developing a 24-hr regional dta model for use in operations planning

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Developing a 24-Hr Regional DTA Model for Use in Operations Planning Lili (Leo) Luo, P.E., ITS & Safety Engineer Sarath Joshua, P.E., Ph.D., ITS & Safety Program Manager

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Developing a 24-Hr Regional DTA Model for Use in Operations Planning. Lili (Leo) Luo, P.E., ITS & Safety Engineer Sarath Joshua, P.E., Ph.D., ITS & Safety Program Manager. Project Background. Internal Testing of DynusT and Multi-Resolution Modeling Two Years Ago - PowerPoint PPT Presentation

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Page 1: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

Developing a 24-Hr Regional DTA Model for Use in Operations Planning

Lili (Leo) Luo, P.E., ITS & Safety EngineerSarath Joshua, P.E., Ph.D., ITS & Safety Program Manager

Page 2: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

14th TRB Planning Application Conference

Project Background

Internal Testing of DynusT and Multi-Resolution Modeling Two Years Ago

Develop a 24 hr Regional DynusT DTA Model

Page 3: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

14th TRB Planning Application Conference

MAG DynusT Model Network 11,200 Sq Miles # of links:

24869 # of nodes:

11550 # of signalized

intersections: 2933

# of zones: 2006 10+ Million Trips

Page 4: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

14th TRB Planning Application Conference

Initial Demand

Original Travel Demand Tables

NHTS Directional Departure Time Distribution by Trip Purpose

Page 5: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

14th TRB Planning Application Conference

Traffic Flow Models

Traffic Flow Models Freeway Major Arterial Minor Road

Page 6: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

14th TRB Planning Application Conference

Count Calibration

0 10000 20000 30000 40000 500000

5000

10000

15000

20000

25000

30000

35000

40000

45000

50000

f(x) = 0.916713966086467 x + 1123.35402521774R² = 0.869510967958088

f(x) = NaN x + NaNR² = 0 PM Counts

Ite 0 Linear (Ite 0)Ite 10 Linear (Ite 10)Ite 12 Linear (Ite 12)

0 10000 20000 30000 400000

5000

10000

15000

20000

25000

30000

35000

40000

45000

f(x) = 0.966360891732499 x + 341.233088560673R² = 0.943662587645319

f(x) = NaN x + NaNR² = 0 AM Counts

Ite 0 Linear (Ite 0)Ite 17 Linear (Ite 17)Ite 20 Linear (Ite 20)

Page 7: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

14th TRB Planning Application Conference

Convergence

Relative Gaps (20 iterations)

AM● 5.5%

PM● 8.1%

Page 8: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

14th TRB Planning Application Conference

Count Validation

0 500 1000 1500 2000 2500 3000 35000

500

1000

1500

2000

2500

3000

3500

4000

f(x) = 0.679071998526408 x + 434.181401471981R² = 0.496818029997129

AM Count Validation

AM Count ValidationLinear (AM Count Validation)

0 1000 2000 3000 40000

500

1000

1500

2000

2500

3000

f(x) = 0.620731604837489 x + 266.691864908805R² = 0.453986948461548

PM Count Validation

PM Count ValidationLinear (PM Count Validation)

Page 9: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

14th TRB Planning Application Conference

Bottleneck Validation

DynusT Bottleneck from 7:00AM-7:30AM MAG Bottleneck Study 2003 from 7:00AM-7:30AM

AM

Page 10: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

14th TRB Planning Application Conference

Bottleneck Validation

DynusT Bottleneck from 5:00PM-5:30PM MAG Bottleneck Study 2003 from 5:00PM-5:30PM

PM

Page 11: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

14th TRB Planning Application Conference

Travel Time Comparison

US60 to L202 L202 to US60 SH51 to L202 I-10 to SH51 I-17 to I-100.00

5.00

10.00

15.00

20.00

25.00

30.00

35.00

10.98

13.60

31.25

6.28

18.89

8.54

3.64

24.95

7.25

20.74

7:30AM-8:00AM

TT Survey Simulation

Page 12: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

14th TRB Planning Application Conference

Application of the Model Loop 101 Integrated Corridor

ManagementCity of Scottsdale

Loop 101

Page 13: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

14th TRB Planning Application Conference

The Original PlanS

CO

TTS

DA

L

E

HAY

DEN

PIM

A McKELLIPS

McDOWELL

THOMAS

INDIAN SCHOOL

CHAPARRAL

McDONALD

INDIAN BEND

VIA DE VENTURAMcCORMICK

DOUBLETREE

SHEA

CACTUS

THUNDERBIRD

GREENWAY

BELL

PINNACLE PEAK

92nd

96th

124t

h

136t

h

64th

101 FREEWAY

PIMA FWY / LOOP 101LOCAL INCIDENT DETOUR PLAN

Note: Scottsdale does not control any of the freeway interchange signals south of Indian Bend. In order to have better remote control of traffic exiting the freeway during an incident we would need communications to those signals.

FRANK LLOYD WRIGHT

SECTOR 1

SECTOR 2

SECTOR 3

STRATEGIC SECTOR #

SAMPLE INCIDENT LOCATION

POSSIBLE DETOUR ROUTES

D.M.S.LOCAL DYNAMIC MESSAGE SIGN

D.M.S.

D.M.S.

D.M.S.

D.M.S.

D.M.S.

D.M.S.

D.M.S.D.M.

S.D.M.

S.

D.M.S.

D.M.S.

D.M.S.

D.M.S.

D.M.S.

D.M.S.

D.M.S.

Page 14: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

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Performance

12 scenarios Each scenario includes the entire region 8 hr simulation period 30 minutes of model run 30 minutes of result loading

Page 15: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

14th TRB Planning Application Conference

Freeway Statistics

Upstream Flow

Page 16: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

14th TRB Planning Application Conference

Freeway Statistics Upstream Speed

Page 17: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

14th TRB Planning Application Conference

Freeway Statistics

Upstream Travel Time

Page 18: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

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Freeway Statistics

Unstable Speed Further Upstream

Page 19: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

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Freeway Statistics

6 Miles Upstream

Page 20: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

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Arterial Statistics Suggested Diversion Routes

Page 21: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

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Arterial StatisticsHayden NB Traffic Flow

Page 22: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

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Arterial statistics

VolumeTime Volume

3:15 160

3:30 167

3:45 172

4:00 155

4:15 220

4:30 377

4:45 494

5:00 540

5:15 520

………………. ……………………….

Street HaydenDirection NBLocation Between Princess Drive and Loop 101Link# 26525FromNode 10031ToNode 11122

Page 23: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

14th TRB Planning Application Conference

Arterial Statistics

Intersection Dir Movement 6:30 6:45 7:00 7:15 7:30 7:45 8:00 8:15 8:30 8:45 9:00

Pima&McDowell SB right 18 22 27 37 54 77 89 124 157 193 237

  SB left 37 54 62 79 91 114 133 161 197 244 287

  EB left 56 79 87 129 179 241 301 392 500 632 777

  EB through 150 220 269 355 462 567 680 834 1014 1180 1328

  WB right 42 64 92 111 151 209 255 334 409 491 608

  WB through  84 128 168 217 280 364 447 534 647 775 922

Turning Movement Counts

Page 24: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

14th TRB Planning Application Conference

RecommendationsS

CO

TTS

DA

LE

HAY

DE

N

PIM

A McKELLIPS

McDOWELL

THOMAS

INDIAN SCHOOL

CHAPARRAL

McDONALD

INDIAN BEND

VIA DE VENTURAMcCORMICK

DOUBLETREE

SHEA

CACTUS

THUNDERBIRD

GREENWAY

BELL

PINNACLE PEAK

92nd

96th

124t

h

136t

h

64th

101 FREEWAY

FRANK LLOYD WRIGHT

SECTOR 1

SECTOR 2

SECTOR 3

D.M.S.

D.M.S.

D.M.S.

D.M.S.

D.M.S.

D.M.S.

D.M.S.D.M.

S.D.M.

S.

D.M.S.

D.M.S.

D.M.S.

D.M.S.

D.M.S.

D.M.S.

D.M.S.

Page 25: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

14th TRB Planning Application Conference

Questions

Email: [email protected]: 602-452-5072

Email: [email protected]: 602-452-5031

Page 26: Developing a 24-Hr Regional DTA Model  for Use in Operations Planning

14th TRB Planning Application Conference