TELKOM
NIKA Indonesia
n
Journal of
Electrical En
gineering
Vol.12, No.7, July 201
4, pp
. 5661 ~ 56
6
8
DOI: 10.115
9
1
/telkomni
ka.
v
12i7.556
6
5661
Re
cei
v
ed
Jan
uary 2, 2013
4
;
Revi
sed Ma
rch 2
1
, 2014;
Acce
pted April 12, 2014
Key Technology on Middleware-based Dynamic Traffic
Information Platform
Lei Wu
1
, Tai Yang
2
, Licai Yang*
3
1,3
School of Co
ntrol Scie
nce a
nd Eng
i
n
eeri
n
g
,
S
hando
ng U
n
iversit
y
, Ji
na
n 250
06
1, Chin
a. Email:
2
School of Infor
m
ation Sci
enc
e and En
gi
neer
ing, Sha
n
d
ong
Univers
i
t
y
, Ji
na
n 250
10
0, Chin
a. Email:
1 Schoo
l of Co
ntrol Scie
nce a
nd Eng
i
n
eeri
n
g
,
Shando
ng U
n
iversit
y
, Ji
na
n 250
06
1, Chin
a.
*Corres
p
o
ndi
n
g
Author, Emai
l:
w
u
lei-
17
@16
3
.com
1
, YangT
_sdu
@16
3
.co
m
2
, y
a
nglc
@
sd
u.edu.cn
3
A
b
st
r
a
ct
Accordi
ng to t
r
affic infor
m
ati
on of
mu
lti-so
urce
h
e
terog
e
neity a
nd co
mp
lexity of i
n
f
o
rmatio
n
process
i
ng, th
e arc
h
itecture
of the
dyn
a
mic
traffic
infor
m
ation
pl
atform b
a
s
ed
on
midd
le
w
a
re is
prop
os
ed,
which enhanced the system st
ability, generality,
and
efficiency depending on
the high in
tegration and
scala
bil
i
ty of
middl
ew
are. T
h
i
s
mi
dd
lew
a
re-
base
d
p
l
a
tfor
m
unifi
es a
nd
en
codes t
he
data
from
all
sorts
of
detectors, an
d
integrates th
e mu
lti-
mo
de
transmissio
n
, data pre
p
roc
e
ssing, an
d dat
a fusion. On th
e
pub
lish
i
ng sta
ge, this pl
atform re
ali
z
e
s
the
intera
ctio
ns b
e
tw
een differe
nt publ
ish
i
ng
d
e
vices a
nd tra
ffic
datab
ase thr
o
ugh
an i
n
d
e
p
end
ent traffic
infor
m
ati
on p
u
b
lish
i
n
g
mid
d
l
e
w
a
re. T
he p
r
opos
ed p
l
atfo
rm
overco
mes the
data loss a
nd
data n
o
ise, d
e
c
reases
the
da
ta redun
da
ncy due to the
hete
r
oge
neo
us
mul
t
i-
source d
a
ta, and ens
ures th
e data accur
a
cy w
i
th bette
r
security an
d e
x
pan
da
bility. The perfor
m
anc
e is
efficient, reli
abl
e w
i
th cross-pl
atform
inf
o
rmat
i
on transmission.
Ke
y
w
ords
: middl
ew
are, inf
o
rmatio
n
col
l
e
c
tion, infor
m
at
ion
pub
lish
i
n
g
,
traffic informati
on
platfor
m
,
intelligent trans
portation system
Copy
right
©
2014 In
stitu
t
e o
f
Ad
van
ced
En
g
i
n
eerin
g and
Scien
ce. All
rig
h
t
s reser
ve
d
.
1. Introduc
tion
Along
with th
e e
c
on
omical
develo
p
men
t
and th
e u
r
b
anized
advan
ceme
nt, the
vehicle
quantity incre
a
se
d sh
arply. It brought a
seri
es of
tra
ffic probl
ems such a
s
traffic co
nge
stion
s
,
environ
menta
l
pollutio
n
, a
nd the
in
crea
sed
tra
ffic a
c
cide
nts, a
nd
simultan
eou
sl
y created
hu
ge
energy wa
ste and e
c
on
o
m
ic loss. Th
e traffic co
nd
itions be
cam
e
the bottlen
eck of eco
n
o
m
y
rest
rictio
n an
d the so
cial sustain
able d
e
v
elopment.
With the adv
anced inform
ation tech
nol
ogy applie
d u
n
ce
asi
ngly in the tran
spo
r
tation, the
informati
z
atio
n be
come
s
one of the
importa
nt sol
u
tions to t
r
a
n
sp
ortation
probl
em
s. T
h
e
integratio
n of
advanced te
chn
o
logie
s
such
as
com
p
uter, inform
ation, com
m
uni
cation,
sen
s
o
r
,
electroni
c, an
d a
r
tificial int
e
lligen
ce, fo
rms
a
comp
re
hen
sive, re
al-time, accu
rat
e
, and
efficie
n
t
dy
namic
t
r
af
f
i
c inf
o
rmat
io
n
sy
st
e
m
.
Thi
s
sy
st
e
m
can
adju
s
t the ti
me an
d
spati
a
l di
stributio
n
o
f
traffic flow effectively, advance the road
netwo
rk tr
affic ca
pa
city, realize the info
rmation re
so
urce
sha
r
ing, e
n
h
ance the tra
n
sp
ortation
e
fficiency,
an
d
improve u
r
b
an environm
ent [1]. In recent
years, P
ublic Secu
rity Min
i
stry
ha
s im
pl
emented
the
national
publi
c
se
curity tra
ffic inform
atio
n
system con
s
tructio
n
on a
national scal
e, such as
th
e vehicle an
d
the driver qu
ery system, the
road
traffic
accide
nt inform
ation sy
stem,
the im
po
rted
vehicle
verifi
cation
syste
m
, and th
e m
o
tor
vehicle
re
gist
ration man
a
g
e
ment syste
m
[2-6
]. Whe
n
the
s
e syst
ems coll
ect and pro
c
e
s
s the
traffic inform
a
t
ion, they only serve thei
r
own
re
late
d traffic ma
nage
ment mod
u
le
s. Ho
weve
r, the
informatio
n could n
o
t be
sha
r
ed
or full
y use
d
by th
e othe
r g
o
ve
rnme
nt admi
n
istratio
n o
r
t
h
e
so
cial pu
blic.
This ki
nd o
f
barrie
r
s be
tween diffe
re
nt manag
em
ent depa
rtm
ents cau
s
e t
h
e
“isol
a
ted i
s
la
nd”
problem
i
n
traffic information
sy
st
e
m
s,
whic
h m
a
ke
s t
h
e
info
rmation di
sp
ersion
and the
equi
pment ind
e
p
ende
nce wit
h
the lo
w u
s
e
ratio. Thi
s
ph
eno
men
on be
co
mes the
importa
nt rest
raints to the d
e
velopme
n
t of
Intelligence
Tran
sp
ortatio
n
System (ITS).
Followi
ng th
e
furthe
r devel
opment
of co
ncomita
n
ce transportatio
n
i
n
tellectu
a
lizat
ion, the
indep
ende
nt traffic ma
nagem
ent
system
can
not me
et the n
eed
s
of the flo
u
rishe
d
transpo
rtation
.
Therefo
r
e, reso
urce
sha
r
i
ng am
o
ng all
sort
s of ITS sub
s
ystem
s
appe
ars mo
re
urge
nt [7, 8]. Establi
s
hing
dynamic traf
fic in
form
atio
n platform
by usin
g adva
n
c
ed i
n
form
ation
techn
o
logy re
alize
s
the int
egratio
n, sha
r
ing an
d co
o
peratio
n of all the transp
o
rtation data a
nd
Evaluation Warning : The document was created with Spire.PDF for Python.
ISSN: 23
02-4
046
TELKOM
NI
KA
Vol. 12, No. 7, July 201
4: 5661 – 56
68
5662
resou
r
ces in
a wide
ran
ge
[9, 10]. The dynamic traffic information p
l
atform ca
n al
so combi
ne the
resou
r
ces of each system
org
ani
cally,
so as
to
pe
rform it
s big
g
e
s
t pote
n
cy a
nd form a
ne
w
integrate
d
intelligent tran
sportation
syst
em to
solve the above p
r
o
b
lems. Th
e coexisten
c
e of
all
kind
s
of traff
i
c info
rmatio
n dete
c
tors
with mu
ltipl
e
co
mmuni
cati
on mo
de
s, togethe
r
with
the
hetero
gen
eo
us multi-so
urce char
acte
ri
stic of coll
e
c
ted informa
t
ion and the
complexity of
informatio
n p
r
ocessin
g
[2], bring
s
lots
of inconve
n
ie
nce
s
to the t
r
affic info
rma
t
ion pro
c
e
s
si
ng
and comp
re
h
ensive utiliza
t
ion.
Mean
wh
ile,
there ar
e
so
rts of info
rmation
publi
s
hin
g
mod
e
s in
the traffic inf
o
rmatio
n publ
ishin
g
termin
al. Each p
ubl
ishin
g
mod
e
is develo
ped
respe
c
tively and
acce
sses the
datab
ase di
rectly.
F
r
om
the
persp
ective of security, it incre
a
s
e
s
the
ri
sk of
accessi
ng the datab
ase. In the aspect
of
developm
ent cost, the softwar
e reusability is low
with
long develo
p
m
ent cycle a
nd hug
e co
st.
Con
s
e
quently
, an intelli
gen
t dynami
c
traf
fic info
rmatio
n platfo
rm b
a
s
ed
on
mid
d
l
e
wa
re
is
prop
osed to simplify the traffic informati
on system
structu
r
e a
nd u
n
iform the tra
ffic informatio
n
comm
uni
cati
on protocol
in order to l
a
tter inform
ation processi
ng and com
p
rehensive utilizati
on.
This platform
overcom
e
s t
he data missing, t
he data noise, and
esp
e
ci
ally the hetero
gen
e
ous
multi-source
whi
c
h affect
s the entire traffic in
formati
on system, redu
ce
s the data redu
nda
n
c
y,
guarantee
s t
he data a
c
cu
racy, an
d en
han
ce
s the d
a
ta tran
smi
s
sion reli
ability. More
over, the
middle
w
a
r
e-b
a
se
d traffic informatio
n publi
s
hing
system in the platform realizes effici
ent,
cre
d
ible, an
d cro
s
s-platform data tran
smissi
on [11
-
1
3
].
2. Middle
w
a
r
e-ba
sed Platform Arc
h
ite
c
ture
The dyna
mic traffic information platfo
rm colle
cts the traffic info
rmation from
different
detecto
rs e
q
u
ippe
d in the road n
e
twork firstly.
Then, it transf
o
rm
s, pro
c
e
s
se
s, stores t
h
e
colle
cted info
rmation, and
analyzes the
data for com
p
reh
e
n
s
ive utilization. Moreover, in ord
e
r to
meet the re
q
u
irem
ents of
different
u
s
ers, the platform will also
provide useful audio a
nd vid
eo
data for in
qui
ry and
sele
cti
on. The
r
efore
,
a compl
e
te dynamic
t
r
affic
information platform sho
u
l
d
inclu
de at lea
s
t four ba
si
c function
s. Th
e first is
info
rmation collection, such as fixed detecto
rs
(e.g. coil d
e
tector,
micro
w
ave
dete
c
to
r, video
det
e
c
tor, et
c.)
an
d movabl
e fl
oating
ca
r. T
h
e
se
con
d
i
s
dat
a processin
g
and
analysi
s
,
incl
uding
dat
a prep
ro
ce
ssi
ng, data
fusi
o
n
, data mi
nin
g
,
optimal route
deci
s
io
n ma
ki
ng, and
dia
g
ram informat
io
n stati
s
tics. T
he third is tra
ffic inform
ation
publi
s
hing, i
n
cludi
ng inte
rn
al information
publi
s
hin
g
system an
d ex
ternal i
n
form
ation p
ublishi
ng
system. The
last is the da
ta storag
e a
nd backu
p. The logic a
r
ch
itecture of ge
neral dyn
a
mi
c
traffic inform
a
t
ion platform
can b
e
de
scri
bed a
s
Figu
re
1.
Figure 1. Tra
d
itional Logi
c
Archite
c
ture of
Dynamic T
r
affic Inform
ation Platform
Figure 1
sho
w
s that th
e
data
colle
cte
d
from
different ki
nd
s
of dete
c
tors
h
a
ve the
cha
r
a
c
teri
stics of mult
i-source, hete
r
ogen
eity, hierarchy,
impe
rfection, a
n
d
incon
s
i
s
ten
c
y.
More
over, th
e data
also
have the te
mporal an
d
spatial
chara
c
teri
stics. He
nce, th
ey ne
ed
advan
ced
dat
a p
r
o
c
essin
g
techn
o
logy
such
a
s
d
a
ta
prep
ro
ce
ssin
g an
d d
a
ta fu
sion
to e
nha
nce
Evaluation Warning : The document was created with Spire.PDF for Python.
TELKOM
NIKA
ISSN:
2302-4
046
Key Te
chn
o
lo
gy on Mid
d
le
ware-ba
s
ed
Dynam
ic Traf
fic Inform
ation Platform
(Tai Yang)
5663
the reliability and a
c
cura
cy
. Special su
b
-
datab
as
es,
whi
c
h po
sse
s
s hug
e data
spa
c
e, mu
st be
desi
gne
d fo
r
data
storage.
The
in
crea
sed d
a
ta
red
u
ndan
cy g
o
e
s
agai
nst
to d
a
ta p
r
o
c
e
ssi
n
g
.
Mean
while, the traffic info
rmation pu
bli
s
hin
g
te
rmina
l
s acce
ss the
database
directly. It not only
increa
se
s the throug
hput
, but also increa
se
s
the
risk of data acce
ssi
ng.
However, the
middle
w
a
r
e-b
a
se
d traffic in
formation pl
atform c
an ove
r
co
me the a
b
o
ve disa
dvan
tages
so a
s
t
o
provide a
saf
e
, reliable, efficient, and a
c
curate dynam
ic inform
ation
platform. Figure 2 sho
w
s t
he
logic a
r
chitect
u
re of middl
e
w
are-ba
sed d
y
namic traffic information p
l
atform.
Figure 2. Logi
c Architectu
re
of Middlewa
r
e-ba
se
d Dyn
a
mic T
r
affic Informatio
n Platform
The lo
gic
architecture of d
y
namic traffic
informatio
n
platform b
a
sed on th
e mi
ddle
w
are
in Figure 2 is divided into three laye
rs,
namely,
the traffic colle
ction and p
r
o
c
e
ssi
ng layer, t
he
data sto
r
ag
e layer, and the
information
p
ublishing
laye
r. Each laye
r
is well
arrang
ed and
ea
sy to
develop
ed an
d impleme
n
te
d.
3. Ke
y
Technolog
y
3.1. Information Collectio
n and Proce
ssing
Multi-sen
s
or
detectio
n
wit
h
com
p
leme
n
t
ary
advanta
ges b
e
come
s the main di
rection in
traffic inform
a
t
ion colle
ction
system. The
real
-tim
e information acce
ssed to the traf
fic informatio
n
platform i
s
co
llected from
sorts
of dete
c
tors and
ar
tificial coll
ection
sou
r
ces l
o
cated in the
urb
an
road
net
work. Automatic d
e
tectors i
n
cl
u
de fixed
d
e
t
e
ct
or
s,
s
u
c
h
a
s
coil d
e
t
e
ct
o
r
s,
mi
cr
ow
av
e
detecto
rs, vid
eo dete
c
tors,
and mova
bl
e floating ca
r detecto
rs. T
he collectio
n
locatio
n
of fixed
detecto
rs is fixed with
a
small covera
g
e
. Ho
weve
r,
the a
c
curacy
of the
colle
ct
ed d
a
ta is hig
h
. In
the cont
rary,
the floating car dete
c
tors
can
colle
ct
m
a
ss of data with a large
ra
nge, whi
c
h
h
a
ve
alrea
d
y bee
n
one of the
most imp
o
rt
ant inform
ation colle
ction
mode
s. Ho
wever, the
d
a
ta
accuracy
coll
ected
by the
floating
car
is le
ss lo
wer due to
interf
eren
ce
s
of G
PS locali
zati
on
sign
al by the shelte
r from u
r
ban exp
r
e
ssways a
nd
hig
h
-ri
se b
u
ildin
gs an
d the internal affe
cts.
As ea
ch
ki
nd
of traffic i
n
fo
rmation
dete
c
tor
ha
s the
good
and
ba
d poi
nts
re
sp
ectively,
the colle
cted
traffic param
eter type and
form as
well as the data
format are p
o
ssibly vario
u
s.
Hen
c
e, the traffic data h
a
ve the
char
act
e
ri
st
ic
s s
u
ch as mult
i
-
source, isom
e
r
ism, hie
r
archy,
imperfe
ction
and i
n
con
s
ist
ency, a
nd th
ey also h
a
ve
the time
an
d spatial
ch
a
r
acte
ri
stic.
Data
processi
ng techni
ques li
ke
information f
u
sion can
enhance th
e traffic inform
ation reli
ability and
accuracy, an
d it is also a
b
l
e to transfo
rm the impre
c
i
s
e, incompl
e
te, incon
s
i
s
te
nt and un
reli
able
traffic inform
a
t
ion to uniform explanatio
n and de
scrip
t
ion to the goal or the phe
n
o
meno
n.
Con
s
id
erin
g
the co
existe
nce
of sort
s of co
mmuni
cation
pattern, the hete
r
ogen
eou
s
multi-source t
r
affic inform
a
t
ion terminal
s provid
ed b
y
all kinds of traffic inform
ation detecto
rs,
and the
complex traffic informatio
n pro
c
e
s
sin
g
, the middl
ewa
r
e
-
ba
sed
dynamic traffic
informatio
n colle
ction sy
stem con
s
truction
i
s
propo
sed to
simplify the traffic info
rm
ation
collection sy
stem st
ructure and
regul
a
te traffic
data
format. T
h
is
constructi
on
will use t
he
middle
w
a
r
e tech
nolo
g
y to uniform a
nd
cod
e
the dat
a from differe
nt traffic information dete
c
t
o
rs
so
as to
well
pe
rform
the
data p
r
ep
ro
cessin
g
an
d f
u
sio
n
. Th
e m
i
ddle
w
are-b
a
sed
sy
stem
can
o
v
e
r
co
me
th
e d
i
s
a
d
v
an
ta
ge
s
s
u
ch
as
da
ta
miss
ing,
data noi
se, a
nd multi-sou
r
ce hete
r
o
gen
eou
s
isome
r
i
s
m, a
s
well
as
re
duci
ng the d
a
ta re
d
und
an
cy, guarante
e
ing the d
a
ta accu
ra
cy, and
enha
nci
ng th
e data tran
sm
issi
on reli
abili
ty.
Evaluation Warning : The document was created with Spire.PDF for Python.
ISSN: 23
02-4
046
TELKOM
NI
KA
Vol. 12, No. 7, July 201
4: 5661 – 56
68
5664
The lo
gic
constructio
n
o
f
middle
w
are
-
ba
se
d
dyna
mic traffi
c i
n
formatio
n collectio
n
system
integ
r
ates the
sy
stem i
n
to th
ree laye
rs
: traffic info
rmat
ion d
e
tecto
r
layer
(Detect
i
ng
layer), info
rm
ation
colle
ctio
n and
the
pro
c
e
ssi
ng
laye
r (Mid
dleware
layer),
and t
r
affic informati
o
n
stora
ge laye
r (Traffic
Data
base layer). Each laye
r is clea
rly distin
ct and e
a
sy to develop a
n
d
reali
z
e. Th
e
main
cha
r
a
c
teristi
c
of the i
n
format
io
n co
llection mi
ddl
ewa
r
e i
s
to ef
fectively man
age
the con
n
e
c
tio
n
and a
c
cessing to the databa
se so
as t
o
improve m
u
lti-user a
c
ce
ssi
ng data
b
a
s
e
perfo
rman
ce,
optimize n
e
twork t
r
an
smissi
on,
a
n
d
su
ppo
rt wit
h
many
kin
d
s
of datab
ase
acce
ssi
ng. T
he info
rmatio
n coll
ectio
n
middle
w
a
r
e
ma
inly con
s
ists of th
e fol
l
owin
g four p
a
rts.
Firs
tly, it c
o
ntains
the traffic
information tran
smis
sio
n
by
se
rial p
o
r
t
of netwo
rk
comm
uni
cati
on.
Secon
d
ly, it
use
s
the Interface
Definiti
on Lang
uag
e
(IDL) in CO
RBA middle
w
are technol
og
y
to
cu
stomize th
e information
colle
ction
po
rt, whi
c
h
ca
n
match
with
all kin
d
s of traffic informati
on
detecto
rs. It
can
al
so id
en
tify and spe
c
ify the dat
a from the
s
e
det
ectors, a
nd
realize the
re
al-
time coll
ectio
n
of traffic flo
w
, vehi
cle
sp
eed, la
ne
occupan
cy, an
d
so
on. Thi
r
dly
,
it prep
ro
ce
sse
s
all the coll
ect
ed hete
r
og
en
eou
s multi-so
urce data
and
matche
s the
Floating
Car
Data (FCD) i
n
to
the ele
c
tro
n
ic map
by ro
ad
network mat
c
hin
g
alg
o
rith
m ba
sed
on
the n
e
two
r
k to
pology
relatio
n
.
In the end, the middle
w
a
r
e
fuses the p
r
e
p
ro
ce
ssed da
ta and moves them into the Databa
se.
3.2. Information Publishing
Along with th
e developm
e
n
t of the intelligen
ce
tran
sp
ortation sy
ste
m
, the dynamic traffic
informatio
n publishing sy
stem pre
s
ent
s the unifica
tio
n
of the diversi
t
y and information accu
ra
cy.
The gen
eral
traffic information publi
s
hin
g
mode
s include Sh
ort Messa
g
e
Service (S
MS),
Variabl
e Messag
e Sign (V
MS), traffic ra
dio, vehicle te
rminal, an
d Internet.
Each
publi
s
hi
ng mo
de
is
develop
ed
re
spe
c
tive
ly an
d a
c
cesse
s
t
he d
a
taba
se
dire
ctly.
From the pe
rspe
ctive of secu
rity
, it increases the ri
sk of acce
ssin
g the databa
se. In the aspect
of developm
ent co
st, the reusability is low
with lon
g
developm
e
n
t cycle and
huge cost. T
h
e
informatio
n
publi
s
hing
m
i
ddle
w
are i
s
a m
odul
e
co
nsi
s
ting
of a m
e
ssa
ge tran
smission
mech
ani
sm
or me
ssag
e
queue
mo
de. It provides
a gen
e
r
al an
d cre
d
ible meth
o
d
for
establi
s
hi
ng,
se
nding,
an
d re
ceivin
g i
n
formatio
n
so a
s
to
reali
z
e
effective, relia
ble,
cro
s
s-
platform information transmission by utilizi
ng efficient credi
bl
e information transmissi
o
n
mech
ani
sm f
o
r d
a
ta excha
nge a
m
on
g di
fferent platfo
rms. Th
e pu
bli
s
hin
g
mid
d
le
ware inte
grat
es
the com
m
on
ness of different publi
s
hin
g
mode
s,
an
d it is inde
pe
ndent of all t
hese publi
s
hi
ng
mode
s. The publi
s
hing mi
ddle
w
are ca
n
be suitable
f
o
r cu
rrent pu
blishi
ng mod
e
s by se
con
d
a
ry
developm
ent. It locates
bet
wee
n
the d
a
taba
se a
nd e
a
c
h p
ubli
s
hing
terminal
so
a
s
to si
mplify the
databa
se
cal
l
, provide pu
blic po
rt for accessin
g databa
se a
c
ce
ss a
u
thorit
y for enhan
cing
databa
se se
curity.
The logi
c architecture of the dynamic tra
ffi
c informatio
n publi
s
hing
system is divid
ed into
three laye
rs, i
n
clu
d
ing d
a
ta
store laye
r, informatio
n pu
blishi
ng middl
ewa
r
e laye
r, and multi-mo
de
informatio
n
publi
s
hing
la
yer. Each l
a
yer i
s
well
arran
ged
a
nd e
a
sy to
develop
ed
and
impleme
n
ted.
The informat
ion publi
s
hin
g
middl
e
w
are
developme
n
t package d
o
cument co
ntai
ns
four pa
rts,
which are co
m.traffic.db
con
n
packa
ge, com.traffic.ro
a
d
info pa
ckage,
com.traffic.m
e
ssag
e pa
ckage, an
d
co
m.traffic.exam
ple p
a
cka
g
e. From
the f
unctio
n
a
s
pe
ct, the
informatio
n p
ublishing mi
d
d
leware i
n
cl
u
des
data
con
nectio
n
mod
u
l
e, SMS mod
u
le, roa
d
sect
ion
inquiry mo
dul
e, cong
estio
n
degre
e
inqui
ry module, an
d so on.
3.3. Data M
a
nagemen
t
The data
b
a
s
e desi
gn is
o
ne of the mai
n
conte
n
ts in
dynamic traffic inform
ation
platform
con
s
tru
c
tion.
A good data
b
a
se d
e
si
gn i
s
the essent
ial
con
d
ition of
stable o
p
e
r
ati
on of dynami
c
traffic inform
ation platfo
rm with m
a
ss data. Be
si
de
s the
ba
sic f
unctio
n
s li
ke
guarantee
of
data
stora
ge a
nd
backu
p, the
databa
se
design mu
st en
sure the
data
se
cu
rity so a
s
to provide t
h
e
entire info
rma
t
ion platform
safety
The real-tim
e
data is
sav
ed in di
strib
u
t
ional
datab
a
s
e, which im
prove
s
the
reliability,
availability, scala
b
ility of the traffic inf
o
rmat
io
n pl
atform. On
e-mi
nute d
a
ta a
n
d
fifteen-mi
n
u
te
data are p
r
o
c
essed an
d integrate
d
re
sp
ectively,
and then tran
smitt
ed to the cent
ral datab
ase for
further i
n
form
ation analy
s
i
s
, utilizatio
n and pu
blis
hin
g
. This p
r
o
c
e
dure
ca
n not
only lighten
the
burd
en
of ce
ntral d
a
taba
se, but al
so
sa
tisfy the r
eal-t
ime de
man
d
of inform
ation
se
rvice
a
s
well
as en
han
cin
g
platform ope
rating efficie
n
c
y.
The sto
r
a
ge
of traffic dat
a inclu
d
e
s
st
atic
informati
on and
dyna
mic info
rmati
on. The
static traffic
informatio
n is time indep
ende
nt
with less update,
which
save
s as the m
a
p
Evaluation Warning : The document was created with Spire.PDF for Python.
TELKOM
NIKA
ISSN:
2302-4
046
Key Te
chn
o
lo
gy on Mid
d
le
ware-ba
s
ed
Dynam
ic Traf
fic Inform
ation Platform
(Tai Yang)
5665
document o
r
static attrib
ute data in the databa
se.
Th
e dynamic tra
ffic informatio
n is highly time
depe
ndent. T
he data q
uan
tity increa
se
s along
with ti
me variation,
which ne
eds to be saved
in
the real
-time databa
se.
Becau
s
e
of th
e qui
ck chan
ge of dyn
a
mi
c traffic information d
ue to
time variatio
n and
the
sho
r
t sam
p
lin
g time interva
l
, the data ca
pacity
ca
n m
u
ltiply and ca
use h
eavy da
tabase burde
n
,
whi
c
h b
r
ing
s
the difficulty for d
a
ta sto
r
a
ge. Ho
w to
d
e
sig
n
the d
a
taba
se
rea
s
on
ably and
ch
o
o
se
the
app
rop
r
i
a
te
storage scheme be
comes one
o
f
the import
ant issue
s
o
f
dynamic traffic
informatio
n pl
atform.
The
g
ene
ral data stora
ge approa
ch
fo
r the
tr
affic ma
nagem
ent ce
nter
i
s
to del
ete
the
colle
cted
dat
a after a
ce
rtain pe
riod
prese
r
vation. T
he del
etion of
origin
al data
can
re
sult in
data
loss so a
s
to bring in
co
nvenien
ce to
traffic mana
gement, anal
ysis, plan
nin
g
, and de
cision
makin
g
as
well as the hi
story data main
tenan
ce an
d value-a
dde
d servi
c
e
s
. In orde
r to solve
the
above p
r
obl
e
m
, the data
must b
e
integ
r
ated
before t
he del
etion.
The
spe
c
ific i
m
pleme
n
tatio
n
is
to integ
r
ate t
he d
a
ta in
di
fferent time
i
n
terval
acco
rding to
different ap
plicatio
n de
mand
s.
For
example, the
origin
al data
colle
cted in t
he time
interv
al of twenty seco
nd a
r
e int
egrate
d
in on
e
-
minute data,
five-minute d
a
ta, fifteen-m
i
nute data,
a
nd on
e-h
o
u
r
data re
sp
ecti
vely for furth
e
r
history data a
nalysi
s
and ut
ilization
so a
s
to reduc
e the
data stora
ge
cap
a
city. The
original traffic
data sh
ould
be pre
s
e
r
ved
at least one
day as
well
as a mont
h for the one
-mi
nute data an
d a
year for the o
ne-h
o
u
r
data.
4. Middle
w
a
r
e-ba
sed Platform Re
aliza
t
ion
Acco
rdi
ng to Jinan ro
ad traffic reso
urce
s an
d Jinan int
e
lligent tran
spo
r
tation
developm
ent prog
ram, we demon
stratively
establi
s
h
ed the
dyna
mic traffi
c inf
o
rmatio
n plat
form
based o
n
middle
w
a
r
e.
This
syst
e
m
mainly
in
clud
es
hete
r
ogen
eou
s m
u
lti-so
urce t
r
affic
informatio
n collectio
n syst
em, intern
al traffic in
fo
rma
t
ion publi
s
hin
g
system
se
rving the traffic
manag
eme
n
t depa
rtment,
and exte
rnal t
r
affic info
rm
at
ion pu
blishin
g
syste
m
serving the ge
ne
ral
traffic
partic
i
pants
.
The Dynami
c
traffic information coll
ecti
on system
based on mi
ddle
w
are is sho
w
n in
Figure 3. After ente
r
ing th
e syst
em, the
system can i
m
pleme
n
t the function
s of data coll
ectio
n
,
data p
r
ep
ro
cessing, d
a
ta
fusion,
data
store,
and
so o
n
in th
e ba
ckgroun
d autom
atica
lly.
More
over, th
e syste
m
al
so ha
s the fu
nction
s
of
da
ta que
ry, roa
d
se
ction
ma
nagem
ent, u
s
er
manag
eme
n
t so as to provide conve
n
i
ent operat
io
n of later data query, data utilization, and
fluctuant ro
ad
and dete
c
tor
informatio
n
manag
ement d
ue to further
rene
wal.
Figure 3. Middleware
-
ba
se
d Dynami
c
Informatio
n Coll
ection Syste
m
Evaluation Warning : The document was created with Spire.PDF for Python.
ISSN: 23
02-4
046
TELKOM
NI
KA
Vol. 12, No. 7, July 201
4: 5661 – 56
68
5666
The internal traffic inform
a
t
ion publishin
g
sy
stem serving the traffic co
ntrol de
p
a
rtment
reali
z
e
s
the followin
g
funct
i
on ba
sed o
n
the electroni
c map.
Basic op
eration in
clud
es map
zo
om
-in, zoom
-ou
t, translatio
n
,
inquiry, a
n
d
layer
manag
eme
n
t in the Geog
ra
phy Informati
on System (G
IS) platform.
Data
analy
s
is incl
ude
s
dyn
a
mic data
inq
u
iry,
stati
c
d
a
t
a inqui
ry, dat
a mini
ng, a
n
d
histo
r
y
trend an
alysi
s
.
Video man
a
g
e
ment in
clud
es regul
ation
of
video po
sition, video
attribute editi
on, and
video ch
eckin
g
.
Authority op
eration i
n
clu
des inte
rvent
ion func
tio
n
of the intern
al traffic info
rmation
publi
s
hing
system,
su
ch
a
s
the
pu
blish
ed info
rmatio
n editio
n
a
n
d
mana
gem
en
t. The inte
rn
al
traffic inform
a
t
ion publi
s
hin
g
system i
s
a
s
sh
own in Figure 4.
Figure 4. Internal Traffic Informatio
n Pub
lishin
g
System
The internal
information
publishing
system
en
ha
nce
s
the efficien
cy of the traffic
sup
e
rvisi
ng
and man
agi
ng dep
artme
n
ts, and the
external informatio
n pu
blishi
ng sy
stem
manifest
s its i
m
porta
nt valu
e. What the p
l
atform
play
s for is n
o
othe
r than
servin
g
gene
ral traffi
c
partici
pant
s. The extern
al informatio
n pu
blishi
ng sy
ste
m
is sh
own in
Figure 5.
Figure 5. One
of the External Tra
ffic Information Publi
s
hing System
Evaluation Warning : The document was created with Spire.PDF for Python.
TELKOM
NIKA
ISSN:
2302-4
046
Key Te
chn
o
lo
gy on Mid
d
le
ware-ba
s
ed
Dynam
ic Traf
fic Inform
ation Platform
(Tai Yang)
5667
Comp
ared with traditional
traffic information platfo
rm, the mid
d
leware
-ba
s
e
d
traffic
informatio
n p
l
atform inte
grates th
e traffic d
a
ta
coll
ect
i
on, traffic inf
o
rmatio
n m
a
nagem
ent, a
nd
traffic inform
ation rel
e
a
s
i
ng. The mi
ddle
w
are-
b
a
sed traffic pl
atform in
clu
des th
e sta
t
ic
geog
rap
h
ic
map data, real-time traffic inform
at
ion
,
and traffic control dat
a. The pro
p
ose
d
platform ca
n provide
a coi
n
cid
ent
d
a
ta acce
ss
in
terf
ace
to m
anag
e an
d
cont
rol
the data
so a
s
t
o
overcome th
e differen
c
e
s
among all
sorts of tra
ffic data so
urce
in variou
s traffic appli
c
ati
on
system
s. The
introdu
ction
of
middleware not only can sh
are t
h
e
traffic data among diffe
rent
sub
s
ystem
s
, but
also can make
the
info
rmation
q
uery and utilizati
on acro
ss pl
a
tforms ea
sie
r
to
traffic
adminis
trators
.
5. Conclusio
n
The traffic informatio
n platform is the hu
b
of the intelligent tran
spo
r
tation system
, which
sha
r
e
s
the i
n
formatio
n from so
rts of t
r
affic su
b
s
yst
e
ms. The t
r
a
ffic informati
on platform
can
provide
signif
i
cant criteri
o
n
s
for the rele
vant
depa
rtments to imple
m
ent scientifi
c
tran
sp
ortati
on
orga
nization
and
control sch
e
me
s. The
platfo
rm a
dopt
s
advan
ced
d
a
ta sto
r
ag
e
and
manag
eme
n
t techn
o
logy t
o
integrate a
nd man
age
a
ll these traffic sub
s
ystem
s
efficiently so
as
to solve th
e
isolate
d
information p
r
obl
em. The mi
d
d
leware
-ba
s
e
d
dynami
c
traffic inform
ation
platform bri
n
gs the middle
w
are tech
nol
ogy in the
traditional traffic information
platform, coll
ects
and
publi
s
he
s the
dynami
c
traffi
c info
rmation
so
as
to provide
a
c
curate
an
d
real
-time traffic
informatio
n to the general traffic travele
r
s.
The co
existe
nce of all kin
d
s of traffic information det
ectors with m
u
ltiple comm
unication
mode
s, toget
her
with the h
e
terog
ene
ou
s multi-sour
ce
cha
r
a
c
teri
stic of colle
cted i
n
formatio
n an
d
the informati
on p
r
o
c
e
ssi
n
g
complexity, brin
gs lo
ts of inc
o
nvenienc
es
to the traffic
information
pro
c
e
ssi
ng a
nd com
p
rehe
nsive utiliz
ation. Mean
whil
e, there are
sorts of inform
ation publi
s
hi
ng
mode
s in th
e traffic info
rmation p
ubli
s
hin
g
termin
al. Each p
u
b
lishi
ng mo
d
e
is devel
op
ed
respe
c
tively and acce
sse
s
the
d
a
taba
se directly.
F
r
om
th
e perspective of se
curity, it incre
a
se
s
the ri
sk of accessi
ng the
database. In the aspect of developm
ent cost, the
reusability is low wi
th
long
develop
ment cy
cle
a
nd h
uge
co
st. The p
r
o
p
o
s
ed
intellige
n
t
dynamic traffic informat
ion
platform ba
se
d on middl
eware i
s
to simp
lify the traffic
informatio
n system stru
ctu
r
e an
d uniform
the traffic informatio
n co
mmuni
cation
protocol
in orde
r to latter informatio
n
processin
g
and
comprehensi
ve utilizati
on.
This platform overcomes the data
missi
ng, the data noise, and
esp
e
ci
ally the heterogen
e
ous m
u
lti-sou
r
ce
whi
c
h
aff
e
cts the e
n
tire traffic information sy
ste
m
,
redu
ce
s th
e
data
red
u
n
dan
cy, gua
rantee
s t
he
data a
c
cura
cy, and
enh
ances the d
a
ta
transmission reliability.
Moreover,
the
m
i
ddleware-based traffic inf
o
rmation publ
ishing
system
in
the platform realizes effici
e
n
t, credibl
e, and cross-platf
o
rm data tran
smissio
n
.
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