District 10 Mobility Performance Report

2015 T hird Q uarter

DEPARTMENT OF TRANSPORTATION

October 14, 2015 : Jaime Q. Quesada

District 10 Mobility Performance Report

2015 Third Quarter

EXECUTIVE SUMMARY

Overview

Caltrans District 10 contains eight counties located within the Central Valley (San Joaquin /

Stanislaus / Merced) and the Sierra Nevada (Amador / Calaveras / Tuolumne / Mariposa /

Alpine). Over the years detection in Alpine and Calaveras Counties has been sparse, so the

District 10 Mobility Performance Report (MPR) no longer includes these two counties in the

quarterly or annual analysis.

The MPR quarterly analysis compares information in the current quarter to that of the previous

quarter and the quarter one year prior. The following are the performance measures reported in

the MPR:

• Vehicle Miles Traveled (VMT)

• Vehicle Hours of Delay (VHD)

• Lost Lane Miles (LLM)

o' • Detector Health (DH)

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This information is based on data collected every day of the quarter, twenty-four hours a day, by

automated vehicle detector stations deployed on urban-area freeways where congestion is

regularly experienced. The MPR presents congestion information at two speed thresholds: delay

from vehicles traveling below 35 miles per hour (mph), and delay from vehicles traveling below

60 mph. The delay at the 35 mph threshold represents severe congestion while delay at 60 mph

= oo

r "\represents all congestion, both light and heavy. These thresholds are set by Caltrans and are

based upon engineering experience and District input.

FINDINGS

In the third quarter, total delay equaled 67 thousand vehicle hours of delay (VHD) at the 35 mph

speed threshold, and 354 thousand VHD at the 60 mph threshold. The average weekday delay

experienced in this quarter was approximately 861 VHD at 35 mph, and 4,834 VHD at 60 mph.

Top Ten Bottlenecks for 2015 Quarter 3

# AVG. TOTAL TOTALFWY COUNTY LOCATION SHIFT ABS. PM CA PM DAYS

ACTVEEXTENT(MILES)

DELAY(VEH-HRS)

DURATION(MINS)

1205-W SJ E OF HANSEN RD AM 3.310 2.380 52 4.9 89233 7670SR99-S STA Maze Blvd PM 227.325 1G.290 39 3.3 4464 307015-N SJ N/0 French Camp Rd PM 463.140 R22.E48 52 0.4 1983 7140SR99-S STA N/0 Rte 219/Kieman Ave PM 233.625 22.590 7 4.3 1E00 490SR99-S STA Hammett Rd PM 235.307 24.272 22 3.2 1076 10E01205-E SJ E of Hansen Rd PM 3.310 2.380 4 4.9 1008 240SR99-S SJ Austin Rd PM 240.818 5.033 6 1.2 813 520SR4-W SJ E /0 I-5 PM 64.034 R1E.500 7 3.5 751 330SR99-S SJ N/0 On Ramp from Jack Tone Rd PM 237.SEE 2.081 11 0.9 624 755SR99-S SJ S/0 Rte 120 PM 241.202 5.417 19 0.5 394 1225

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M e a s u r e G r a p h P e r c e n ta g e C h a n g e

V e h ic le M ile s

o f T r a v e l

( V M I )

Mi2

os (Bilions)

2015 Q2 2015 Q3

1

0

2014 Q3 1.0

1.1 1.1Over one year ago

1 17.6%

Orer last quarter

O3.1%

OT o t.i l V e h ic le

H o u r s o f D e la y (\"H D >

a t 35 m p h

ijriou&afHJs)2015 Q2

131

50

0

2014 Q3 39

2015 Q 67

3

Over one year ago

■ 171%

Orer last quarter

*-49.4%

♦Average Nou-

Holitlay Weekday

Veliicle Hours of Delay (VHD)

at 35 mph

Hours2,500

2,000015 Q2 1,944

1,500

1.000

500

0

20 14 Q3567

?015Q3861

Over one year ago

■ 1 II51.8%

Orer last quarter

+ -55.7%

*Total V ehicle

Hours of Delay (VHD)

at 60 mph

(Thousands}2015 Q2

412 015 Q3 4002014 Q3 354

306300 -

200

100

0

Over one year ago

115.6%

Orer last quarter

*-14%

♦Average Nou-

Holitlay Weekday

Veliicle Hours of Delay n i D )

at 60 mph

HoursB.OOQ -|

2015 Q2 5.859

G.000 - 2015 Q32014 03 4.B24

4.2824.000 -

2.000 -

l !0 - 1Over one year ago

12.9%

Orer last quarter

*-17.5%

♦

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Measure Graph Percentage Change

Average Vehicle Hours

of Delay by Day of Week

at 60 mph

Hours

2D14Q3 2015 Q2

■ 2015 Q3

5.000 ”

4.000

3.000 ■■

2.000

1.000

1 J

| I - I. .u 1 1 , 1 1 ■ I I I I 1 I 1 1 ,

MOfl Tue wed Thu FjI Sat SuruHoJ

L a r g e s t M a g n itu d eD e c re a se o v e r o n e y e a r

ago

T u e s d a y

- i i . m|| ill1 L a r g e s t M a g n itu d e In c re a s e o v e r one y e a r

ago

Friday27.4%

L a rg e s t M a g n itu d eD ec rea se o v e r la s t

q u a r t e r

Thursday -48.3% ’

L a rg e s t M a g n itu d e In c re a s e o v e r la s t

q u a r t e r

F r i d a y

19.2%

Average Vehicle Hours

of Delay by Hour of Day

at 35 mph, Weekdays

Hours

(201WeaJcday {201

4 ;5 Q 2 |i

250-^ w a e K d a y (201 5 Q3 )

50/ I/

22230 1 2 3 4 5 S 7 9 10 1111l2 13 14 15 16 17 16 19 20 21 Hour of Day

L a rg e s t M a g n itu d e

Tl e e k d a y D e c re a se o r e r o n e y e a r ag o

6 A M

-81.1%

L a r g e s t M a g n itu d e W e e k d a y I n c re a s e o v e r

o n e y e a r ago

4 PMSI. 6%

L a rg e s t M a g n itu d e

W e e h d a y D ec rea se o v e r la s t q u a r t e r

3 PM -61.3%

L a rg e s t M a g n itu d e W e e k d a y In c re a s e o v e r

la s t q u a r t e r

1 FM 28.3%

AverageVehicle Hours

of Delay by Hour of Day

at 35 mph, Saturdays

Hours

SaturdaySaturday

(2 D 14 Q3 ] ■ (2015 Q2 ] 1

^^■Saturday (2015 Q3] A

30 ■-

/ \ m I

J i

5V /0 1 2 3 4 5 & 7 8 S 1011 12 1314151C 17 18 19 20 21 22 23

Haui of Day

L a r g e s t M a g n itu d e S a tu r d a y D e c re a se o v e r

o n e y e a r ago

10 AM -39.9%

L a rg e s t M a g n itu d e S a tu rd a y I n c re a s e o v e r

o n e y e a r ag o

HAM536%

L a rg e s t M a g n itu d e S a tu rd a y D ec rea se

o v e r la s t q u a r t e r

10 AM-85%

L a rg e s t M a g n itu d e S a tu rd a y In c re a s e o v e r

la s t q u a r t e r

11 AM336?%

H!! :

Average Vehicle Hours

of Delay by Hour of Dayat 35 mph, Sundays/Holidays

Hours.

Su nd a y/H o lid a y (2014 03 : SurwSay [Holiday (201 & <22 }

11 1 1 # \! l

n \ n

I i f '1 f I ■ /

j m \ \ ■LA1 2 3 4 5 1 7 B 10 11 12

Hour of D

13 14 IS 16 17 IS 1fl 20 21 22 23

L a rg e s t M a g n itu d e

o v e r o n e y e a r ago

L a rg e s t M a g n itu d eS u n . H o lid a y In c re a se

o v e r o n e y e a r ago

5 pmr m . m

L a rg e s t M a g n itu d e S un . H o lid a y D ec rea se

o v e r la s t q u a r t e r

9 PM-95.3%

L a rg e s t M a g n itu d e

S un . H o lid a y In c re a se o v e r l a s t q u a r t e r

2 PM 1214.7%

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M e a s u r e G r a p h P e r c e n t a g e C h a n g e

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H o r n s o f

D e l a y ( M I D )

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a t 3 5 m p h

H ours (T housands)

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60 -

■2014 0 31-U 1 -J ulx.

■2415 Q3

50 -

40 -

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20 - ■

10 - ■ 1

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L a rg e s t M a g n itu d eD e c re a se o v e r o n e y e a r

a SO

-

L a r g e s t M a g n itu d eIn c re a s e o v e r one r e a r

ago

S n u J o a q u i n

1 3 2 .4 %

L a rg e s t M a g n itu d eD ec rea se o v e r la s t

q u a r t e r

S t a n i s l a u s

- 6 6 .8 %

L a rg e s t M a g n itu d eIn c re a s e o r e r la s t

q u a r t e r

M K- M a r i p o s a

9 7 .9 %

A v e r a g e N o u -

H o l i d a y

W e e k d a y

E q u i v a l e n t

L o n L a n e

M i l e H o i m

a t 3 5 m p L

Miles

20 14 Q3 2015 Q2

■ 2015 Q3

2

0 1aw PeaK orr-Pean Day pm PeaK otT-Pean Nignt

|B A M :o-|0 AWJ) (10 AM to 3PM f (3 PM to 7 PM) [7 PM to 0 AMj

L a rg e s t M a g n itu d e D e c re a se o v e r o n e y e a r

ago

_1

L a r g e s t M a g n itu d e L ucres se o v e r one y e a r

ago

P M P e a k

7 7 .2 %

L a r g e s t M a g n itu d e D ec rea se o v e r la s t

q u a r t e r

A M P e a t

- 6 3 .2 %

L a rg e s t M a g n itu d e In c re a s e o v e r la s t

q u a r t e r

A v e r a g e

N u m b e r o f

G o o d a n d B a d

D e t e c t o r s

N u mber of Detectors

■j iwin _□Averaga of Good

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02014 33 2015 32 2015 33

C h a n g e in G o o d o v e r o n e y e a r ag o

C h a n g e in B a d o v e r o n e y e a r ago

C h a n g e in G o o d o v e r la s t q u a r t e r

C h a n g e in B a d o v e r la s t q u a r t e r

1 0 %

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Conge s tion br Route

Vehicle Hour.; of De lay Difrere nce Di'lfere nce a t 35moh 201 5 Gl3-2014 00 2015 03-2015 a 2 R.1.nk

Route Coun.hr 2014Q3 2015Q2 2015Q3 Absol ute :Pe rcen t.a.ire Absolute P erne nf.aj]e· 20U QJ 2015 Q2 2015 Q3 1205 S a n J"'-"n 1228U i 100481 .5 16i2765.6 150484. 1 1225% 59 284 57% 2 1 1

SR99• San J,,.-oin 73,2 1.g, 18300.8 24D9•1_Q, 16,TTO 229% 7.79·1 48% 3 4 2 SR99 s •~ms laus 2 13,25_9, 7 1546,.2 2 1'886,.5 3611.6 2% r,49 a6m -70 % 1 2 3 S R4 S an J"'-""'lin 6000.1 27976,. 1 78-18, 8, 1811!.7 30% (20. 157) -n% 4 3 4 1580 S a n J........;n 252:i.6, 19 15.a. 579,UI 3266.3 129% 3.876, 202% 5 ,g 5

S R152 Mereed 821.8 2340.7 40,,0,.3 3 Ul8 .5 388% 1.6,70 7 1% 8 8 6,

15 S a n J........;n 2273.6, 26i2.8,9 3960.2 161lc!.6 H% 1.331 5 1% 6 •8 7 15 St"'1iis laus 47.8, 5259,g, 3330,_2 3782.4 l9 13% 11.4.W) -27% 10 5 8,

SRQQ, Mereed 879.8, 23cl6,A 456..!l -422.7 -4!1% 11 .9·10) -81% 1 7 g,

SR49• Marioosa 183.Q, 95.a. 189'J6 5 .7 3% 94 93% g 10 ,a, 15 Mereed 0. 1 44.3 19'.7 19.6 198D0% 125) <6% 13 12 11

SR132 San Joaaliin 1.2 44_9, 1H 12.2 1017% (3,2) -70% 12 1 1 12 S R104 Amador 0 0 0 0 -SR101! Tuolumne 0 0 0 0 -SR12 S a n jn,, ,,. ,.n 0 0 0 0 -

SR120 S a n J~,.n 1.g, 0 0 -U ! -1·00% - 11 S R120 Tuolumne 0 0 0 0 -SR2 11! S-t,..., s laus 0 0 0 0 -

'FOT~US ~J liliS 2340 00 234US ]80,9'70 337.,.. li:l,5 0%

R104Amador: No delay detectedm:2014 Q3, 2015 Q2, and 2015 Q3 SR 108 Tuohmme: iNodelaydetec:ted in 2014 Q3, 2015 Q2., and 2015 Q3 SR 12 au Joaquin: o de1aydetectedin2014 Q3, 2015 Q2, and 2015 Q3

R 120 San Joaquin o de1ay detectedin 2015 Q2 and 2015 Q3 R 120 Tuohmme: iNodelaydetec:ted in 2014 Q3, 2015 Q2, and 2015 Q3

SR 219 Stanislaus: No delay detected m:2014 Q3, 2015 Q2, and 2015 Q3