Year 2040 Long Range Transportation Plan Traffic Forecast ... · Welcome to the year 2040 traffic...
Transcript of Year 2040 Long Range Transportation Plan Traffic Forecast ... · Welcome to the year 2040 traffic...
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Pinellas County Metropolitan Planning Organization
Year 2040 Long Range Transportation Plan
Traffic Forecast and Level of Service Analysis
of Pinellas County
December, 2015
Pinellas County MPO Staff and
Technical Coordinating Committee
“The preparation of this report has been financed in part through grant [ s ] from the Federal High-way Administration and Federal Transit Administration, U.S. Department of Transportation, under the State Planning and Research Program, Section 505 [ or Metropolitan Planning Program, Section 104 ( f ) ] of Title 23, U.S. Code. The contents of this report do not necessarily reflect the official views or policy of the U.S. Department of Transportation.”
Of note, the traffic forecast and level of service measures published in this report are products de-rived from the Florida Standard Urban Transportation Modeling Structure (FSUTMS) and Long Range Transportation Plan (LRTP) Cost Feasible at the time of this December 2015 report. Email us for information of any amendments to the LRTP that may have affected the traffic forecast or level of service measures. [email protected]
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Pinellas County Metropolitan Planning Organization
Introduction At a public hearing in December 2014, the Pinellas County MPO acted to adopt a cost feasible Year 2040 Long Range Transportation Plan.
A multimodal cost feasible alternative was developed with input from the MPO committee structure and through the public involvement process. The cost feasible alternative was ultimately adopted by the MPO. Highway and transit networks representing the existing, committed and needed capacity improvements to roadways, and transit service expansion to new routes and transit modes were created during the Plan development process. Traffic demand tests were conducted to evaluate the traffic and ridership service demand benefits of the proposed improvements against the socioeconomic conditions, costs, and available revenue assumed for the planning horizon of 2040. The socioeconomic data forecasts used as input to run the traffic demand model were based on the land use categories of the Countywide Future Land Use Plan adopted by the Pinellas County Board of County Commissioner’s acting under their Charter responsibility as the Countywide Planning Authority. The end result of running the traffic demand model included the assignment of raw peak season daily traffic forecasts to each individual highway link represented in the assumed highway network for the year 2040, and peak season ridership forecasts for each transit network link for each route in the assumed transit network. As discussed below, those raw assignments required that adjustments be made, to more closely forecast future traffic and transit
Welcome to the year 2040 traffic forecast and level of service analysis of Pinellas
County’s major road network.
service demand. Purpose The information contained in the Appendix for the Year 2040 Annual Average Daily Traffic Forecast and Level of Service Analysis Report is to assist local governments within the MPO urban area to conduct transportation analysis and to fulfill the requirements of 23 C.F.R. 450.322(6)(f), which requires the Long Range Transportation Plan (LRTP) to include the projected demand of the transportation system over the period of the plan.
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Pinellas County Metropolitan Planning Organization
The forecasted traffic demand for the planning horizon of the Long Range Transportation Plan is obtained by using a transportation demand forecast model – Florida Standard Urban Transportation Modeling Structure (FSUTMS). On the highway side of the modeling process, the FSUTMS model is used to forecast future year traffic volume estimates using a validated model. This validation process compares the model output for the base year on major roadways, and corridors at screenlines to actual daily traffic counts that have been obtained in the field. The model validation stage is completed once consensus is reached that the model computations acceptably represent real world conditions for the overall model and not necessarily for each individual roadway. It is important to note that the model is evaluated on its ability to estimate travel demand on different types of roads with a reasonable error percentage and that higher volume roadways have a lower acceptable error rate than lower volume roads between the base year traffic count and the base year model estimate, as observed in the following table. This establishes reasonableness for the future year forecasts.
However, it should also be emphasized
that the anticipated error of future year model
forecasts is usually higher.
Section 1: Traffic Forecasts Smoothing Process
Suggested Maximum Deviation from Count to Model Estimate (For Base Year)
VOLUME RANGE
LOW RANGE
HIGH RANGE
<= 5000 45 55
5001 - 10000 35 45
10001 - 20000 27 35
20001 - 30000 24 27
30001 - 40000 22 24
40001 - 50000 20 22
50001 - 60000 18 20
60001 - 70000 17 18
70001 - 80000 16 17
80001 - 90000 15 16
90001 - 100000 14 15
> 100000 14 14
OVERALL 32 39
NOTE: As the base year volume increases the deviation from count to model year decreases.
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Section 1:
Traffic Forecasts Smoothing Process (Continued)
The forecasted traffic volumes from the travel
demand model must therefore be adjusted by
using procedures that have been sanctioned by
the Federal Highway Administration, and that are
known as standard smoothing techniques and
professional judgment. Highlights of these
smoothing techniques are:
Adjusted Model Volume – Since the FSUTMS model is a peak season model; the
model traffic forecasts are adjusted to an Average Annualized Daily Traffic (AADT)
equivalent. This is done using an FDOT provided adjustment factor called the Model
Output Conversion Factor (MOCF).
Difference Method – This method uses the difference between the validation year
traffic counts and the validation year model traffic volumes to adjust the future year
forecast. This method is also adjusted with the MOCF.
Ratio Method – This method uses the ratio of the validation year traffic counts to the
validation year model traffic volume to adjust the future year forecast. This method is
also adjusted with the MOCF.
Average Method – The average method takes the average of the results from the
difference method and the ratio method.
Growth Rate Method – By reviewing historical traffic counts along corridors,
annualized growth rates are determined. These growth rates are used and applied to
the validation year count volumes to forecast the expected growth.
Professional Judgment – when none of the previous methods generates a reasonable
volume forecast, or when further adjustment is required, professional judgment based
on historical land use development and redevelopment activity; existing and future land
use and knowledge of traffic operations along corridors is the smoothing procedure of
choice.
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Pinellas County Metropolitan Planning Organization
roadways and this was accomplished through
the MPO’s Technical Coordinating
Committee. At the end of this process there
was no significant overall difference between
the output of the Florida Standard Urban
Transportation Modeling Structure (FSUTMS)
and the final smoothed adjusted volumes.
The following is a brief description of the four
methods.
Section 1:
Traffic Forecasts Smoothing Process (Continued)
Of special importance is the knowledge
of traffic operations and constraints of
transportation infrastructure and services
that are based on the historical operation
of the adjacent street system in the
service area; functional classification; trip
origin and destination; location of trip
attractions, and historical traffic counts.
This smoothing process is particularly
useful in helping to compensate for the
inherent inaccuracy of the base year
model validation, and its direct impact on
raw traffic demand model outputs. For
that reason, the Florida Department of
Transportation dedicates significant
resources to develop design traffic by
processing model outputs for application
to roadway projects, and to other
refinements targeted to narrow the spread
of model inaccuracy.
To further improve the quality of the
forecasts, MPO staff coordinated the
review of draft documentation and
forecasts with local government and
FDOT staff. Their continuous participation
with MPO staff in the review and editing of
the year 2040 forecasts to refine the
smoothing procedures has been
invaluable. There were four methods used
to further smooth the traffic volumes on
roadway segments, facilities, and
corridors. These methods assist
professional judgment to find an
appropriate traffic volume for the
2040 MODEL AADT – Using Florida
Standard Urban Transportation Modeling
Structure.
BLEND – Reasonable AADT between
selected analysis years.
SPREADING – Continuing AADT from an
adjoining road segment or facility.
REVERTING – Using previous long range
plan smoothed adjusted volumes (2035).
GOVERNING LIMITS – Adjustments made
to reflect the transportation and land use
realities of the present day. Trips above or
below a governing cap may be reallocated
while maintaining the overall total number of
trips.
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Pinellas County Metropolitan Planning Organization
Section 1:
Traffic Forecasts Smoothing Process (Continued)
Travel demand forecasting is accomplished by
adjusting socioeconomic inputs to the model to
reflect the demographic (dwelling units, hotel/
motel units, population, employment, school
enrollment, special generators, etc.)
characteristics and distribution that are expected
to exist in the planning horizon of the Long
Range Transportation Plan.
During volume smoothing, forecast volumes are
increased or decreased based on the
relationship between the validation year model
volumes and validation year count volumes. If
the model validated low, then the forecast model
volumes are increased based on the ratio,
difference, or average of the ratio and difference
between the validation year model volumes and
validation year count volumes. Conversely, if the
model validated high, then the forecast model
volumes decrease, based on the applied
smoothing method.
Occasionally forecasted model traffic volumes are adjusted using other volume smoothing techniques. Where necessary, adjustments were made which included the following:
Changing the volume smoothing method.
Using professional judgment to forecast the
future year volume.
Electing to use a historical growth trend to forecast the future year volume.
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Pinellas County Metropolitan Planning Organization
It is important to note that the traffic volume forecasts created as part of the long range
transportation planning process through the Tampa Bay Regional Travel Demand Model are
primarily intended for planning use. A typical use of these forecasts would be to evaluate whether a
roadway would operate acceptably in the future with a given number of lanes or typical cross
section. The forecasts presented and the techniques used to develop them should be considered
“tools” in the transportation planning process and should not be inappropriately applied for other
purposes without an explicit understanding of the limitations that result from trying to forecast travel
demand twenty years into the future.
It should also be emphasized that on occasion, the travel demand model may forecast travel
demand on a given roadway that is actually less than existing observed traffic counts. This
phenomenon typically occurs for one of the following reasons:
Section 1:
Traffic Forecasts Smoothing Process (Continued)
An improvement is made to the transportation network that introduces a more
desirable travel route than the existing transportation network provides. This may
include improvements to parallel or crossing highway or transit facilities.
A reduction in the intensity of socioeconomic data within the study area due to
redevelopment and/or Future Land Use Plan amendments.
The creation of new activity centers or the intensification of select existing activity
centers that change the demand for travel from one location to another. For
example, the construction of a new regional mall would potentially result in a
decrease in travel demand to other malls, thus reducing travel demand on roadways
that provided access to the existing malls.
Intense congestion at a location that diverts travel to a different route. Note that the
congestion does not necessarily need to take place on the roadway segment with
the lower forecast.
Limitations of the model itself, particularly when attempting to forecast volumes on
low volume roadways. The model is also limited in that it is a macroscopic tool that
is used to forecast regional travel demand and is not designed to forecast volumes
on all roadways within the model with a high degree of precision and accuracy.
The forecast is within the acceptable Maximum Deviation from Count to Model
Estimate in the validation and this fact is reflected to a higher degree in the forecast
traffic volume.
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Pinellas County Metropolitan Planning Organization
Section 2:
Year 2040 Level of Service Analysis
Level of Service Determination
MPO staff used the same procedure and
software applied in the annual update of the
MPO Level of Service Report to produce an
estimate of roadway segments levels of service
for the planning horizon of the Long Range
Transportation Plan (the year 2040).
Using the smoothed adjusted year 2040 annual
average daily traffic forecasts generated from the
raw output of the traffic demand model, a year
2040 file was created in the Transportation
Inventory Management and Analysis System
(vTIMAS) relational database. The forecasts of
consecutive highway network links were
aggregated into facilities in the same fashion as
the aggregation of adjacent roadway segments
made for purposes of the annual level of service
report.
The existing signal locations in the year
2013 were maintained in the planning
horizon of 2040 for arterial roads other than
those with partially controlled access or
freeways, and for other functionally classified
roadways in the Long Range Transportation
Plan. Also the traffic signal types, signal
cycle lengths, green time to cycle length
ratio and other variables used for 2013
conditions were maintained in the 2040
evaluation. And the planning horizon year
2040 cost feasible improvements were
added to the major road network.
Default values estimated for the year 2013
conditions regarding the K100 factor (used to
adjust AADT to design/standard hourly
volume), the directional factor, and the peak
hour factor were used to calculate the PM
peak hour peak direction level of service
estimates from the final smoothed adjusted
traffic volumes. The software applied in the
vTIMAS database by the Pinellas County
MPO utilizes the Florida Department of
Transportation Quality Level of Service
(QLOS), 2009 Generalized Tables.
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Pinellas County Metropolitan Planning Organization
Section 2:
Level of Service Analysis (Continued)
Presentation of Results
The appendix of this report presents information on the operating conditions of the Pinellas County
major road network, with 2040 level of service maps and a facility report. Also included is a map
depicting the lane arrangements with cost feasible improvements added to the road network. The
facility road types are described in the appendix as follows: “U” is undivided, “D” is divided, “O” is
one-way, “E” is enhanced, “P” is partially controlled access, “F” is freeway, and “A” refers to a
divided facility with the availability of auxiliary lanes in both directions.
The jurisdictional responsibility to construct/reconstruct and maintain the roadways in the Appendix
to this report are depicted using the following abbreviations:
Abbreviation Jurisdiction Abbreviation Jurisdiction
BL Belleair CL Clearwater
CR County Road DN Dunedin
GP Gulfport LA Largo
OLD Oldsmar PP Pinellas Park
SH Safety Harbor SP St. Petersburg
SPB St. Pete Beach SR State Road
TI Treasure Island TS Tarpon Springs
NOTE: For more information of level of service methodology used for this report, please ask
for a copy of the Pinellas County MPO Annual Level of Service Report.
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Pinellas County Metropolitan Planning Organization
Contact Information
The Pinellas County Metropolitan Planning Organization 310 Court Street Clearwater, Florida 33756
Phone (727) 464-5649 Fax (727) 464-8201 Website: www.forwardpinellas.org Color hard copy available upon request.
American Disabilities Act Statement: Should an impaired user of this document have difficulty obtaining any part of the information, please contact our office and we will make it available in a alternative format.
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Pinellas County Metropolitan Planning Organization
APPENDIX
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Pinellas County Metropolitan Planning Organization
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Pinellas County Metropolitan Planning Organization
F
acili
ty L
evel
of
Ser
vice
Rep
ort
(P
inel
las
Co
un
ty F
orm
at)
(
PM
Pea
k H
ou
r D
irec
tio
nal
)
P
inel
las
Cou
nty
MP
O
20
40 L
OS
Ana
lysi
s w
ith C
ost F
easi
ble
Impr
ov. D
EC
. 201
5 -
AA
DT
40A
D, U
tiliz
ing
FD
OT
's 2
009
Gen
eral
Tab
le
NO
TE
:
Roa
dway
s in
clud
ed in
this
Inve
ntor
y ar
e m
onio
tore
d A
rter
ials
and
Col
lect
ors
as d
efin
ed in
the
MP
O's
Fun
ctio
nal C
lass
ifica
tion
map
. Le
vel o
f Ser
vice
has
bee
n ca
lcul
ated
usi
ng th
e cu
rren
t gui
delin
es o
f the
FD
OT
Qua
lity
Leve
l of S
ervi
ce, F
DO
T G
ener
aliz
ed T
able
s, F
DO
T A
rt P
lan,
and
Hig
hway
Cap
acity
Man
ual (
HC
M).
The
LO
S In
put v
alue
s sh
own
on t
his
repo
rt d
o no
t ful
ly r
epre
sent
val
ues
mai
ntai
ned
by th
e da
taba
se, p
leas
e do
not
at
tem
pt to
use
thes
e va
lues
to r
epro
duce
LO
S r
esul
ts.
A m
ore
com
plet
e lis
ting
of L
OS
inpu
t val
ues
and
assu
mpt
ions
is a
vaila
ble
, if n
eede
d pl
ease
req
uest
a c
opy
of th
e LO
S In
vent
ory
Sta
ff R
epor
t.
Fac
Typ
e:
"F
"=F
reew
ay, "
SA
"=S
igna
lized
Art
eria
l, "S
C"=
Sig
naliz
ed C
olle
ctor
, "S
MC
"=S
igna
lized
Col
leco
tor
(Maj
or),
"N
A"=
Non
-Sig
naliz
ed A
rter
ial,
"NC
"=N
on-S
igna
lized
Col
lect
or, "
NM
C"=
Non
-Sig
naliz
ed C
olle
ctor
(M
ajor
)
LO
S M
eth
: "
A"=
ApC
alc,
"H
"=C
once
ptua
l, "T
"=G
ener
aliz
ed T
able
s A
bb
revi
atio
ns:
"F
ac"=
Fac
ility
, "V
:Cap
"=V
olum
e to
Phy
sica
l Cap
acity
D
ef F
lag
: "1
"=V
/C R
atio
>=
.9 a
nd L
OS
=A
, LO
S=
B, L
OS
=C
or
LOS
=D
"2
"=V
/C R
atio
>=
.9 a
nd L
OS
=E
or
LOS
=F
Fac
ility
Ju
ris
Pla
n A
rea
F
ac
Typ
e
Roa
d T
ype
LOS
Std
Le
ngth
(m
i)
Sig
nals
P
er M
ile
LO
S
Met
h
AA
DT
Vol
ume
P
hysi
cal
Cap
acity
V:C
ap
Rat
io
Def
F
lag
F
ac
LOS
5
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3RD
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to-
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H S
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1,77
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1,
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1,
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16
Pinellas County Metropolitan Planning Organization
Fac
ility
Ju
ris
Pla
n A
rea
F
ac
Typ
e
Roa
d T
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LOS
Std
Le
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(m
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Sig
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P
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P
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84
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142
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143
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145
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160
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165
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17
Pinellas County Metropolitan Planning Organization
Fac
ility
Ju
ris
Pla
n A
rea
F
ac
Typ
e
Roa
d T
ype
LOS
Std
Le
ngth
(m
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Sig
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Met
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239
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18
Pinellas County Metropolitan Planning Organization
Fac
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Ju
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Pla
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F
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Typ
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Roa
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LOS
Std
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57
2
.465
0
B
1085
- U
S 1
9: (
GA
ND
Y B
LVD
-to
- M
AIN
LAN
DS
BLV
D)
SR
10
S
A
6D
D
1.
266
1.
58
T
65,6
00
3,
428
2,
940
1.
166
2
F
1086
- U
S 1
9: (
MA
INLA
ND
S B
LVD
-to
- B
RY
AN
DA
IRY
RD
| 11
8TH
AV
E N
) S
R
10
NA
6P
D
1.96
9
.00
T
74,5
70
3,
896
5,
650
.6
90
0
D
1087
- U
S 1
9: (
GA
ND
Y B
LVD
-to
- 54
TH
AV
E N
) S
R
10
SA
6D
D
1.06
5
4.69
T
69
,788
3,64
6
2,57
0
1.41
9 2
F
1088
- U
S 1
9: (
BR
YA
N D
AIR
Y R
D |
118T
H A
VE
N -
to-
E B
AY
DR
) S
R
08
NA
6P
D
2.86
0
.00
T
87,9
77
4,
597
5,
650
.8
14
0
D
1089
- U
S 1
9: (
54T
H A
VE
N -
to-
38T
H A
VE
N)
SR
14
S
A
6D
D
1.
252
.8
0
T
45
,300
2,36
7
2,94
0
.805
0
B
1090
- U
S 1
9: (
E B
AY
DR
-to
- G
ULF
-TO
-BA
Y B
LVD
) S
R
06
NA
6P
D
3.08
1
.00
T
98,9
77
5,
172
5,
650
.9
15
2
E
1091
- U
S 1
9: (
GU
LF-T
O-B
AY
BLV
D -
to-
SU
NS
ET
PO
INT
RD
) S
R
06
NA
6P
D
2.08
4
.00
T
109,
839
5,73
9
5,65
0
1.01
6 2
F
1092
- U
S 1
9: (
SU
NS
ET
PO
INT
RD
-to
- S
R 5
80 |
MA
IN S
T)
SR
06
N
A
6P
D
2.
134
.0
0
T
10
0,45
8
5,
249
5,
650
.9
29
2
E
1093
- U
S 1
9: (
SR
580
| M
AIN
ST
-to
- C
UR
LEW
RD
) S
R
06
NA
6P
D
2.03
5
.00
T
87,9
83
4,
597
5,
650
.8
14
0
D
1094
- U
S 1
9: (
CU
RLE
W R
D -
to-
TA
MP
A R
D)
SR
03
N
A
6P
D
1.
253
.0
0
T
90
,300
4,71
8
5,65
0
.835
0
D
1095
- U
S 1
9: (
TA
MP
A R
D -
to-
ALD
ER
MA
N R
D)
SR
03
N
A
6P
D
1.
818
.0
0
T
89
,400
4,67
1
5,65
0
.827
0
D
1096
- U
S 1
9: (
ALD
ER
MA
N R
D -
to-
KLO
ST
ER
MA
N R
D)
SR
03
N
A
6P
D
2.
026
.0
0
T
89
,400
4,67
1
5,65
0
.827
0
D
1097
- U
S 1
9: (
KLO
ST
ER
MA
N R
D -
to-
TA
RP
ON
AV
E)
SR
01
N
A
6P
D
1.
603
.0
0
T
89
,400
4,67
1
5,65
0
.827
0
D
1098
- U
S 1
9: (
TA
RP
ON
AV
E -
to-
BE
CK
ET
T W
AY
) S
R
01
SA
6D
D
1.41
7
1.41
T
90
,200
4,71
3
2,94
0
1.60
3 2
F
1099
- U
S 1
9: (
BE
CK
ET
T W
AY
-to
- P
AS
CO
CN
TY
LIN
E)
SR
01
N
A
6D
D
.4
38
.0
0
T
90
,200
4,71
3
5,65
0
.834
0
D
26
Pinellas County Metropolitan Planning Organization
Fac
Typ
e:
"F
"=F
reew
ay, "
SA
"=S
igna
lized
Art
eria
l, "S
C"=
Sig
naliz
ed C
olle
ctor
, "S
MC
"=S
igna
lized
Col
leco
tor
(Maj
or),
"N
A"=
Non
-Sig
naliz
ed A
rter
ial,
"NC
"=N
on-S
igna
lized
Col
lect
or, "
NM
C"=
Non
-Sig
naliz
ed C
olle
ctor
(M
ajor
)
L
OS
Met
h:
Ab
bre
viat
ion
s: "
Fac
"=F
acili
ty, "
V:C
ap"=
Vol
ume
to P
hysi
cal
Def
: "1
"=V
/C R
atio
>=
.9 a
nd L
OS
=A
, LO
S=
B, L
OS
=C
or
LOS
=D
"2
"=V
/C R
atio
>=
.9 a
nd L
OS
=E
or
LOS
=F
"A
"=A
pCal
c, "
H"=
Con
cept
ual,
"T"=
Gen
eral
Tab
les
Fac
ility
Ju
ris
Pla
n A
rea
F
ac
Typ
e
Roa
d T
ype
LOS
Std
Le
ngth
(m
i)
Sig
nals
P
er M
ile
LO
S
Met
h
AA
DT
Vol
ume
P
hysi
cal
Cap
acity
V:C
ap
Rat
io
Def
F
lag
F
ac
LOS
11
00 -
US
19
| 34T
H S
T N
: (C
EN
TR
AL
AV
E -
to-
5TH
AV
E N
) S
R
11
SA
6D
D
.435
4.60
T
43
,230
2,25
9
2,57
0
.879
0
D
1101
- U
S 1
9 | 3
4TH
ST
N: (
38T
H A
VE
N -
to-
22N
D A
VE
N)
SR
11
S
A
6D
D
1.
009
1.
98
T
44,4
99
2,
325
2,
940
.7
91
0
B
1102
- U
S 1
9 | 3
4TH
ST
N: (
5TH
AV
E N
-to
- 22
ND
AV
E N
) S
R
11
SA
6D
D
1.00
3
2.99
T
41
,824
2,18
5
2,83
0
.772
0
D
1104
- U
S 1
9 | 3
4TH
ST
S: (
54T
H A
VE
S -
to-
22N
D A
VE
S)
SR
11
S
A
6D
D
2.
011
2.
98
T
37,3
00
1,
949
2,
830
.6
89
0
C
1105
- U
S 1
9 | 3
4TH
ST
S: (
22N
D A
VE
S -
to-
CE
NT
RA
L A
VE
) S
R
11
SA
6D
D
1.55
9
3.85
T
40
,500
2,11
6
2,83
0
.748
0
D
1109
- V
IRG
INIA
AV
E S
: (H
ER
CU
LES
AV
E -
to-
KE
EN
E R
D)
CR
04
S
C
2U
D
.5
00
2.
00
T
3,00
0
157
55
9
.281
0
C
1110
- V
IRG
INIA
ST
: (H
IGH
LAN
D A
VE
-to
- K
EE
NE
RD
) C
R
04
SM
C
2U
D
1.
392
1.
44
T
8,99
1
470
57
2
.822
0
C
1111
- V
IRG
INIA
ST
: (K
EE
NE
RD
-to
- S
R 5
80)
DN
04
S
MC
2D
D
.700
1.43
T
13
,200
690
60
1
1.14
8 2
F
1113
- V
ON
N R
D: (
130
AV
E |
WIL
CO
X R
D -
to-
WA
LSIN
GH
AM
RD
) C
R
07
SC
2U
D
.751
1.33
T
6,
638
34
7
572
.6
07
0
C
1114
- V
ON
N R
D: (
WA
LSIN
GH
AM
RD
-to
- P
AR
K B
LVD
) C
R
09
SM
C
2U
D
2.
524
1.
19
T
11,2
03
58
5
572
1.
023
2
F
1117
- W
ALS
ING
HA
M R
D: (
ALT
19
| SE
MIN
OLE
BLV
D -
to-
113T
H S
T N
) C
R
09
SC
2U
D
.501
2.00
T
10
,331
540
55
9
.966
2
E
1119
- W
ALS
ING
HA
M R
D: (
113T
H S
T N
-to
- U
LME
RT
ON
RD
) C
R
09
SM
C
2U
D
1.
250
1.
60
T
10,3
31
54
0
572
.9
44
1
D
1121
- W
ES
T B
AY
DR
: (M
ISS
OU
RI A
VE
-to
- C
LWT
R-L
AR
GO
RD
) LA
07
S
A
4D
D
.5
35
3.
74
T
45,0
00
2,
351
1,
683
1.
397
2
F
1122
- W
ES
T B
AY
DR
: (C
LWT
R-L
AR
GO
RD
-to
- IN
DIA
N R
OC
KS
RD
) C
R
07
SA
4D
D
1.26
6
3.16
T
29
,358
1,53
4
1,68
3
.911
1
D
1130
- W
ILC
OX
RD
| 13
0TH
AV
E: (
ULM
ER
TO
N R
D -
to-
IND
IAN
RO
CK
S R
D)
CR
07
N
C
2U
D
1.
386
.0
0
T
6,
504
34
0
1,44
0
.236
0
B