ba
sed M
odels
Per
son 1
Agen
da
Sch
edule
Per
son 1
Agen
da
Sch
edule
House
hold
Dw
elli
ng U
nit
Zone
Work
erJo
bF
irm
Buil
din
g
Agen
da
Veh
icle
Agen
da
Sch
edule
•T
he
model
is
bei
ng d
evel
oped
wit
hin
the
OO
P p
arad
igm
(C
++
)
•O
OP
idea
l fo
r m
icro
sim
ula
tion a
ppli
cati
ons
•M
odel
des
ign f
ocu
ses
on d
efin
itio
n o
f th
e obje
cts
whic
h e
xis
t
& i
nte
ract
wit
hin
the
syst
em
•A
n i
nte
llig
ent
obje
ct i
s an
agent.
Agen
ts:
•per
ceiv
e th
e w
orl
d
around t
hem
•m
ake
auto
nom
ous
dec
isio
ns
•ac
t in
to t
he
worl
d
ILU
TE
Per
son
Lis
t
Per
son
A
ge
Sex
Ed
uc.
Occ
.
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p. …
.
ID
C
od
e
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de
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tus
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T
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54
32
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5
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96
23
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1
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.
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use
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ld L
ist
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o. o
f
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f …
.
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Per
son
s C
ars
….
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….
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Jo
b L
ist
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cc.
Sal
ary
…
.
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Co
de
….
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$5
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….
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….
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Dw
elli
ng
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it L
ist
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on
e P
rice
…
.
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….
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Sch
oo
l L
ist
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Typ
e
Z
on
e …
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ID ….
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Pri
mar
y 2
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.
….
Part
ial
Vie
w o
f th
e IL
UT
E S
yste
m S
tate
, T
ime T
ILU
TE
Bas
e Y
ear
Cen
sus
Dat
a,
Oth
er A
gg
reg
ate
Dat
a
Syn
thes
ize
Bas
e Y
ear
Po
pu
lati
on
,
Em
plo
ym
ent,
Dw
elli
ng
s, e
tc.
ILU
TE
Ev
olu
tio
na
ry E
ng
ine
Fo
r T
= T
0+
1,T
0+
NT
do
:
•D
emo
gra
ph
ic U
pd
ate
•D
emo
gra
ph
ics
•F
amil
y/h
ou
seh
old
co
mp
osi
tio
n u
pd
ate
•S
cho
ol
par
tici
pat
ion
up
dat
e
•B
uil
din
g S
tock
Up
dat
e
•R
esid
enti
al H
ou
sin
g
•C
om
mer
cial
Flo
ors
pac
e
•F
irm
/Jo
b L
oca
tio
n U
pd
ate
•W
ork
Par
tici
pat
ion
& L
oca
tio
n U
pd
ate
•R
esid
enti
al L
oca
tio
n U
pd
ate
•A
uto
Ow
ner
ship
Up
dat
e
•C
om
mer
cial
Veh
icle
Mo
vem
ent
Up
dat
e
•A
ctiv
ity/T
rav
el U
pd
ate
(TA
SH
A)
Ex
og
eno
us
Inp
uts
, T
ime
T
•In
-mig
rati
on
•P
oli
cy c
han
ges
•…
Tra
nsp
ort
atio
n N
etw
ork
Mo
del
(Co
mp
ute
tra
vel
tim
es/c
ost
s b
y m
od
e)
(EM
ME
/2 o
r M
AT
SIM
)
T0
= B
ase
tim
e p
oin
t
T =
Cu
rren
t ti
me
po
int
bei
ng
sim
ula
ted
NT
= N
um
ber
of
sim
ula
tio
n t
ime
step
s
Th
e IL
UT
E
Evo
luti
on
ary
En
gin
e
ILU
TE
Popula
tion S
ynth
esis
•A
new
, IP
F-b
ased
po
pu
lati
on s
yn
thes
is
pro
cedu
re h
as b
een
dev
elop
ed f
or
the
Gre
ater
Toro
nto
Are
a
•H
and
les
a la
rge
nu
mb
er o
f at
trib
ute
s p
er a
gen
t
by u
sing
a l
ist-
bas
ed d
ata
stru
cture
•C
on
sist
entl
y g
ener
ates
per
son
s, f
amil
ies,
hou
seh
old
s an
d d
wel
ling
un
its
ILU
TE
Rela
tionship
s
•L
and
use
/tra
nsp
ort
atio
n m
od
els
hav
e se
ver
al t
yp
es o
f ag
ents
�A
gen
ts:
Per
sons,
fam
ilie
s,
house
hold
s, b
usi
nes
s
esta
bli
shm
ents
�O
bje
cts:
Veh
icle
s, d
wel
lings
ILU
TE
Attribute
s &
dim
ensio
ns in
the s
ynth
esiz
ed
Toro
nto
popula
tion
ILU
TE
Imple
menta
tion
•P
rog
ram
med
in
R
�A
sta
tist
ical
pro
gra
mm
ing p
latf
orm
�D
ynam
ic l
anguag
e, f
ast
pro
toty
pin
g
�G
ood s
uppo
rt f
or
cate
gori
cal
dat
a, c
onti
ngen
cy t
able
s
•F
ull
198
6 p
op
ula
tio
n f
or
the
To
ron
to C
MA
gen
erat
ed:
1.1
m
illi
on
hou
seh
old
s, 1
.0 m
illi
on f
amil
ies,
3.3
mil
lio
n
per
sons
•R
un
tim
e: 2
ho
urs
, 7
min
ute
s on
old
er 1
.5G
Hz
com
pu
ter
•R
epea
ted
fo
r H
amil
ton
an
d O
shaw
a C
MA
s
•F
or
mo
re d
etai
ls, se
e: P
ritc
hard
& M
ille
r, “
Ad
vance
s in
Ag
ent
Po
pu
lati
on S
ynth
esis
an
d A
ppli
cati
on
in
an
In
teg
rate
d L
and U
se a
nd
Tra
nsp
ort
ati
on M
od
el”
, T
RB
Pa
per
09-1
686,
Ses
sion
709
.
ILU
TE
Popula
tion U
pdating
•A
dem
ogra
ph
ic u
pd
atin
g p
roce
du
re h
as b
een
dev
elo
ped
for
the
GT
A t
hat
up
dat
es p
erso
n,
fam
ily &
ho
use
hold
att
rib
ute
s ea
ch y
ear
in a
sim
ula
tion
run
.
•O
bse
rved
rat
es b
y y
ear,
cat
egori
zed
by
ag
ent
attr
ibu
tes
are
use
d.
ILU
TE
ILU
TE
De
mo
gra
phic
Evolu
tion,
198
6-2
00
6
ILU
TE
Mark
ets
: A
gent
Inte
ractions
Sche
du
ling
/Pla
nnin
g:
Age
nt
Decis
ion-M
akin
g
Tem
pora
l / S
patial
(Physic
al W
orld)
Re
pre
se
nta
tion
ILU
TE
The ILU
TE
Pyra
mid
ILU
TE
Bec
om
e A
ctiv
e
in t
he
Mar
ket
Const
rain
ed
Sea
rch
Bid
din
g &
Sea
rch T
erm
inat
ion
Act
ive
in H
ousi
ng
Mar
ket (U
ninf
orm
ed)
Inac
tive
in
Mar
ket
deci
de to
beco
me
activ
e
deci
de to
rem
ain
inac
tive
Info
rmed
get in
form
atio
n
Ass
essi
ng
deci
de to
cont
inue
- g
et s
earc
h re
sults
deci
de to
back
out
ask
for br
oade
r se
arch
Suc
cessf
ully
Tr
ansa
cted
deci
de to
purc
hase
deci
de to
back
out
proc
ess
impl
icat
ions
Not
Act
ive
in t
he
Mar
ket
Tw
o V
iew
s o
f th
e M
ark
et
Part
icip
ati
on
P
rocess
ILU
TE
Vac
anci
es
Pri
ces
Dev
elo
per
s’dec
isio
ns
to b
uil
d
new
ho
usi
ng
•T
yp
e (s
tru
ctu
re/t
enure
)
•L
oca
tion
•N
um
ber
of
un
its
•S
ize/
qu
alit
y/p
rice
ran
ge
Occ
up
ants
’d
ecis
ions
to
mo
ve
Act
ive
hou
seho
lds
sear
ch
amo
ng
sel
ecte
d v
acan
cies
Dec
isio
n t
o b
uy
/ren
tD
ecis
ion t
o s
ell/
leas
e
Hou
seh
old
sD
evel
op
ers/
Lan
dlo
rds
Poli
cies
Zonin
g …
Inte
rest
Rat
es …
Infr
astr
uct
ure
Inves
tmen
t …
Sim
ula
tin
g H
ou
sin
g M
ark
et
De
man
d,
Su
pp
ly &
Mark
et
Cle
ari
ng
Mar
ket
Ag
ent
ILU
TE
Housin
g M
ark
et M
icro
sim
ula
tion M
odel
Ma
rke
t
Cle
ari
ng
Qu
an
tity
De
cis
ion
Lo
ca
tio
n D
ec
isio
n
Su
pp
ly
Mo
bil
ity
De
cis
ion
Lo
ca
tio
n C
ho
ice
De
cis
ion
Dem
an
d
Ac
tiv
e
Dw
ell
ing
Po
ol
Ac
tiv
e
Ho
use
ho
ld P
oo
l
Ho
us
ing
Mark
et
As
kin
g P
ric
e
New Dwel
Existing Dwel
Hhld
(Household , Dwelling) @
Transaction Price
InM
igra
tio
nHhld
Ou
tMig
rati
on
ILU
TE
Sim
ula
ted T
ota
l H
ousin
g S
tart
s,
1987-2
006
To
tal N
ew
Sto
ck
in
GT
A
0
10
00
0
20
00
0
30
00
0
40
00
0
50
00
0
60
00
0
19
87
19
88
19
89
19
90
19
91
19
92
19
93
19
94
19
95
19
96
19
97
19
98
19
99
20
00
20
01
20
02
20
03
20
04
20
05
20
06
CM
HC
Data
ILU
TE
Fore
cast
ILU
TE
Sim
ula
ted 1
991 H
ousin
g P
rices
by D
welli
ng T
ype
De
tach
ed
Ho
usi
ng
Pri
ces
(199
1)
0.00
0
0.05
0
0.10
0
0.15
0
0.20
0
0.25
0
6010
015
020
025
030
035
040
045
050
0M
ore
Pric
e ($
1000
)
Se
mi-
De
tach
ed
Ho
usi
ng
Pri
ces
(199
1)
0.00
0
0.05
0
0.10
0
0.15
0
0.20
0
0.25
0
6010
015
020
025
030
035
040
045
050
0M
ore
Pric
e ($
1000
)
Att
ache
d H
ousi
ng P
rice
s (1
991)
0.00
0
0.05
0
0.10
0
0.15
0
0.20
0
0.25
0
6010
015
020
025
030
035
040
045
050
0M
ore
Pric
e ($
1000
)
Ap
art
me
nt
Ho
usi
ng
Pri
ces
(199
1)
0.00
0
0.05
0
0.10
0
0.15
0
0.20
0
0.25
0
6010
015
020
025
030
035
040
045
050
0M
ore
Pric
es (
$100
0)
ILU
TE
An o
per
atio
nal
pro
toty
pe
is
curr
entl
y b
eing t
este
d.
Soft
ware
Sta
tus
•O
per
atio
nal
pro
toty
pe
run
nin
g w
ith
GT
A 1
986
bas
e
•O
ver
15
,000
lin
es o
f C
++
cod
e in
60
clas
ses
(wil
l co
nv
ert
to C
# o
ver
tim
e)
•F
ull
y d
ocu
men
tati
on
in
UM
L
•R
uns
on a
ny W
indo
ws
wo
rkst
atio
n
•C
an r
un
on
a s
ing
le p
roce
ssor
or
on a
co
mp
uti
ng
clu
ster
; 32-b
it o
r 64
-bit
m
ach
ines
.
ILU
TE
Curr
en
t C
apa
bili
ties
•S
yn
thes
izes
co
nn
ecte
d h
ou
seh
old
s, p
erso
ns,
(jo
bs)
, d
wel
ling
unit
s, a
nd
buil
din
gs
•Im
po
rts
spat
ial
dat
a: c
ensu
s tr
acts
, tr
affi
c zo
nes
, p
lannin
g d
istr
icts
, ro
ad &
tra
nsi
t n
etw
ork
s
•Im
po
rts
trav
el t
ime
dat
a (b
y m
od
e an
d t
ime
of
day
),
and
eco
no
mic
dat
a (e
.g. in
tere
st r
ates
and
co
nsu
mer
p
rice
in
dex
es)
•E
volv
es t
he
syst
em t
o a
n a
rbit
rary
dat
e u
sin
g a
n
arb
itra
ry t
ime
step
by s
imu
lati
ng
th
e ac
tiv
itie
s an
d
beh
avio
urs
of
indiv
idu
al o
bje
cts
•Im
ple
men
ts a
str
esso
r-b
ased
mec
han
ism
fo
r h
andli
ng
tri
gg
ered
ev
ents
, jo
int
dec
isio
ns,
ac
cum
ula
ted
str
ess,
an
d p
erso
n-h
ou
sehold
in
tera
ctio
n
•P
opu
lati
on
upd
atin
g, h
ou
sing
mar
ket
, au
to
ow
ner
ship
and
act
ivit
y/t
rav
el m
od
els
full
y
imp
lem
ente
d
•T
rack
s (i
.e. d
isp
lays)
th
e ac
tivit
ies
and
beh
avio
urs
o
f in
div
idu
al o
bje
cts
and
/or
indiv
idu
al p
roce
sses
•S
imu
late
s p
op
ula
tion
in-m
igra
tio
n a
nd
ou
t-m
igra
tion
•E
xp
ort
s sp
atio
tem
po
ral
dat
a fo
r vis
ual
izat
ion
(s
upp
ort
ing
2D
, 3
D, an
d a
nim
ated
3D
form
ats)
•R
ead
s an
d w
rite
s st
ate
info
rmat
ion
to
any i
nd
ust
ry-
stan
dar
d r
elat
ion
al d
atab
ase
(e.g
. M
S S
QL
Ser
ver
7
.0)
ILU
TE
Soft
wa
re A
dvances
•O
pen
des
ign s
upport
s co
llab
ora
tive
dev
elopm
ent
•C
onta
ins
full
y-e
labora
ted "
real
-worl
d"
clas
ses
•M
icro
sim
ula
tes
per
sons,
house
hold
s, a
nd
fam
ilie
s
•H
andle
s m
ult
iple
spat
ial
aggre
gat
ions
•H
andle
s (f
orm
al a
nd a
d h
oc)
join
t dec
isio
ns
•H
andle
s ev
ents
wit
h t
empora
l le
ads
and
lags
•S
tres
sor-
bas
ed d
ecis
ion-m
akin
g h
andle
s tr
igger
ed e
ven
ts, jo
int
dec
isio
ns,
and
accu
mula
ted s
tres
s
•H
andle
s ar
bit
rary
tim
e in
crem
ents
•In
tegra
tes
tem
pora
l dat
a m
anag
emen
t
•Im
pro
ves
monet
ary
val
ue
han
dli
ng
Simulat
edO
bject
ESex
<<en
um>>
EMar
italS
tatu
s
<<en
um>>
EPrim
aryW
orkM
ode
<<en
um>>
Job
EEdu
catio
nLev
el
<<en
um>>
Mon
etaryV
alue
Pers
on
myA
ge :
int
myH
ouse
holdId :
int
myP
erso
nId
: int
myD
river
sLicen
ceFl
ag :
bool
myP
rimar
yWor
kMod
eTra
velTim
e : f
loat
myM
arria
geM
arke
tAct
ivity
Flag
: bo
ol
myM
othe
rId :
int
myF
athe
rId :
int
myS
pous
eId
: int
-myS
ex-m
yMar
italS
tatu
s
-myP
rimar
yWor
kMod
e
-myJ
ob-m
yEdu
catio
nLev
el
-myS
avings
-myE
quity
-myM
ortg
age
list<
int>
-myE
xSpo
useIdL
ist
-myC
hild
IdList
-myS
iblin
gIdL
ist
EHou
seho
ldTy
pe<<
enum
>>
Hous
ehold
myA
ctive
InHo
usingM
arke
tFlag
: boo
lm
yDwe
llingU
nitId
: int
myH
ouse
holdId :
int
-myP
erso
nIdLi
st
-myV
ehicleIdList
-myH
ouse
hold
Type
Stre
ssM
anag
er
-myS
tress
Man
ager
ILU
TE
On-G
oin
g &
Futu
re W
ork
•S
tart
ing
to r
un
20
-yea
r (1
98
6-2
00
6)
his
tori
cal
val
idat
ion
te
sts.
•M
issi
ng
IL
UT
E c
om
po
nen
ts:
–F
irm
s, f
irm
loca
tion, co
mm
erci
al f
loors
pac
esu
pply
–L
abor
mar
ket
•T
AS
HA
/2–
Impro
ved
act
ivit
y g
ener
atio
n
–Im
pro
ved
sch
edule
r se
nsi
tivit
y t
o a
cces
sibil
ity
–L
inkag
e to
MA
TS
im
ILU
TE
Ack
no
wle
dg
emen
ts t
o t
he
ILU
TE
pro
ject
tea
m:
•Ju
an C
arra
sco
•Il
anE
lgar
•B
ilal
Far
oo
q
•W
enli
Gao
•A
hsa
nH
abib
•K
han
dk
erH
abib
•Ji
ang
Hao
•M
aria
nn
e H
atzo
po
ulo
u
•D
avid
McE
lro
y
•D
avid
Pri
tch
ard
•M
att
Ro
ord
a
•Ja
mes
Vau
gh
an
