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Review of traffic monitoring factor groupings and the determination of seasonal adjustment factors...
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Review of traffic monitoring factor groupings and the determination of seasonal adjustment factors for cars and trucks
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Review of traffic monitoring factor groupings and the determination of seasonal adjustment factors for cars and trucks
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Description
Title
Review
of
traffic
monitoring
factor
groupings
and the
determination
of
seasonal
adjustment
factors
for
cars
and
trucks
Subject
TE716.O3
A37
no
.
09-10
;
HE336.T7
S35
2009x
;
Traffic
monitoring--Ohio.
;
Traffic
surveys--Ohio.
;
OTP
1.23/7:2009-11
Description
Performed
by the
University
of
Akron
,
Dept
. of
Civil
Engineering.
; "
November
2009.
"; "
FHWA/OH-2009/10
[i.e
.
no
.
11]"--Technical
rept
.
documentation
p.
;
Includes
bibliographical
references
(p
.
173-177).
;
Technical
report;
;
Sponsored
by
Ohio
Dept
. of
Transportation
,
Office
of
Research
and
Development
, in
cooperation
with the
U.S
.
Dept
. of
Transportation
,
Federal
Highway
Administration
under
state
job
number
;
Harvested
from the
web
on
3/2/10
Creator
Schneider
,
William
H
.
Publisher
University
of
Akron
Dept
. of
Civil
Engineering
;
Available
through
the
National
Technical
Information
Service
Contributors
Tsapakis
,
Ioannis.
;
University
of
Akron
.
Dept
. of
Civil
Engineering.
;
Ohio
.
Dept
. of
Transportation
.
Office
of
Research
and
Development.
;
United
States
.
Federal
Highway
Administration
.
Type
Text
Language
eng
Relation
Also
available
online.
;
http://www.dot.state.oh.us/Divisions/TransSysDev/Research/reportsandplans/Reports/2009/Traffic/134369_FR.pdf;
http://worldcat.org/oclc/525285919/viewonline;
http://www.dot.state.oh.us/Divisions/TransSysDev/Research/reportsandplans/Reports/2009/Traffic/134369_ES.pdf
Description-Abstract
One
of the
most
common
traffic
volume
parameters
reported
by
statewide
traffic
monitoring
programs
is
annual
average
daily
traffic
(AADT)
.
Departments
of
Transportation
(DOT)
and
other
state
agencies
use
a
series
of
continuous
vehicle
detection
devices
in
association
with
smaller
more
mobile
short-term
counts
.
Once
the
short-term
counts
are
recorded
a
series
of
adjustment
factors
(time
of
day
,
day
of
week
,
month
of
year
, or
seasonal)
are
applied
to the
short-term
counts
. The
end
result
is
an
estimated
AADT
for a
particular
segment
of
roadway
.
Traditionally
, as
defined
in
section
two
of the
Traffic
Monitoring
Guide
(TMG)
, there are
three
methodologies
,
geographic/functional
assignment
of
roads
to
groups
,
cluster
analysis
and the
same
road
application
factor
. In
each
case
, there are
advantages
and
disadvantages
and
currently
there
is
not a
final
peer
reviewed
nationally
suggested
method
. The
benefits
associated
with this
research
include
an
improved
method
for
estimating
AADT
throughout
Ohio
.
Date-Issued
[2009]
Format-Extent
xxiv
,
177
p
. :
ill
. ;
28
cm
.
Format-Medium
Government
Publication
Coverage-Temporal
Jan
.
2008-Sep
.
2009
.
OCLC number
525285919
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