A l i Mi i l ti t l fA l i Mi i l ti t l fApplying Micro-simulation tools for Project Development-D t ti & QA/QC

Applying Micro-simulation tools for Project Development-D t ti & QA/QCDocumentation & QA/QCDocumentation & QA/QC

University of FloridaTraffic Seminar

University of FloridaTraffic Seminar

Jaimison Sloboden, PERS&H

Jaimison Sloboden, PERS&H

OverviewOverview

• Principles• Principles• Types of Projects• Correctly Scoping the Model

S ti l li it

• Types of Projects• Correctly Scoping the Model

S ti l li it– Spatial limits– Temporal limits– Budgeting the work

– Spatial limits– Temporal limits– Budgeting the work

• Maintaining Credibility in the Process– verifiable and reproducible– Documentation

• Maintaining Credibility in the Process– verifiable and reproducible– Documentation– Documentation

• QA/QC• 95 Express-Case Study

– Documentation

• QA/QC• 95 Express-Case Study95 Express Case Study95 Express Case Study

Traffic Engineering PrinciplesTraffic Engineering Principles

• Knowledge of Traffic Flow Theories• Knowledge of Traffic Flow Theories• Knowledge of the Right Tool for the Right

Job• Verifiable & Reproducible

• Knowledge of the Right Tool for the Right Job

• Verifiable & Reproducible• Verifiable & Reproducible• Strategic Use of Automation• “Pass the Dish”-Share your Ideas

• Verifiable & Reproducible• Strategic Use of Automation• “Pass the Dish”-Share your Ideas• Pass the Dish -Share your Ideas• Redundancy• Pass the Dish -Share your Ideas• Redundancy

Jaimie’s Nuggets of WisdomJaimie’s Nuggets of Wisdom

• “If you don’t have the time to do it right the first time when are you going to have the

• “If you don’t have the time to do it right the first time when are you going to have thefirst time, when are you going to have the time to do it over again?”

• Begin with the End in Mind

first time, when are you going to have the time to do it over again?”

• Begin with the End in Mindg• Verifiable and Reproducible• “Don’t do as I do, do as I say”

g• Verifiable and Reproducible• “Don’t do as I do, do as I say”yy

Definition of QualityDefinition of Quality

•Quality is never an accident•Quality is never an accident•Quality is never an accident, it is always the result of:

•Quality is never an accident, it is always the result of:–High Intentions–Sincere Effort–High Intentions–Sincere EffortSincere Effort–Intelligent Direction

Sincere Effort–Intelligent Direction–Skillful Execution–Skillful Execution

The ProblemThe Problem

• Spending in Highway construction is decliningAbilit t d Hi h i li it d f

• Spending in Highway construction is decliningAbilit t d Hi h i li it d f• Ability to expand Highways is limited for environmental and right-of-way constraints

• Vehicle Miles of Travel is growing

• Ability to expand Highways is limited for environmental and right-of-way constraints

• Vehicle Miles of Travel is growingVehicle Miles of Travel is growingVehicle Miles of Travel is growing

Practitioner Point of View: Types of ProjectsPractitioner Point of View: Types of ProjectsTypes of ProjectsTypes of Projects• Intersection studies

Addi it• Intersection studies

Addi it– Adding capacity– Changing intersection Control– Adding new intersections

– Adding capacity– Changing intersection Control– Adding new intersections

• Systems and Service Interchange Studies– Modifying existing Interchange Type

Adding new Interchanges

• Systems and Service Interchange Studies– Modifying existing Interchange Type

Adding new Interchanges– Adding new Interchanges

• Freeway Corridor Studies– Multiple Interchanges

– Adding new Interchanges

• Freeway Corridor Studies– Multiple Interchanges– Capacity Expansion– HOT lane Facilities– Capacity Expansion– HOT lane Facilities

Why Micro-simulation?Why Micro-simulation?

• HCM techniques do not directly address interaction between facilities

• HCM techniques do not directly address interaction between facilitiesinteraction between facilities

• Simulation models provide other meaningful performance measurements

interaction between facilities• Simulation models provide other meaningful

performance measurementsp– Travel time– VHT/ VMT

A i ti i V l bl C i ti T l

p– Travel time– VHT/ VMT

A i ti i V l bl C i ti T l• Animation is a Valuable Communication Tool• Animation is a Valuable Communication Tool

Traffic Analysis ToolsTraffic Analysis Tools

Microscopic

acy

Synchro Transyt 7f

Microscopic Simulation Tools

dA

ccur

a Highway Capacity Manual

Incr

ease

d

Generalized Tables

Increasing Effort & DATA

Microsimulation 7-step ProcessMicrosimulation 7-step ProcessMicrosimulation 7 step ProcessMicrosimulation 7 step Process

• 7-step process developed by FHWA T ffi A l i T l

• 7-step process developed by FHWA T ffi A l i T lTraffic Analysis Tools Team

• Based on best practices

Traffic Analysis Tools Team

• Based on best practicesBased on best practices of modeling efforts from around the countryF d ti f th FDOT

Based on best practices of modeling efforts from around the countryF d ti f th FDOT• Foundation of the FDOT CORSIM Handbook

• Foundation of the FDOT CORSIM Handbook

Correctly Scoping the Model Correctly Scoping the Model

• Model Limits-SpatialS ll P j t

• Model Limits-SpatialS ll P j t– Small Projects

– Large Projects– Congested Urban Areas

– Small Projects– Large Projects– Congested Urban Areas

• Model Limits-Temporal– Peak 15 minutes

Peak periods

• Model Limits-Temporal– Peak 15 minutes

Peak periods– Peak periods– Peak periods

Boundary Limits: Small ProjectsBoundary Limits: Small ProjectsSmall ProjectsSmall Projects

Boundary Limits: Congested UrbanBoundary Limits: Congested Urban

Boundary Condition

Congested Urban Freeway ProjectsCongested Urban Freeway Projects

Subject Interchange

Model Limits: TemporalModel Limits: TemporalI-95 Northbound Mainline SpeedI-95 Northbound Mainline SpeedI-95 Northbound Mainline Speed

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time of day

CredibilityCredibility

• Verifiable & ReproducibleD t ti D t ti D t ti

• Verifiable & ReproducibleD t ti D t ti D t ti– Documentation, Documentation Documentation

• Data Driven– Were Traffic Counts, speed studies and

– Documentation, Documentation Documentation

• Data Driven– Were Traffic Counts, speed studies andWere Traffic Counts, speed studies and

observations collected at the same time?

• TimelinessWill it t k t l t d li

Were Traffic Counts, speed studies and observations collected at the same time?

• TimelinessWill it t k t l t d li– Will it take a year to complete a modeling project?

• Cost Effective

– Will it take a year to complete a modeling project?

• Cost Effective– Will the budget to do a model be “reasonable”– Will the budget to do a model be “reasonable”

Which Model is Correct?Which Model is Correct?Which Model is Correct?Which Model is Correct?

They Both AreThey Both AreThey Both AreThey Both AreToo often, a Too often, a screen capture of the animation is

screen capture of the animation isanimation is all the evidence

animation is all the evidenceevidence provided for displaying the

evidence provided for displaying thedisplaying the model resultsdisplaying the model results

Model of 95 Express, Miami, Fl

Animation vs. MOE’sAnimation vs. MOE’s

• Animation is a tool that can be deceptive• Animation is a tool that can be deceptive• MOE’s should be output driven• MOE’s should be output driven

5151

60 60 59 46 23 10 16 28 48 47 47 48

51565152 5153 5154 5157 5158 2585155 2631292 261 262

60 60 59 46 23 10 16 28 48 47 47 4825 25 25 43 85 145 96 55 25 25 25 13C C C F F F F F C C C B

100 110 110 Exit to PNR119 vph

3069 3069 3069 3069 3069 3069 3069 3069 1193 1193 1193 11933074 3076 3066 3071 3062 3054 3053 3046 1186 1186 1186 1186

1508599 8599 8599

5594 6444 5760 5760 6872 6872 6723 6 8646 5 8653 6 86435693 6537 5909 5918 7015 7021 67884 5693 4 6537 4 5909 4 5918 4 7015 4 7021 4 6788 4 4 4

3 3 3 3 3 3 3 3 3 3 3

2 2 2 2 2 2 2 2 2 2 2

1 1 1 1 1 1 1 1 1 1 1

9 9 9

120 190 190 110 110Entry From Exit To Entry From Exit To Entry From Exit ToNW 125 St NW 135 St Opa Locka Blvd NW 151 St HOT Lane Turnpike

850 vph 684 vph 1112 vph 149 vph 1876 vph 3058 vph

1173 1098 1598 1129 1203 1525 103 1301 1119 5791173 1098 1598 1129 1203 1525 103 1301 1119 579

57 56 57 57 55 51 53 54 50 38

C C C C C C D D E F

23 22 24 24 24 26 30 32 37 52

150 156152 153 154 155 157 158 159 161 165

GGI B M d l E i ti C ditise

GGI Base Model- Existing Condition

How Do We Use Microsimulation Tools?How Do We Use Microsimulation Tools?

Base Model D l tBase Model D l tDevelopmentDevelopment

• Systematic Method• Documentation• Systematic Method• DocumentationDocumentation

requirements• Organization Criteria

Documentation requirements

• Organization Criteria– Link node numbering

conventions– Link node numbering

conventions

CalibrationCalibration

• Objective of CalibrationT hi d t li bilit lidit f

• Objective of CalibrationT hi d t li bilit lidit f– To achieve adequate reliability or validity of model by establishing suitable parameter values that replicated local traffic conditions.

C lib ti A h

– To achieve adequate reliability or validity of model by establishing suitable parameter values that replicated local traffic conditions.

C lib ti A h• Calibration Approach– It is a two-step process

• change the model parameters, run the model and check statistics If statistics are acceptable the model is

• Calibration Approach– It is a two-step process

• change the model parameters, run the model and check statistics If statistics are acceptable the model isstatistics. If statistics are acceptable, the model is calibrated.

• If not, modify the model until the statistics are acceptable– The approach consists of three steps

statistics. If statistics are acceptable, the model is calibrated.

• If not, modify the model until the statistics are acceptable– The approach consists of three stepspp p

• Modifying known global parameters• Modifying local or link length parameters• Global changes - unknowns

pp p• Modifying known global parameters• Modifying local or link length parameters• Global changes - unknowns

Model Run 1: BaseModel Run 1: BaseFrom To Node From

NodeTo

Receiv-ing Length Speed

Link Description Link Geometrics CarFollow-

ingFrom To Node From

NodeTo

Receiv-ing Length Speed

Link Description Link Geometrics CarFollow-

ing Model Run 1: BaseModel Run 1: BaseFrom To Node107 SB I-494 WB I-94/694 On Ramp 300 310 311 1028 65 100108 WB I-94/694 On Ramp 310 311 312 1604 65 100109 311 312 313 2021 65 100110 312 313 314 1917 65 100111 Bass Lake Road Off Ramp 313 314 315 1535 65 100112 Bass Lake Road Off Ramp 314 315 316 1289 65 100113 Bass Lake Road On Ramp 315 316 317 1368 65 100114 Bass Lake Road On Ramp 316 317 318 1399 65 100115 317 318 319 2076 65 100116 318 319 320 1495 65 100117 319 320 321 1719 65 100

FactorFrom To Node107 SB I-494 WB I-94/694 On Ramp 300 310 311 1028 65 100108 WB I-94/694 On Ramp 310 311 312 1604 65 100109 311 312 313 2021 65 100110 312 313 314 1917 65 100111 Bass Lake Road Off Ramp 313 314 315 1535 65 100112 Bass Lake Road Off Ramp 314 315 316 1289 65 100113 Bass Lake Road On Ramp 315 316 317 1368 65 100114 Bass Lake Road On Ramp 316 317 318 1399 65 100115 317 318 319 2076 65 100116 318 319 320 1495 65 100117 319 320 321 1719 65 100

Factor

### ###### ###

50

60

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80

### ###### ###

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60

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80

117 319 320 321 1719 65 100118 320 321 322 1570 65 100119 321 322 323 2113 65 100120 Rockford Road Off Ramp 322 323 324 1180 65 100121 Rockford Road Off Ramp 323 324 325 1077 65 100122 Rockford Road On Ramp 324 325 326 1015 65 100123 Rockford Road On Ramp 325 326 327 1447 65 100124 326 327 328 1547 65 100125 TH 55 Off Ramp 327 328 329 1341 65 100126 TH 55 Off Ramp 328 329 330 1199 65 100127 TH 55 On Ramp 329 330 331 1227 65 100128 TH 55 On Ramp 330 331 332 927 65 100

117 319 320 321 1719 65 100118 320 321 322 1570 65 100119 321 322 323 2113 65 100120 Rockford Road Off Ramp 322 323 324 1180 65 100121 Rockford Road Off Ramp 323 324 325 1077 65 100122 Rockford Road On Ramp 324 325 326 1015 65 100123 Rockford Road On Ramp 325 326 327 1447 65 100124 326 327 328 1547 65 100125 TH 55 Off Ramp 327 328 329 1341 65 100126 TH 55 Off Ramp 328 329 330 1199 65 100127 TH 55 On Ramp 329 330 331 1227 65 100128 TH 55 On Ramp 330 331 332 927 65 100

0

10

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1 2 3 4 5 6 7 8 9 10 11 12

334-335Actual (detected) SpeedSimulated Speed

0

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334-335Actual (detected) SpeedSimulated Speed

•Default Car Following Factors

129 331 332 333 1096 65 100130 County Road 6 Off Ramp 332 333 334 804 65 100131 County Road 6 Off Ramp 333 334 335 1244 65 100132 County Road 6 On Ramp 334 335 336 1176 65 100133 County Road 6 On Ramp 335 336 337 971 65 100134 Carlson Parkway Off Ramp 336 337 338 1022 65 100135 Carlson Parkway Off Ramp 337 338 339 1635 70 100136 Carlson Parkway On Ramp 338 339 340 1545 70 100137 Carlson Parkway On Ramp 339 340 341 747 70 100138 WB I-394 Off Ramp 340 341 342 771 70 100139 WB I-394 Off Ramp WB I-394 On Ramp 341 342 343 1291 70 100140 WB I-394 On Ramp EB I-394 Off Ramp 342 343 344 392 70 100U

THBO

UN

D I-

494

129 331 332 333 1096 65 100130 County Road 6 Off Ramp 332 333 334 804 65 100131 County Road 6 Off Ramp 333 334 335 1244 65 100132 County Road 6 On Ramp 334 335 336 1176 65 100133 County Road 6 On Ramp 335 336 337 971 65 100134 Carlson Parkway Off Ramp 336 337 338 1022 65 100135 Carlson Parkway Off Ramp 337 338 339 1635 70 100136 Carlson Parkway On Ramp 338 339 340 1545 70 100137 Carlson Parkway On Ramp 339 340 341 747 70 100138 WB I-394 Off Ramp 340 341 342 771 70 100139 WB I-394 Off Ramp WB I-394 On Ramp 341 342 343 1291 70 100140 WB I-394 On Ramp EB I-394 Off Ramp 342 343 344 392 70 100U

THBO

UN

D I-

494

30

40

50

60

70

30

40

50

60

70•Estimated Free Flow Speeds

140 WB I 394 On Ramp EB I 394 Off Ramp 342 343 344 392 70 100141 EB I-394 Off Ramp EB I-394 On Ramp 343 344 345 1117 70 100142 EB I-394 On Ramp 344 345 346 1508 70 100143 345 346 347 1500 70 100144 346 347 348 1499 70 100145 347 348 349 1100 70 100146 348 349 350 1501 70 100147 Minnetonka Blvd Off Ramp 349 350 360 1510 70 100148 Minnetonka Blvd Off Ramp Minnetonka Blvd On Ramp 350 360 361 975 70 100149 Minnetonka Blvd On Ramp 360 361 362 1670 70 100150 361 362 363 1755 70 100151 WB TH 7 Off Ramp 362 363 364 1502 70 100

SOU 140 WB I 394 On Ramp EB I 394 Off Ramp 342 343 344 392 70 100

141 EB I-394 Off Ramp EB I-394 On Ramp 343 344 345 1117 70 100142 EB I-394 On Ramp 344 345 346 1508 70 100143 345 346 347 1500 70 100144 346 347 348 1499 70 100145 347 348 349 1100 70 100146 348 349 350 1501 70 100147 Minnetonka Blvd Off Ramp 349 350 360 1510 70 100148 Minnetonka Blvd Off Ramp Minnetonka Blvd On Ramp 350 360 361 975 70 100149 Minnetonka Blvd On Ramp 360 361 362 1670 70 100150 361 362 363 1755 70 100151 WB TH 7 Off Ramp 362 363 364 1502 70 100

SOU

0

10

20

1 2 3 4 5 6 7 8 9 10 11 12

338-339Actual (detected) SpeedSimulated Speed

0

10

20

1 2 3 4 5 6 7 8 9 10 11 12

338-339Actual (detected) SpeedSimulated Speed

152 WB TH 7 Off Ramp WB TH 7 On Ramp 363 364 365 1310 70 100153 WB TH 7 On Ramp EB TH 7 Off Ramp 364 365 366 292 70 100154 EB TH 7 Off Ramp EB TH 7 On Ramp 365 366 367 1058 70 100155 EB TH 7 On Ramp 366 367 368 1474 70 100156 367 368 369 1465 70 100157 368 369 370 1487 70 100158 369 370 371 960 70 100159 370 371 372 1503 70 100160 371 372 373 1500 70 100161 TH 62 Off Ramp 372 373 374 1893 70 100162 TH 62 Off Ramp 373 374 375 1045 70 100163 TH 62 On Ramp 374 375 376 1045 70 100

152 WB TH 7 Off Ramp WB TH 7 On Ramp 363 364 365 1310 70 100153 WB TH 7 On Ramp EB TH 7 Off Ramp 364 365 366 292 70 100154 EB TH 7 Off Ramp EB TH 7 On Ramp 365 366 367 1058 70 100155 EB TH 7 On Ramp 366 367 368 1474 70 100156 367 368 369 1465 70 100157 368 369 370 1487 70 100158 369 370 371 960 70 100159 370 371 372 1503 70 100160 371 372 373 1500 70 100161 TH 62 Off Ramp 372 373 374 1893 70 100162 TH 62 Off Ramp 373 374 375 1045 70 100163 TH 62 On Ramp 374 375 376 1045 70 100 20

30

40

50

60

70

348-349Actual (detected) Speed20

30

40

50

60

70

348-349Actual (detected) Speed163 TH 62 On Ramp 374 375 376 1045 70 100

164 TH 62 On Ramp 375 376 377 975 70 100165 376 377 378 1505 70 100166 377 378 379 1071 70 100167 378 379 380 1120 70 100168 Valley View Road Off Ramp 379 380 381 1499 70 100169 Valley View Road Off Ramp SB I-494 380 381 8381 1566 70 100

163 TH 62 On Ramp 374 375 376 1045 70 100164 TH 62 On Ramp 375 376 377 975 70 100165 376 377 378 1505 70 100166 377 378 379 1071 70 100167 378 379 380 1120 70 100168 Valley View Road Off Ramp 379 380 381 1499 70 100169 Valley View Road Off Ramp SB I-494 380 381 8381 1566 70 100

0

10

1 2 3 4 5 6 7 8 9 10 11 12

Actual (detected) SpeedSimulated Speed

0

10

1 2 3 4 5 6 7 8 9 10 11 12

Actual (detected) SpeedSimulated Speed

Model Run 12Model Run 12Receiv-

Link Description Link Geometrics CarFollow-Receiv-

Link Description Link Geometrics CarFollow-

From To Node From

NodeTo

Receiv-ing

NodeLength Speed

176 SB I-494 WB I-94/694 On Ramp 300 310 311 1028 70 100177 WB I-94/694 On Ramp 310 311 312 1604 70 105178 311 312 313 2021 70 105179 312 313 314 1917 70 100180 Bass Lake Road Off Ramp 313 314 315 1535 70 100181 Bass Lake Road Off Ramp 314 315 316 1289 70 100182 Bass Lake Road On Ramp 315 316 317 1368 70 100183 Bass Lake Road On Ramp 316 317 318 1399 70 100184 317 318 319 2076 70 100

Following

FactorFrom To Node

From Node

To

Receiv-ing

NodeLength Speed

176 SB I-494 WB I-94/694 On Ramp 300 310 311 1028 70 100177 WB I-94/694 On Ramp 310 311 312 1604 70 105178 311 312 313 2021 70 105179 312 313 314 1917 70 100180 Bass Lake Road Off Ramp 313 314 315 1535 70 100181 Bass Lake Road Off Ramp 314 315 316 1289 70 100182 Bass Lake Road On Ramp 315 316 317 1368 70 100183 Bass Lake Road On Ramp 316 317 318 1399 70 100184 317 318 319 2076 70 100

Following

Factor### ### ###

30

40

50

60

70

80

### ### ###

30

40

50

60

70

80

185 318 319 320 1495 70 100186 319 320 321 1719 70 100187 320 321 322 1570 70 100188 321 322 323 2113 70 100189 Rockford Road Off Ramp 322 323 324 1180 70 100190 Rockford Road Off Ramp 323 324 325 1077 70 100191 Rockford Road On Ramp 324 325 326 1015 70 100192 Rockford Road On Ramp 325 326 327 1447 70 100193 326 327 328 1547 70 100194 TH 55 Off Ramp 327 328 329 1341 70 100195 TH 55 Off Ramp 328 329 330 1199 70 100196 TH 55 On Ramp 329 330 331 1227 70 100

185 318 319 320 1495 70 100186 319 320 321 1719 70 100187 320 321 322 1570 70 100188 321 322 323 2113 70 100189 Rockford Road Off Ramp 322 323 324 1180 70 100190 Rockford Road Off Ramp 323 324 325 1077 70 100191 Rockford Road On Ramp 324 325 326 1015 70 100192 Rockford Road On Ramp 325 326 327 1447 70 100193 326 327 328 1547 70 100194 TH 55 Off Ramp 327 328 329 1341 70 100195 TH 55 Off Ramp 328 329 330 1199 70 100196 TH 55 On Ramp 329 330 331 1227 70 100

0

10

20

30

1 2 3 4 5 6 7 8 9 10 11 12

334-335

Actual (detected)SpeedSimulated Speed

0

10

20

30

1 2 3 4 5 6 7 8 9 10 11 12

334-335

Actual (detected)SpeedSimulated Speed •Car Following

Factors modified196 TH 55 On Ramp 329 330 331 1227 70 100197 TH 55 On Ramp 330 331 332 927 70 100198 331 332 333 1096 70 100199 County Road 6 Off Ramp 332 333 334 804 70 100200 County Road 6 Off Ramp 333 334 335 1244 65 100201 County Road 6 On Ramp 334 335 336 1176 65 130202 County Road 6 On Ramp 335 336 337 971 65 130203 Carlson Parkway Off Ramp 336 337 338 1022 65 130204 Carlson Parkway Off Ramp 337 338 339 1635 65 130205 Carlson Parkway On Ramp 338 339 340 1545 65 130206 Carlson Parkway On Ramp 339 340 341 747 65 130207 WB I-394 Off Ramp 340 341 342 771 65 130O

UN

D I-

494

196 TH 55 On Ramp 329 330 331 1227 70 100197 TH 55 On Ramp 330 331 332 927 70 100198 331 332 333 1096 70 100199 County Road 6 Off Ramp 332 333 334 804 70 100200 County Road 6 Off Ramp 333 334 335 1244 65 100201 County Road 6 On Ramp 334 335 336 1176 65 130202 County Road 6 On Ramp 335 336 337 971 65 130203 Carlson Parkway Off Ramp 336 337 338 1022 65 130204 Carlson Parkway Off Ramp 337 338 339 1635 65 130205 Carlson Parkway On Ramp 338 339 340 1545 65 130206 Carlson Parkway On Ramp 339 340 341 747 65 130207 WB I-394 Off Ramp 340 341 342 771 65 130O

UN

D I-

494

30

40

50

60

70

30

40

50

60

70 •Free Flow Speeds modified

207 WB I 394 Off Ramp 340 341 342 771 65 130208 WB I-394 Off Ramp WB I-394 On Ramp 341 342 343 1291 65 130209 WB I-394 On Ramp EB I-394 Off Ramp 342 343 344 392 65 100210 EB I-394 Off Ramp EB I-394 On Ramp 343 344 345 1117 65 100211 EB I-394 On Ramp 344 345 346 1508 65 100212 345 346 347 1500 65 100213 346 347 348 1499 65 100214 347 348 349 1100 65 120215 348 349 350 1501 65 120216 Minnetonka Blvd Off Ramp 349 350 360 1510 70 120217 Minnetonka Blvd Off Ramp Minnetonka Blvd On Ramp 350 360 361 975 70 120218 Minnetonka Blvd On Ramp 360 361 362 1670 70 100

SO

UTH

BO

207 WB I 394 Off Ramp 340 341 342 771 65 130208 WB I-394 Off Ramp WB I-394 On Ramp 341 342 343 1291 65 130209 WB I-394 On Ramp EB I-394 Off Ramp 342 343 344 392 65 100210 EB I-394 Off Ramp EB I-394 On Ramp 343 344 345 1117 65 100211 EB I-394 On Ramp 344 345 346 1508 65 100212 345 346 347 1500 65 100213 346 347 348 1499 65 100214 347 348 349 1100 65 120215 348 349 350 1501 65 120216 Minnetonka Blvd Off Ramp 349 350 360 1510 70 120217 Minnetonka Blvd Off Ramp Minnetonka Blvd On Ramp 350 360 361 975 70 120218 Minnetonka Blvd On Ramp 360 361 362 1670 70 100

SO

UTH

BO

0

10

20

1 2 3 4 5 6 7 8 9 10 11 12

338-339Actual (detected) SpeedSimulated Speed

0

10

20

1 2 3 4 5 6 7 8 9 10 11 12

338-339Actual (detected) SpeedSimulated Speed

219 361 362 363 1755 70 100220 WB TH 7 Off Ramp 362 363 364 1502 70 100221 WB TH 7 Off Ramp WB TH 7 On Ramp 363 364 365 1310 70 100222 WB TH 7 On Ramp EB TH 7 Off Ramp 364 365 366 292 70 100223 EB TH 7 Off Ramp EB TH 7 On Ramp 365 366 367 1058 70 100224 EB TH 7 On Ramp 366 367 368 1474 70 100225 367 368 369 1465 70 100226 368 369 370 1487 70 100227 369 370 371 960 70 100228 370 371 372 1503 70 100229 371 372 373 1500 70 100230 TH 62 Off R 372 373 374 1893 70 100

219 361 362 363 1755 70 100220 WB TH 7 Off Ramp 362 363 364 1502 70 100221 WB TH 7 Off Ramp WB TH 7 On Ramp 363 364 365 1310 70 100222 WB TH 7 On Ramp EB TH 7 Off Ramp 364 365 366 292 70 100223 EB TH 7 Off Ramp EB TH 7 On Ramp 365 366 367 1058 70 100224 EB TH 7 On Ramp 366 367 368 1474 70 100225 367 368 369 1465 70 100226 368 369 370 1487 70 100227 369 370 371 960 70 100228 370 371 372 1503 70 100229 371 372 373 1500 70 100230 TH 62 Off R 372 373 374 1893 70 100

30

40

50

60

70

30

40

50

60

70

230 TH 62 Off Ramp 372 373 374 1893 70 100231 TH 62 Off Ramp 373 374 375 1045 70 100232 TH 62 On Ramp 374 375 376 1045 70 100233 TH 62 On Ramp 375 376 377 975 70 100234 376 377 378 1505 70 100235 377 378 379 1071 70 100236 378 379 380 1120 70 100237 Valley View Road Off Ramp 379 380 381 1499 70 100238 Valley View Road Off Ramp SB I-494 380 381 8381 1566 70 100

230 TH 62 Off Ramp 372 373 374 1893 70 100231 TH 62 Off Ramp 373 374 375 1045 70 100232 TH 62 On Ramp 374 375 376 1045 70 100233 TH 62 On Ramp 375 376 377 975 70 100234 376 377 378 1505 70 100235 377 378 379 1071 70 100236 378 379 380 1120 70 100237 Valley View Road Off Ramp 379 380 381 1499 70 100238 Valley View Road Off Ramp SB I-494 380 381 8381 1566 70 100

0

10

20

1 2 3 4 5 6 7 8 9 10 11 12

348-349Actual (detected) SpeedSimulated Speed

0

10

20

1 2 3 4 5 6 7 8 9 10 11 12

348-349Actual (detected) SpeedSimulated Speed

Carrying forward Calibration Parameters to Future DesignsCarrying forward Calibration Parameters to Future DesignsParameters to Future DesignsParameters to Future Designs

Error Checking – Model Review OverviewError Checking – Model Review OverviewOverviewOverview

• Two Parts• Two Parts– Modeler

Requirements– CDOT Reviewer

– Modeler Requirements

– CDOT ReviewerCDOT ReviewerCDOT Reviewer

ISO 9001ISO 9001

• What is ISO 9001?• ISO 9001:2008 is part of the ISO 9000 family of standards, and is the document that

lists the requirements an organization must comply with to become ISO 9001

• What is ISO 9001?• ISO 9001:2008 is part of the ISO 9000 family of standards, and is the document that

lists the requirements an organization must comply with to become ISO 9001lists the requirements an organization must comply with to become ISO 9001 Registered. ISO 9001 is an internationally recognized Quality Management System.

• ISO 9001:2008 is focused on meeting customer expectations and delivering customer satisfaction so you must pay attention to the customer.

• ISO9001 evaluates whether your quality management system is appropriate and effective while forcing you to identify and implement improvements

lists the requirements an organization must comply with to become ISO 9001 Registered. ISO 9001 is an internationally recognized Quality Management System.

• ISO 9001:2008 is focused on meeting customer expectations and delivering customer satisfaction so you must pay attention to the customer.

• ISO9001 evaluates whether your quality management system is appropriate and effective while forcing you to identify and implement improvementseffective, while forcing you to identify and implement improvements.

• Continuous improvement assures your customers benefit by receiving products/services that meet their requirement, and that you deliver consistent performance.

• Internally, the organization will profit from increased job satisfaction, improved morale, and improved operational results (reduced scrap and increased efficiency)

effective, while forcing you to identify and implement improvements. • Continuous improvement assures your customers benefit by receiving

products/services that meet their requirement, and that you deliver consistent performance.

• Internally, the organization will profit from increased job satisfaction, improved morale, and improved operational results (reduced scrap and increased efficiency)efficiency).

• Meeting legal and regulatory requirements benefit the community. efficiency).

• Meeting legal and regulatory requirements benefit the community.

Error Checking - Modeler RequirementsError Checking - Modeler RequirementsRequirementsRequirements• What is the Requirement of Modeler

I d d t i f d l h ld b• What is the Requirement of Modeler

I d d t i f d l h ld b– Independent review of models should be conducted prior to submittal to CDOT

• Error checking involves various reviews of

– Independent review of models should be conducted prior to submittal to CDOT

• Error checking involves various reviews of the coded network, coded demands, and default parameters

• The analyst should document the errors and

the coded network, coded demands, and default parameters

• The analyst should document the errors and• The analyst should document the errors and the approach and techniques used for resolving them

• The analyst should document the errors and the approach and techniques used for resolving them

Error Checking - Modeler RequirementsError Checking - Modeler RequirementsRequirementsRequirements• Error checking proceeds in three basic

stages:• Error checking proceeds in three basic

stages:stages:– Reviewing software errors– Reviewing input data

stages:– Reviewing software errors– Reviewing input data– Reviewing animation

• Modeler Required to document inputs for CDOT Review

– Reviewing animation

• Modeler Required to document inputs for CDOT ReviewCDOT ReviewCDOT Review

Error Checking - Modeler RequirementsError Checking - Modeler RequirementsRequirementsRequirements• Reviewing Software Errors

Sh ld th l t t i d “ t h” f• Reviewing Software Errors

Sh ld th l t t i d “ t h” f– Should use the latest version and “patch” of CORSIM

– Check the McTrans website for known problems, issues and updates of TSIS/CORSIM

– Should use the latest version and “patch” of CORSIM

– Check the McTrans website for known problems, issues and updates of TSIS/CORSIMissues, and updates of TSIS/CORSIM

(http://www-mctrans.ce.ufl.edu/)

issues, and updates of TSIS/CORSIM

(http://www-mctrans.ce.ufl.edu/)

Error Checking/QA-QC/Model ReviewError Checking/QA-QC/Model ReviewReviewReview• Reviewing Input Data

T k h l f th l t t d t t d t• Reviewing Input Data

T k h l f th l t t d t t d t– Take help from another analyst to detect data coding errors

– Data entry errors, eg. entering turn percentage 63% instead of 36% will have a huge impact on

– Take help from another analyst to detect data coding errors

– Data entry errors, eg. entering turn percentage 63% instead of 36% will have a huge impact on63% instead of 36% will have a huge impact on the outcome

– Changing the default values to represent actual travel conditions, eg. Different posted speed

63% instead of 36% will have a huge impact on the outcome

– Changing the default values to represent actual travel conditions, eg. Different posted speedtravel conditions, eg. Different posted speed values will have impact on level of servicetravel conditions, eg. Different posted speed values will have impact on level of service

Error Checking - Modeler RequirementsError Checking - Modeler RequirementsRequirementsRequirements• Reviewing “Freeway” Input Data

N d l ti d li k l th• Reviewing “Freeway” Input Data

N d l ti d li k l th– Node locations and link lengths– Accel/Decell lane lengths– Number of lanes and lane alignment

– Node locations and link lengths– Accel/Decell lane lengths– Number of lanes and lane alignment– Lane drops/lane adds– Ramp meter locations– Ramp meter timings

– Lane drops/lane adds– Ramp meter locations– Ramp meter timingsp g– Free flow speeds– Curvature – Grades

p g– Free flow speeds– Curvature – GradesGradesGrades

Error Checking - Modeler RequirementsError Checking - Modeler RequirementsRequirementsRequirements• Reviewing “Arterial” Input Data

Li k di t St b t St b• Reviewing “Arterial” Input Data

Li k di t St b t St b– Link distances, Stop bar to Stop bar– Lane utilization– Storage lane lengths

– Link distances, Stop bar to Stop bar– Lane utilization– Storage lane lengths– Free flow speeds– Signal timings

• Reviewing “Traffic volume” Input Data

– Free flow speeds– Signal timings

• Reviewing “Traffic volume” Input Data• Reviewing Traffic volume Input Data– Prepare volume database in spreadsheets for

easy review

• Reviewing Traffic volume Input Data– Prepare volume database in spreadsheets for

easy review

Error Checking/QA-QC/Model ReviewError Checking/QA-QC/Model ReviewReviewReview• Reviewing Animation

R th i ti t t l l d d• Reviewing Animation

R th i ti t t l l d d– Run the animation at extremely low demand• Trace unexpected slow down of vehicles• Uncharacteristic vehicle behavior such as unexpected

braking

– Run the animation at extremely low demand• Trace unexpected slow down of vehicles• Uncharacteristic vehicle behavior such as unexpected

brakingg– Run the animation 50% of the existing demand

level• Check for congestion, if occurs then it indicates coding

g– Run the animation 50% of the existing demand

level• Check for congestion, if occurs then it indicates coding

error• Check entry/exit links flows through the network

error• Check entry/exit links flows through the network

Error Checking - Modeler RequirementsError Checking - Modeler RequirementsRequirementsRequirements• Documentation

– QA/QC Sheets (display of geometry inputs)– Diagrams and schematics

Confirmation (QA) that Quality Control was conducted

• Documentation– QA/QC Sheets (display of geometry inputs)– Diagrams and schematics

Confirmation (QA) that Quality Control was conducted– Confirmation (QA) that Quality Control was conducted– Confirmation (QA) that Quality Control was conducted

Model Review - CDOTModel Review - CDOT

• Objectives?• Objectives?• Goals

– Ultimately our goal is to correctly analyze and evaluate projects that can move forward in the

• Goals– Ultimately our goal is to correctly analyze and

evaluate projects that can move forward in the planning, design, implementation, and operations phase.

• Discussion

planning, design, implementation, and operations phase.

• Discussion

Model Review – CDOTModel Review – CDOT• Expect that models are

turned in with accompanying d i

• Expect that models are turned in with accompanying d idocumentation

• Be systematic with Review Process

documentation• Be systematic with Review

Process– Standardized checklists– Reject inadequate model

submittals (Don’t waste your time!)

– Standardized checklists– Reject inadequate model

submittals (Don’t waste your time!)time!)

– Formally Accept and acknowledge good modeling efforts

time!)– Formally Accept and

acknowledge good modeling efforts

• Look for Common Mistakes• Look for Common Mistakes

Model Reviewer ChecklistModel Reviewer Checklist

Create a TSIS project folder on local hard drive, copy *.trf (CORSIM input files) into TSIS projects folderRun a single * trf file with animation activated

Create a TSIS project folder on local hard drive, copy *.trf (CORSIM input files) into TSIS projects folderRun a single * trf file with animation activatedRun a single *.trf file with animation activated.

If Fatal Errors are observed and the *.trf file does not run, contact the submitter and stop all reviews until a working file with the correct documentation is re-submitted.If the model runs go to next step

Review warning messages that are posted in the dialogue box, these

Run a single *.trf file with animation activated.If Fatal Errors are observed and the *.trf file does not run, contact the submitter and stop all reviews until a working file with the correct documentation is re-submitted.If the model runs go to next step

Review warning messages that are posted in the dialogue box, theseReview warning messages that are posted in the dialogue box, these will be green text. Warning Messages that require attention and corrective action include the following

Warning messages associated with warning signs being located beyond the start of the freewayThe model must reach equilibriumWarning messages that indicate vehicles are altering there intended path

Review warning messages that are posted in the dialogue box, these will be green text. Warning Messages that require attention and corrective action include the following

Warning messages associated with warning signs being located beyond the start of the freewayThe model must reach equilibriumWarning messages that indicate vehicles are altering there intended pathWarning messages that indicate vehicles are altering there intended path, e.g. they miss their destinationWarning messages indicating no agreement between the calculated link length and the input link length

Review Global Parameters in *.trf file. If these parameters are adjusted then look for corresponding documentation as to why those parameters

difi d

Warning messages that indicate vehicles are altering there intended path, e.g. they miss their destinationWarning messages indicating no agreement between the calculated link length and the input link length

Review Global Parameters in *.trf file. If these parameters are adjusted then look for corresponding documentation as to why those parameters

difi dwere modified.were modified.

Model Reviewer ChecklistModel Reviewer Checklist

Conduct Cursory Review of AnimationCompare model documentation of Geometry against the animationR i d i d t ffi l i t i t d l i ti di l

Conduct Cursory Review of AnimationCompare model documentation of Geometry against the animationR i d i d t ffi l i t i t d l i ti di lReview desired traffic volume inputs against model animation display of inputsReview signal timings in model against documentationObserve Animation, look for expected congestion, look for unexpected congestionIf gross error’s are observed stop all reviews provide information to

Review desired traffic volume inputs against model animation display of inputsReview signal timings in model against documentationObserve Animation, look for expected congestion, look for unexpected congestionIf gross error’s are observed stop all reviews provide information toIf gross error s are observed stop all reviews, provide information to submitter and continue with the review after the model and documentation is re-submitted.If there are no Gross Error’s continue review

Thorough Review of model inputsCompare lane schematic and link-node information against QA/QC

If gross error s are observed stop all reviews, provide information to submitter and continue with the review after the model and documentation is re-submitted.If there are no Gross Error’s continue review

Thorough Review of model inputsCompare lane schematic and link-node information against QA/QCCompare lane schematic and link-node information against QA/QC formsCompare Volume Databases against model inputsIf there are error’s in coding stop all reviews, provide information to submitter and continue with the review after the model and documentation is re-submitted.If th ti i

Compare lane schematic and link-node information against QA/QC formsCompare Volume Databases against model inputsIf there are error’s in coding stop all reviews, provide information to submitter and continue with the review after the model and documentation is re-submitted.If th ti iIf there no errors continue review.If there no errors continue review.

Model Reviewer ChecklistModel Reviewer Checklist

Review model outputsR i th i f d l t t

Review model outputsR i th i f d l t tReview the summaries of model outputs provided.Compare results to field observations (if the model is the calibrated model) Do the results

Review the summaries of model outputs provided.Compare results to field observations (if the model is the calibrated model) Do the resultsmodel is the calibrated model). Do the results make sense?Locations where the results are suspect examine the animation closer

model is the calibrated model). Do the results make sense?Locations where the results are suspect examine the animation closerthe animation closerIf there are model coding issues and/or issues with the performance of the model, inform the submitter of the issues and discuss a course of

the animation closerIf there are model coding issues and/or issues with the performance of the model, inform the submitter of the issues and discuss a course of action. When the issues are resolved move to the next step.

Model Approval

action. When the issues are resolved move to the next step.

Model Approval pppp

Model Reviewer – Most Common IssuesModel Reviewer – Most Common IssuesCommon IssuesCommon Issues1. Traffic Volume Inputs incorrect1. Traffic Volume Inputs incorrect2. Geometry Incorrect3. Traffic Data Incorrect. Look at RT 50’s2. Geometry Incorrect3. Traffic Data Incorrect. Look at RT 50’s4. Signal Timings incorrect or less than

optimal5 Traffic Patterns (volumes) do not seem

4. Signal Timings incorrect or less than optimal

5 Traffic Patterns (volumes) do not seem5. Traffic Patterns (volumes) do not seem right, look at O-D or conditional turning %’s

5. Traffic Patterns (volumes) do not seem right, look at O-D or conditional turning %’s

6. No congestion? Check volume inputs7. No congestion after checking volumes,

review model limits

6. No congestion? Check volume inputs7. No congestion after checking volumes,

review model limitsreview model limitsreview model limits

Verifying GeometryVerifying GeometryBlue dots are the model nodes, They do not match real world coordinates. Background image in TRAFED ff b 20%!TRAFED was off by 20%!

Model Reviewer – ExerciseModel Reviewer – Exercise

• Open up *.TRF files• Open up *.TRF files• Run models• Look at documentation• Run models• Look at documentation

95 Express95 Express95 Express95 Express

95 Express Spatial Limits95 Express Spatial LimitsTerminal Access

SegmentSegment (1/2 Mile)

Managed

Lane

Intermediate

Access System

(10 Miles)

Segment

(1/2 Mile)

Terminal Access

SegmentSegment (1/2 Mile)

Temporal Limits:Northbound Peak PeriodsTemporal Limits:Northbound Peak Periods

I-95 - NORTHBOUND DIRECTION

12000

15 Min Intervals-95 St15 Min Intervals-SR 112

I-95 - NORTHBOUND DIRECTION

12000

15 Min Intervals-95 St15 Min Intervals-SR 112

AM PEAK PERIOD PM PEAK

PERIOD

8000

10000

15 Min Intervals-62 St15 Min Intervals-79 St15 Min Intervals-103 St15 Min Intervals-125 St15 M in Intervals-151 St15 Min Intervals-6 St15 Min Intervals-Golden Glades15 Min Intervals-183

8000

10000

15 Min Intervals-62 St15 Min Intervals-79 St15 Min Intervals-103 St15 Min Intervals-125 St15 M in Intervals-151 St15 Min Intervals-6 St15 Min Intervals-Golden Glades15 Min Intervals-183

PERIOD

4000

6000

Flow

Rat

e (v

ph)

4000

6000

Flow

Rat

e (v

ph)

20002000

HOURLY TRAFFIC VOLUME VERSUS TIME OF DAYI-95 - NORTHBOUND DIRECTION

FIGURE

00.00 2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00

Time of Day

HOURLY TRAFFIC VOLUME VERSUS TIME OF DAYI-95 - NORTHBOUND DIRECTION

FIGURE

00.00 2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00

Time of Day

CalibrationCalibration • Iterative Process• Iterative ProcessIterative Process• Calibration Targets

– Less then 5% error in

Iterative Process• Calibration Targets

– Less then 5% error inEstablish Calibration

Measures of Effectiveness and Statistical Targets

[See Section 6.5]

Establish Known Global Parameters

[See Section 6 3]

Less then 5% error in volumes

– Approximate the speed profile

Less then 5% error in volumes

– Approximate the speed profile

Calibrate:Critical Congested Points

Key Bottlenecks[Freeways Section 6.3][Arterials Section 6.4]

[See Section 6.3]

Process Within Each Calibration Step

Field MOE’s Model MOE’s

speed profile– Replicate congestion

• Primary adjustments

speed profile– Replicate congestion

• Primary adjustmentsCalibrate:Traffic Volumes

Calibrate:System Performance

(Speeds)

Acceptable Match?

Go to Next

Adjust ModelParameters

No

Yes

• Primary adjustments– Car Following Factors

link level

• Primary adjustments– Car Following Factors

link level

Are All Calibration Targets Met?

No

Model is CalibratedYes

Calibration Step

– Warning Signs– Warning Signs

Speed CalibrationSpeed Calibration

Existing Base Model Operations: PM P k N thb dExisting Base Model Operations: PM P k N thb dPM Peak NorthboundPM Peak Northbound

Access JustificationAccess Justification

• Critical Design FeaturesE i ti f ti

• Critical Design FeaturesE i ti f ti– Existing freeway congestion

– Ingress/egress design– Proximity of service interchanges

– Existing freeway congestion – Ingress/egress design– Proximity of service interchanges

• Traffic Analysis Results – NB HOT intermediate access at NW 81st Street

• Traffic Analysis Results – NB HOT intermediate access at NW 81st Street

Traffic Analysis ResultsTraffic Analysis Results

81st Street Intermediate Access81st Street Intermediate Access

Northbound 81st Street Ingress/EgressNorthbound 81st Street Ingress/EgressIngress/EgressIngress/Egress

Proximity to Local AccessProximity to Local Access

I-95 Northbound

NW 81st St NW 95th St

• Interchange Spacing– 10 interchanges/8 miles = 1 ¼ mile– 81st on-ramp to HOT access 1,350 feet

• Interchange Spacing– 10 interchanges/8 miles = 1 ¼ mile– 81st on-ramp to HOT access 1,350 feet81 on ramp to HOT access 1,350 feet– Weaving lane length 770 feet– HOT access to 95th Street off-ramp 550 feet

81 on ramp to HOT access 1,350 feet– Weaving lane length 770 feet– HOT access to 95th Street off-ramp 550 feet

Operational ConsiderationOperational Consideration

Type A Weave

Type C Weave

NB HOT Access at 81st Street NB HOT Access at 81st Street

•• Operational CharacteristicsOperational CharacteristicsType C Weave 4 Service Interchanges 950 vphType C Weave 4 Service Interchanges 950 vph–– Type C Weave 4 Service Interchanges 950 vphType C Weave 4 Service Interchanges 950 vph

Entry fromI 195 Fl

Exit to PNR Exit to

I-95 Northbound

2,900 2,500 2,500Exit to HOT Lane

I-195 Flyover PNRFlyover

Exit to Turnpike

2,200

1001,500

2,200

10,000 7,800 7,300 7,800

Entrances FromI-195/SR 112NW 62nd StNW 69th StNW 81st St

Ramp Vol.2,350 vph780 vph260vph870vph

6,600NW 81st St NW 95th St 7,900

Weave Vol.465 vph198 vph67 vph220 vph

Total 4,260 vph 950 vph

NB HOT Access at 81st StreetNB HOT Access at 81st Street

•• Operational CharacteristicsOperational CharacteristicsType A Weave 950 vph + 1 400 vphType A Weave 950 vph + 1 400 vph–– Type A Weave 950 vph + 1,400 vphType A Weave 950 vph + 1,400 vph

Entry fromI 195 Flyover

Exit to PNR Exit to

I-95 Northbound

2,900 2,500 2,500Exit to HOT Lane

I-195 Flyover

2,200

Flyover

Exit to Turnpike

1001,500

2,200

10,0007,800

7,300 7,800 7,900 6,600NW 95th St

2,500

7,300 7,800

2,900 1,500

6,400

NW 81st St

NB HOT Access at 81st StreetNB HOT Access at 81st Street

•• Operational CharacteristicsOperational CharacteristicsType C Weave 6 Service Interchanges 1 400 vphType C Weave 6 Service Interchanges 1 400 vph–– Type C Weave 6 Service Interchanges 1,400 vph Type C Weave 6 Service Interchanges 1,400 vph

Entry fromI 195 Flyover

Exit to PNR Exit to

I-95 Northbound

2,900 2,500 2,500Exit to HOT Lane

I-195 Flyover

2,200

Flyover

Exit to Turnpike

1001,500

2,200

10,000 7,800 7,300 7,800 6,600

Ramp Vol.445 vph660 vph680 vph390 vph685 vph

Exits toNW 95th StNW 103rd StNW 119th StNW 125th StNW 135th St

NW 81st St NW 95th St 7,900

Weave Vol.234 vph234vph234 vph234 vph419 vph

150 vph3,010 vph

NW151st StTotal

45 vph1,400 vph

NB HOT Access at 81st StreetNB HOT Access at 81st Street

•• Operational CharacteristicsOperational CharacteristicsType C Weave 4 Service Interchanges 950 vphType C Weave 4 Service Interchanges 950 vph–– Type C Weave 4 Service Interchanges 950 vphType C Weave 4 Service Interchanges 950 vph

–– Type A Weave 950 vph + 1,400 vphType A Weave 950 vph + 1,400 vph

Type C Weave 6 Service Interchanges 1 400 vphType C Weave 6 Service Interchanges 1 400 vph

Entry fromI 195 Flyover

I-95 Northbound

–– Type C Weave 6 Service Interchanges 1,400 vphType C Weave 6 Service Interchanges 1,400 vph

Exit to PNR Exit to

2,900 2,500 2,500Exit to HOT Lane

I-195 Flyover

2,200

Flyover

Exit to Turnpike

1001,500

2,200

10,000 7,800 7,300 7,800

Entrances FromI-195/SR 112NW 62nd StNW 69th StNW 81st StT l

Ramp Vol.2,350 vph780 vph260vph870vph

6,600

Ramp Vol.445 vph660 vph680 vph390 vph685 vph

Exits toNW 95th StNW 103rd StNW 119th StNW 125th StNW 135th St

NW 81st St NW 95th St 7,900

Weave Vol.465 vph198 vph67 vph220 vph

Weave Vol.234 vph234 vph234 vph234 vph419 vph

Total 4,260 vphp

150 vph3,010 vph

NW151st StTotal

950 vphp

45 vph1,400 vph

NB HOT Access at 81st StreetNB HOT Access at 81st Street•• Lane Schematic CORSIM ResultsLane Schematic CORSIM Results

NB HOT Access at 81st StreetNB HOT Access at 81st Street•• Lane Schematic CORSIM ResultsLane Schematic CORSIM Results

NB HOT Access at 81st Street R lt SNB HOT Access at 81st Street R lt SResults Summary Results Summary

• Type C Weaves Add Congestion to General Purpose Lanes (GPL)GPL C ti C HOT C ti

• Type C Weaves Add Congestion to General Purpose Lanes (GPL)GPL C ti C HOT C ti• GPL Congestion Causes HOT Congestion

• HOT Speed Reduction and Egress Queuing• Speed Differential is Safety Concern

• GPL Congestion Causes HOT Congestion• HOT Speed Reduction and Egress Queuing• Speed Differential is Safety Concern• Speed Differential is Safety Concern• Speed Differential is Safety Concern