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r
e
1
.
Statis
tic
s
o
f
R
o
ad
Acc
id
en
ts
-
2014
T
h
e
p
r
o
p
o
s
ed
s
o
lu
tio
n
w
ill
n
o
t
m
ak
e
u
s
e
o
f
an
y
ad
d
itio
n
a
l
h
ar
d
w
ar
e
eq
u
ip
m
e
n
t
r
ath
er
it
u
s
e
s
t
h
e
d
ata
f
r
o
m
t
h
e
s
e
n
s
o
r
s
li
k
e
(
Acc
eler
o
m
e
ter
,
G
y
r
o
Sen
s
o
r
,
Ma
g
n
e
to
m
eter
etc.
)
.
I
n
t
h
is
S
m
ar
tp
h
o
n
e
er
a,
e
v
er
y
p
er
s
o
n
p
o
s
s
ess
es
a
S
m
ar
tp
h
o
n
e
th
at
is
GP
S
en
ab
led
an
d
al
w
a
y
s
co
n
n
ec
ted
to
th
e
in
ter
n
et.
T
h
is
en
ab
les
u
s
to
d
ev
elo
p
an
A
n
d
r
o
id
ap
p
licatio
n
th
at
u
s
es
t
h
e
d
ata
g
en
er
ated
o
u
t
o
f
th
e
ex
i
s
ti
n
g
s
e
n
s
o
r
s
i
n
th
e
S
m
ar
tp
h
o
n
e
to
aler
t
th
e
u
s
er
r
eg
ar
d
in
g
b
u
m
p
s
an
d
b
ad
r
o
a
d
s
.
T
h
e
ch
allen
g
e
f
o
r
th
is
ap
p
licatio
n
is
in
p
o
p
u
l
atin
g
d
ata
w
it
h
th
e
s
p
ee
d
b
r
ea
k
er
lo
ca
tio
n
s
.
T
h
e
s
a
m
e
s
m
ar
tp
h
o
n
e
t
h
at
ta
k
es
t
h
e
d
ata
f
r
o
m
th
e
s
er
v
er
w
ill
a
ls
o
p
r
o
v
id
e
th
e
d
ata
ab
o
u
t
n
e
w
s
p
ee
d
b
r
ea
k
er
s
an
d
b
u
m
p
y
r
o
ad
s
to
t
h
e
s
er
v
er
,
j
u
s
t
li
k
e
t
h
e
co
n
ce
p
t
o
f
to
r
r
en
ts
:
“
if
y
o
u
w
a
n
t
s
o
m
et
h
i
n
g
,
y
o
u
n
ee
d
to
s
h
ar
e
s
o
m
et
h
i
n
g
”.
T
h
is
p
ap
er
g
i
v
es
a
p
r
o
o
f
o
f
co
n
ce
p
t
t
h
at
i
s
b
ei
n
g
d
ev
elo
p
ed
as
a
n
an
d
r
o
id
s
er
v
ice
w
h
ich
w
ill
r
u
n
r
el
y
i
n
g
o
n
t
h
e
Go
o
g
le
m
ap
s
ap
p
licatio
n
.
T
h
e
r
est
o
f
th
is
p
ap
er
is
o
r
g
an
ized
as
f
o
llo
w
s
:
r
elate
d
w
o
r
k
i
n
Secti
o
n
2
,
p
r
o
p
o
s
ed
s
y
s
te
m
a
n
d
its
ar
ch
itectu
r
e
in
s
ec
tio
n
3
,
i
m
p
le
m
e
n
tatio
n
o
f
t
h
e
s
y
s
te
m
w
it
h
d
etec
tio
n
tech
n
iq
u
es,
clas
s
i
f
icatio
n
,
d
atase
ts
an
d
r
esu
lts
i
n
s
ec
tio
n
4
an
d
co
n
clu
s
io
n
in
s
ec
tio
n
5
.
2.
RE
L
AT
E
D
WO
RK
S
Mo
s
t
o
f
t
h
e
e
x
i
s
tin
g
s
y
s
te
m
s
u
s
e
an
ad
d
itio
n
al
h
ar
d
w
ar
e
to
d
etec
t
th
e
Sp
ee
d
b
r
ea
k
er
s
,
m
o
s
t
o
f
w
h
ic
h
ar
e
ex
p
en
s
i
v
e.
So
m
e
o
f
th
e
e
x
i
s
tin
g
ap
p
r
o
ac
h
es a
r
e
d
is
cu
s
s
ed
in
th
i
s
s
ec
tio
n
.
Ma
g
n
e
to
m
eter
an
d
ac
ce
ler
o
m
eter
ar
e
th
e
t
w
o
s
m
ar
tp
h
o
n
e
s
en
s
o
r
s
u
s
ed
b
y
t
h
e
s
y
s
te
m
p
r
o
p
o
s
ed
b
y
W
o
lv
er
in
e
[
3
]
.
T
h
is
m
eth
o
d
u
s
es
ac
ce
ler
o
m
eter
s
en
s
o
r
o
f
a
s
m
ar
tp
h
o
n
e
to
co
llect
th
e
d
ata
f
o
r
th
e
m
o
n
ito
r
i
n
g
o
f
tr
af
f
i
c
a
n
d
d
etec
ti
n
g
t
h
e
r
o
ad
b
u
m
p
s
.
T
h
e
Ma
g
n
eto
m
ete
r
is
u
s
ed
f
o
r
th
e
r
eo
r
ien
ta
tio
n
o
f
t
h
e
a
x
es
o
f
t
h
e
v
eh
ic
le
a
n
d
d
ev
ice
s
i
n
ce
t
h
e
d
ev
ice
m
a
y
b
e
p
lace
d
i
n
s
id
e
t
h
e
v
e
h
icle
at
an
y
ar
b
itra
r
y
o
r
ien
tatio
n
.
T
h
is
ca
n
b
e
d
o
n
e
in
t
w
o
s
tag
e
s
.
I
n
th
e
f
ir
s
t
s
tag
e,
g
eo
m
etr
ic
ax
e
s
an
d
p
h
o
n
e’
s
ax
es
s
h
o
u
ld
b
e
alig
n
ed
.
I
n
th
e
s
ec
o
n
d
s
ta
g
e,
th
e
n
e
w
d
ev
ice
’
s
ax
e
s
ar
e
ali
g
n
ed
w
it
h
v
e
h
i
cle
a
x
es.
GP
S
is
u
s
ed
to
lo
ca
te
t
h
e
d
ir
ec
tio
n
o
f
m
o
tio
n
o
f
v
e
h
icle
s
to
f
i
n
d
th
e
a
n
g
le
o
f
m
o
t
io
n
o
f
t
h
e
v
eh
ic
le
w
it
h
m
a
g
n
et
ic
n
o
r
th
to
tr
a
n
s
f
o
r
m
t
h
e
d
e
v
ice
s
ax
e
s
to
w
ar
d
s
t
h
e
v
eh
ic
le
ax
es.
T
h
e
d
ata
f
r
o
m
t
h
e
s
e
n
s
o
r
is
clas
s
if
ied
in
to
t
wo
class
es
u
s
i
n
g
K
-
m
ea
n
s
clu
s
t
er
in
g
al
g
o
r
ith
m
an
d
th
e
y
ar
e
m
a
n
u
all
y
lab
eled
as
eith
er
s
m
o
o
t
h
o
r
b
u
m
p
y
an
d
b
r
ea
k
o
r
n
o
t.
SVM
is
tr
ain
ed
u
s
i
n
g
t
h
is
lab
eled
d
ata
f
o
r
class
i
f
icatio
n
o
f
d
ata
p
o
in
ts
d
u
r
in
g
test
f
ac
e
f
o
r
v
eh
icle
s
tate
p
r
ed
ictio
n
.
Fo
r
b
u
m
p
d
etec
tio
n
,
th
is
s
y
s
te
m
p
r
o
d
u
ce
s
1
0
%
f
alse
n
eg
a
tiv
e
r
ate
an
d
f
o
r
t
h
e
d
etec
tio
n
o
f
b
r
ea
k
in
g
t
h
e
s
y
s
te
m
p
r
o
d
u
ce
s
2
1
.
6
%
f
alse
n
eg
a
tiv
e
r
ate
an
d
2
.
7
%
f
al
s
e
p
o
s
iti
v
e
r
ate.
T
h
e
m
ain
d
r
a
w
b
ac
k
o
f
t
h
is
s
y
s
te
m
i
s
it
r
eq
u
ir
es
m
ag
n
eto
m
eter
f
o
r
r
eo
r
ien
tatio
n
,
b
u
t
m
ag
n
eto
m
e
ter
is
n
o
t
p
r
esen
t
i
n
all
p
h
one
s
th
at
ar
e
u
n
d
er
u
s
e
an
d
i
n
cr
ea
s
es
th
e
b
atter
y
co
n
s
u
m
p
tio
n
.
H
u
ll
et
al.
[
4
]
p
r
o
p
o
s
ed
a
d
is
tr
ib
u
ted
m
o
b
ile
s
en
s
o
r
co
m
p
u
tin
g
s
y
s
te
m
,
w
h
ic
h
r
ec
o
r
d
s
t
h
e
d
at
a
co
llected
b
y
t
h
e
s
e
n
s
o
r
s
t
h
at
ar
e
in
s
talled
o
n
t
h
e
v
e
h
icle.
T
h
e
s
e
n
s
o
r
s
li
k
e
ca
m
er
a,
GP
S,
B
lu
eto
o
th
an
d
w
i
f
i
ar
e
u
s
ed
f
o
r
co
llectin
g
d
ata
d
u
r
in
g
a
tr
av
el
b
y
th
e
v
e
h
icle.
T
h
e
co
llected
d
ata
is
u
s
ed
o
n
ly
f
o
r
r
o
u
te
p
lan
n
i
n
g
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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A
n
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r
ly
Dete
ctio
n
-
W
a
r
n
in
g
S
ystem
to
I
d
en
tify S
p
ee
d
B
r
ea
ke
r
s
a
n
d
….
(
V
a
msee
K
r
i
s
h
n
a
K
ir
a
n
M
)
1379
an
d
to
ca
lc
u
late
t
h
e
ti
m
e
ta
k
en
to
tr
a
v
el.
T
h
is
ap
p
licatio
n
d
o
es
n
o
t
d
etec
t
an
y
b
ad
r
o
ad
o
r
s
p
ee
d
b
r
ea
k
er
d
u
r
in
g
th
e
tr
a
v
el.
P
.
Mo
h
an
e
t
al.
,
[
5
]
p
r
o
p
o
s
ed
a
s
y
s
te
m
f
o
r
d
etec
tin
g
s
p
ee
d
b
r
ea
k
er
s
an
d
b
r
ea
k
in
g
ev
e
n
ts
i
n
w
h
ic
h
th
e
p
o
th
o
les
an
d
s
p
ee
d
b
r
ea
k
er
s
a
r
e
n
o
t
d
if
f
er
e
n
tiated
.
Mic
r
o
s
o
f
t
R
es
ea
r
c
h
I
n
d
ia
d
ev
elo
p
ed
T
r
af
f
ic
Se
n
s
e
u
s
in
g
W
in
d
o
w
s
Mo
b
ile
OS
p
o
w
er
e
d
S
m
ar
tp
h
o
n
e
a
s
h
ar
d
w
ar
e/so
f
t
w
ar
e
p
latf
o
r
m
w
it
h
an
ar
r
a
y
o
f
ac
ce
ler
o
m
eter
(
s
a
m
p
li
n
g
r
ate
3
1
0
Hz)
,
an
d
GP
S.
T
h
eir
alg
o
r
ith
m
s
ar
e
b
ased
o
n
th
e
s
i
m
p
le
th
r
es
h
o
ld
a
p
p
r
o
ac
h
z
-
s
u
s
(
f
o
r
s
p
ee
d
s
<2
5
k
m
/h
)
a
n
d
z
-
p
ea
k
(
f
o
r
s
p
ee
d
s
≥
2
5
k
m
/h
)
.
T
h
e
y
al
s
o
u
s
ed
v
ir
tu
al
r
e
-
o
r
ien
t
atio
n
to
ad
j
u
s
t
th
e
o
r
ien
tatio
n
o
f
t
h
e
S
m
ar
tp
h
o
n
e
d
u
r
in
g
d
r
iv
i
n
g
.
T
h
e
o
v
er
all
c
o
m
p
le
x
it
y
an
d
b
atter
y
co
n
s
u
m
p
tio
n
is
i
n
cr
ea
s
ed
b
ec
au
s
e
o
f
t
h
e
r
eq
u
ir
e
m
e
n
t o
f
GP
S f
o
r
r
eo
r
ien
tatio
n
.
T
h
e
r
eo
r
ien
tatio
n
co
m
p
lex
i
t
y
i
s
av
o
id
ed
b
y
u
s
i
n
g
m
o
b
ile
p
h
o
n
e
cr
o
w
d
s
o
u
r
cin
g
b
ased
p
o
th
o
le
d
etec
tio
n
alg
o
r
it
h
m
d
e
v
elo
p
ed
b
y
J
.
E
r
ik
s
s
o
n
et
al
[
6
].
Me
d
n
is
et
al.
,
[
7
]
d
ev
elo
p
e
d
a
n
an
d
r
o
id
b
ased
OS
s
y
s
te
m
f
o
r
S
m
ar
tp
h
o
n
e
is
h
a
v
in
g
an
ac
c
eler
o
m
e
ter
s
en
s
o
r
f
o
r
th
e
d
etec
tio
n
o
f
p
o
t
h
o
le
in
r
ea
l
ti
m
e
en
v
ir
o
n
m
en
t.
T
h
e
co
llectio
n
o
f
d
ata
in
th
e
s
y
s
te
m
i
s
d
o
n
e
f
o
r
o
f
f
li
n
e
p
o
s
t
p
r
o
ce
s
s
in
g
an
d
it
d
etec
ts
th
e
r
ea
l
ti
m
e
e
v
en
t.3
-
ax
is
ac
ce
ler
o
m
eter
s
e
n
s
o
r
wh
ich
i
s
av
ai
lab
le
in
S
m
ar
tp
h
o
n
e
i
s
u
s
ed
to
co
llect
th
e
d
ata.
Fo
r
t
h
e
d
etec
tio
n
o
f
p
o
th
o
les
i
n
r
ea
l
ti
m
e
e
n
v
ir
o
n
m
en
t
t
h
e
f
ir
s
t
t
w
o
alg
o
r
ith
m
s
(
Z
-
T
HR
E
SH
a
n
d
Z
-
DI
FF
)
ar
e
u
s
ed
a
n
d
th
e
n
e
x
t
t
w
o
alg
o
r
it
h
m
s
(
ST
DE
V
(
Z
)
an
d
G
-
Z
E
R
O)
ar
e
u
s
ed
f
o
r
o
f
f
li
n
e
p
o
s
t
p
r
o
ce
s
s
in
g
o
f
d
ata.
T
h
e
an
al
y
s
i
s
o
f
t
u
p
le
w
it
h
o
u
t
t
h
e
i
n
f
o
r
m
atio
n
ab
o
u
t
th
e
p
o
s
itio
n
o
f
z
-
ax
is
i
s
d
o
n
e
b
y
G
-
0
al
g
o
r
ith
m
.
T
h
is
p
r
o
p
o
s
ed
s
y
s
te
m
g
i
v
es a
tr
u
e
p
o
s
itiv
e
r
es
u
lt o
f
9
0
%.
R
.
R
a
m
a
n
at
h
a
n
et
al.
,
[
8
]
p
r
o
p
o
s
ed
E
n
g
lis
h
f
o
n
t
r
ec
o
g
n
it
io
n
s
y
s
te
m
b
ased
o
n
a
s
u
p
p
o
r
t
v
ec
to
r
m
ac
h
in
e
al
g
o
r
ith
m
.
I
n
t
h
is
ap
p
r
o
ac
h
th
e
E
n
g
lis
h
tex
t
w
a
s
t
ak
en
as
an
i
m
ag
e
a
n
d
it
w
as
class
i
f
ied
b
ased
o
n
alr
ea
d
y
tr
ain
ed
i
m
a
g
es
o
f
E
n
g
lis
h
f
o
n
ts
.
Si
x
f
r
eq
u
e
n
tl
y
u
s
ed
E
n
g
lis
h
f
o
n
ts
ar
e
u
s
ed
f
o
r
tr
a
in
i
n
g
an
d
t
h
e
SVM
class
i
f
icatio
n
o
f
th
o
s
e
f
o
n
ts
p
r
o
v
id
es
th
e
ac
cu
r
ac
y
o
f
9
5
%.
T
h
e
SVM
class
i
f
ier
is
u
s
ed
f
o
r
class
if
icatio
n
o
f
s
p
ee
d
b
r
ea
k
er
w
ith
b
ad
r
o
ad
s
.
Sin
g
h
et
al.
,
[
9
]
p
r
o
p
o
s
ed
a
m
o
b
ile
p
h
o
n
e
ap
p
licatio
n
t
h
at
u
s
es
GP
S,
ac
ce
ler
o
m
eter
a
n
d
m
icr
o
p
h
o
n
e
to
co
llect
th
e
d
ata.
T
h
is
ap
p
licatio
n
d
etec
ts
r
o
ad
an
d
tr
af
f
ic
co
n
d
itio
n
s
a
lo
n
g
w
it
h
d
r
iv
in
g
b
e
h
av
io
r
.
T
h
is
ap
p
licatio
n
is
u
s
ed
to
d
etec
t
v
ar
io
u
s
ev
e
n
ts
b
ased
u
p
o
n
t
h
e
p
atter
n
s
o
b
s
er
v
ed
.
T
h
is
ap
p
licatio
n
d
o
es
n
o
t
u
s
e
m
ac
h
in
e
lear
n
i
n
g
.
I
t is
co
m
p
le
tel
y
b
ased
u
p
o
n
t
h
e
p
atter
n
s
o
b
tain
ed
f
r
o
m
t
h
e
s
e
n
s
o
r
d
ata.
R
esear
ch
er
s
f
r
o
m
U
n
i
v
er
s
it
y
o
f
J
y
v
as
k
y
la
[
1
0
]
d
esig
n
ed
an
o
f
f
lin
e
d
ata
m
i
n
in
g
tec
h
n
iq
u
e
f
o
r
p
o
th
o
le
d
etec
tio
n
.
T
h
ey
p
r
e
-
p
r
o
ce
s
s
ed
r
a
w
d
ata
co
llected
b
y
ac
ce
ler
o
m
eter
u
s
in
g
b
an
d
-
p
ass
f
i
lter
s
,
f
u
r
t
h
er
th
e
y
u
s
ed
t
h
e
f
ea
tu
r
e
d
etec
tio
n
al
g
o
r
ith
m
s
s
u
ch
as
m
ea
n
,
p
ea
k
-
to
p
ea
k
r
atio
,
s
ta
n
d
ar
d
d
ev
iatio
n
,
r
o
o
t
m
ea
n
s
q
u
ar
e,
v
ar
ia
n
ce
w
a
v
elet
p
ac
k
et
d
ec
o
m
p
o
s
itio
n
a
n
d
p
o
w
er
s
p
ec
tr
u
m
d
en
s
it
y
.
F
u
r
t
h
er
to
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ed
u
ce
th
e
f
ea
tu
r
e
s
b
ac
k
w
ar
d
a
n
d
f
o
r
w
ar
d
s
elec
ti
o
n
an
d
g
e
n
etic
al
g
o
r
ith
m
s
wer
e
u
s
ed
.
A
lt
h
o
u
g
h
t
h
is
ap
p
r
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ac
h
s
h
o
w
s
a
g
o
o
d
p
er
f
o
r
m
a
n
ce
i
n
d
etec
ti
n
g
th
e
p
o
th
o
les
b
u
t
t
h
is
is
to
o
co
m
p
lex
to
b
e
i
m
p
le
m
en
ted
o
v
er
s
m
al
l
d
ev
ices
li
k
e
S
m
ar
tp
h
o
n
e
b
ec
au
s
e
o
f
less
p
r
o
ce
s
s
in
g
p
o
w
er
a
n
d
s
m
a
ll
m
e
m
o
r
y
s
ize.
3.
P
RO
P
O
SE
D
ARCH
I
T
E
CT
URE
T
h
e
p
r
o
p
o
s
ed
s
y
s
te
m
is
a
n
a
n
d
r
o
id
s
er
v
ice
th
at
s
tar
t
s
i
n
t
h
e
b
ac
k
g
r
o
u
n
d
w
h
en
th
e
u
s
er
is
u
s
i
n
g
t
h
e
Go
o
g
le
m
ap
s
.
T
h
e
s
y
s
te
m
f
etc
h
es
t
h
e
d
etails
i.e
.
latit
u
d
e
an
d
lo
n
g
it
u
d
e
d
a
ta
o
f
all
th
e
s
p
ee
d
b
r
ea
k
er
s
an
d
b
ad
r
o
ad
s
w
it
h
i
n
a
r
ad
iu
s
o
f
2
0
k
m
s
f
r
o
m
t
h
e
c
u
r
r
en
t
u
s
er
p
o
s
it
io
n
.
I
n
it
iall
y
t
h
e
d
atab
ase
if
e
m
p
t
y
,
it
i
s
p
o
p
u
lated
w
h
e
n
d
if
f
er
en
t
u
s
er
s
ar
e
r
ep
o
r
tin
g
ab
o
u
t
t
h
e
s
p
ee
d
b
r
ea
k
er
s
.
T
h
e
p
r
o
p
o
s
ed
s
y
s
te
m
is
d
esi
g
n
ed
in
s
u
c
h
a
w
a
y
th
at
it
d
o
es
n
’
t
r
eq
u
ir
e
an
y
h
u
m
an
in
ter
v
e
n
tio
n
i
n
r
ep
o
r
tin
g
s
er
v
er
ab
o
u
t
th
e
s
p
ee
d
b
r
ea
k
er
s
.
W
h
en
a
u
s
er
i
s
co
m
in
g
ac
r
o
s
s
a
s
p
ee
d
b
r
ea
k
e
r
th
e
s
u
d
d
en
c
h
an
g
e
i
n
t
h
e
a
m
p
litu
d
e
o
f
ac
ce
ler
o
m
e
ter
d
ata
f
r
o
m
t
h
e
m
o
b
ile
is
n
o
ted
.
T
h
is
a
m
p
lit
u
d
e
d
ata
alo
n
g
w
i
th
lat
-
lo
n
g
d
ata
ar
e
s
en
t
to
th
e
s
er
v
er
.
A
s
w
e
ca
n
n
o
t
co
n
clu
d
e
o
n
class
i
f
y
in
g
s
p
ee
d
b
r
ea
k
er
an
d
b
ad
r
o
a
d
s
f
r
o
m
a
s
i
n
g
le
u
s
er
wh
ich
m
a
y
r
es
u
lt i
n
f
al
s
e
p
o
s
iti
v
es.
W
h
e
n
m
u
lt
ip
le
u
s
er
s
ar
e
r
ep
o
r
tin
g
th
e
ap
p
r
o
x
i
m
atel
y
s
a
m
e
a
m
p
lit
u
d
e
d
ata
n
ea
r
t
h
e
s
a
m
e
lat
-
lo
n
g
p
o
s
it
io
n
s
,
w
e
b
u
ild
a
tr
u
s
t
v
alu
e
b
ased
o
n
th
e
n
u
m
b
er
o
f
u
s
er
s
r
ep
o
r
tin
g
t
h
e
s
a
m
e
k
i
n
d
o
f
d
ata.
T
h
is
e
n
ab
les
u
s
to
p
o
p
u
late
th
e
d
ata
in
th
e
s
er
v
er
.
No
w
,
let
’
s
ex
a
m
i
n
e
th
e
ca
s
e
w
h
er
e
th
e
u
s
er
is
tr
av
elli
n
g
i
n
a
n
e
w
r
o
u
te.
W
h
en
h
e
s
tar
t
s
th
e
n
av
i
g
atio
n
o
n
Go
o
g
le
Ma
p
s
,
o
u
r
ap
p
licatio
n
r
u
n
s
i
n
t
h
e
b
ac
k
g
r
o
u
n
d
,
b
ased
o
n
h
is
c
u
r
r
en
t
l
o
ca
tio
n
,
th
e
s
y
s
te
m
f
etc
h
es
th
e
d
ata
f
r
o
m
t
h
e
s
er
v
er
.
T
h
is
d
ata
is
ab
o
u
t
t
h
e
s
p
ee
d
b
r
ea
k
er
s
an
d
b
ad
r
o
ad
s
i
s
f
e
tch
ed
f
o
r
ev
er
y
2
0
k
m
s
.
W
h
e
n
th
e
u
s
er
i
s
ap
p
r
o
a
ch
in
g
a
s
p
ee
d
b
r
ea
k
er
th
e
s
y
s
t
e
m
w
ill
s
h
o
w
h
i
m
an
aler
t
o
n
th
e
s
cr
ee
n
as
s
h
o
wn
in
F
ig
u
r
e
1
0
.
T
h
is
aler
t
is
s
h
o
w
n
ap
p
r
o
x
i
m
atel
y
2
0
0
m
e
ter
s
b
ef
o
r
e
th
e
ca
r
ap
p
r
o
ac
h
es
th
e
p
o
in
t,
g
iv
in
g
s
u
f
f
icie
n
t
ti
m
e
f
o
r
th
e
ca
r
to
s
lo
w
d
o
w
n
.
I
f
th
e
u
s
er
is
ap
p
r
o
ac
h
in
g
a
b
ad
r
o
a
d
,
an
aler
t
w
il
l
b
e
th
r
o
w
n
b
ef
o
r
e
h
e
ap
p
r
o
ac
h
es
t
h
e
r
o
ad
an
d
an
alter
n
ativ
e
r
o
u
te
w
il
l
b
e
s
u
g
g
ested
.
T
h
e
w
h
o
le
s
y
s
te
m
i
s
d
ep
icted
in
Fi
g
u
r
e
2
an
d
w
ill b
e
w
o
r
k
in
g
i
n
t
w
o
p
h
ases
as
f
o
llo
w
s
:
1.
W
h
en
t
h
e
ap
p
licatio
n
s
s
tar
t
s
,
th
e
s
er
v
er
p
u
s
h
e
s
th
e
d
ata
ab
o
u
t
th
e
cu
r
r
en
tl
y
lo
g
g
ed
m
ar
k
er
s
(
b
o
th
s
p
ee
d
b
r
ea
k
er
an
d
b
ad
r
o
ad
s
)
an
d
s
h
o
w
s
a
n
aler
t
w
h
e
n
th
e
u
s
er
is
ap
p
r
o
ac
h
in
g
th
e
m
ar
k
er
.
I
n
ca
s
e
o
f
a
b
ad
r
o
ad
it a
ls
o
s
u
g
g
est
s
an
alter
n
ate
r
o
u
te.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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2
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8
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3
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1380
2.
I
f
t
h
e
ca
r
h
a
s
e
n
co
u
n
ter
ed
a
n
e
w
s
p
ee
d
b
r
ea
k
er
o
r
a
b
ad
r
o
ad
w
h
ich
is
n
o
t
y
et
m
ar
k
ed
in
t
h
e
d
atab
ase,
a
p
p
licatio
n
p
u
s
h
e
s
th
at
n
e
w
d
ata
to
th
e
s
er
v
er
.
A
tr
u
s
t
v
alu
e
w
ill
b
e
b
u
ilt
w
h
en
m
u
l
tip
le
u
s
er
s
ar
e
r
ep
o
r
tin
g
s
a
m
e
d
ata.
Fo
r
a
p
ar
ticu
lar
latit
u
d
e
a
n
d
l
o
n
g
it
u
d
e
v
al
u
e,
m
an
y
u
s
er
s
m
a
y
p
r
o
v
id
e
t
h
e
i
n
f
o
r
m
atio
n
lik
e
it
i
s
s
p
ee
d
b
r
ea
k
er
o
r
a
b
ad
r
o
ad
.
T
h
e
tr
u
s
t
v
al
u
e
f
o
r
a
p
ar
ticu
lar
latitu
d
e
an
d
lo
n
g
it
u
d
e
v
al
u
e
is
ca
lcu
la
ted
b
ased
o
n
th
e
n
u
m
b
er
o
f
u
s
er
s
m
en
ti
o
n
it
as
s
p
ee
d
b
r
ea
k
er
/b
ad
r
o
a
d
.
T
h
e
attr
ib
u
te
w
h
ich
i
s
h
a
v
i
n
g
t
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u
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4.
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[
1
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ap
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Data
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T
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elate
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[
1
2
]
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p
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a
b
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ca
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d
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f
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to
a
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ase.
W
h
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v
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h
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in
a
p
ar
ticu
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r
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t
h
e
lat
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e
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n
d
lo
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g
it
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d
e
v
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lu
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s
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f
s
p
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b
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d
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to
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v
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d
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ase
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d
th
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s
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w
n
i
n
Fi
g
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r
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3
.
Fig
u
r
e3
.
Up
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atin
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t
h
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er
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atab
ase
w
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th
s
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d
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o
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n
W
h
en
t
h
e
ap
p
licatio
n
s
tar
ts
th
e
d
y
n
a
m
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d
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m
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T
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r
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en
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lo
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h
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g
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m
t
h
e
lo
ca
l
d
atab
ase.
W
h
en
a
v
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tr
a
v
els i
n
p
ar
ti
cu
lar
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o
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te,
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o
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all
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te
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I
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RE
F
E
R
E
NC
E
S
[1
]
Dig
h
e
S
, “
S
y
m
b
io
sis stu
d
e
n
t
k
il
led
in
m
ish
a
p
,”
Da
il
y
N
e
w
s an
d
A
n
a
l
y
sis,
03,
2
0
1
2
.
[2
]
Ov
e
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Evaluation Warning : The document was created with Spire.PDF for Python.