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Integrated Macro-Micro Modeling for Freeway Corridors Sustainable Simulation Models April, 2010 Portland, Oregon

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Page 1: Multi-Resolution Modeling by using Vision Traffic Suite

Integrated Macro-Micro Modeling for Freeway Corridors –

Sustainable Simulation Models

April, 2010

Portland, Oregon

Page 2: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Game Plan

Macro-Micro (Multi-Resolution) Modeling Background

Project Application

> Overview

> VISUM Network Adjustment

> Developing Demand for Simulation

> ANM Export / Import

> VISSIM Network Adjustment / Calibration

Conclusion

2

Page 3: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Multi-Resolution Modeling Background

3

Macroscopic

Mesoscopic

Microscopic

Roadway

Design

Roadway

Design

Modes

Roadway

Design

Strategies

Auto

Truck

Transit

Bicycle

Ped.

Active Traffic

Management

Active Lane

Management

(HOV, HOT,

etc)

Page 4: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

General Workflow

4

Regional Travel Model

Volume

Data

Network

Data

VISUM

Data

Warehouse

VISSIM

Micro-Level

Simulation

Model

PORTAL

ODOT TCM

Turning Count

Data

Signal Timing

Data

Network

Geometry Data

Page 5: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Oregon DOT’s VISSIM Freeway Protocol

Project Boundary

> Freeways: At least two interchanges and/or two miles outside of study

area.

> Ramp Terminal Intersections: One intersection outside of the study

intersections.

Time Periods

> AM Peak Period – 4 hours, 6:00 ~ 10:00

> PM Peak Period – 5 hours, 14:00 ~ 19:00

Volume Data Interval

> Traffic volumes should be collected in 15-minute increments

5

Page 6: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Study Area

6

Corridor Boundary

> Freeways: Including two interchanges

outside of study area.

> One intersection outside of the ramp

terminal intersections.

Time Periods

> AM Peak Period – 4 hours, 6:00 ~ 10:00

> PM Peak Period – 5 hours, 14:00 ~ 19:00

Volume Data Interval

> 15-minute increments

Page 7: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Regional Travel Demand Model

7

Future Macro-Meso-Micro

NetworkCurrent Macro Model Network

Page 8: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Regional Freeway Model

Sub-network Generation Based on Roadway Classification

8

Page 9: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

I-5 Corridor Model

Sub-network Generation Based on Spatial Selection

9

Page 10: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Network Adjustment

Edit Link Shape

> Reshape Links to Better Match Background Image

> One-way Links:

Reshape it along inner

edge of the link

> Detailed Work at this Step

Saved a lot of time on

VISSIM part.

10

Page 11: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Network Adjustment

Split / Merge Links

> Split Link to Model Lane Adds and Drops

> Merge Unnecessary Nodes

11

3 Lanes + 1 Lane (Ramp) 4 Lanes 3 Lanes

You can check it in VISSIM Preview Mode in VISUM

Page 12: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Network Adjustment (Junction Editor)

Node

> Control Type: Uncontrolled, Two-way Stop, Two-way Yield, All-way

Stop, Signalized, Roundabout

Links

> Speed, Road Name, and Link Closure

> On-ramp Speed Must be Adjusted to match up with Mainline Speed

(Merging Behavior Issue)

Turns

> Turn Type and Turn Closure

12

Page 13: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Network Adjustment (Junction Editor)

13

Turns

> All Turn Types on Freeway segments are set to “2. Straight”.

> ANM Import sets Reduced

Speed Area for Turn Types

Other than “2. Straight”.

> Right Turn : 9 mph

> Left Turn : 16 mph

Page 14: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Network Adjustment (Junction Editor)

Geometry

> Lane Turns Definition Used to Determine Connector Setting in

VISSIM

> Turn Bays / Lane Add /

Lane Drop : Length

> Lane Width, Crosswalks

> Center Island: Length, Width

> Channelized Turn Lane:

Length

14

Page 15: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Network Adjustment (Junction Editor)

Signal Timing

> Assign Signal Group to each Movement

> Signal Timing (Including Offset)

Optimization feature in VISUM

15

> Ability to Generate Quick

HCM Report : Easy way of

Checking Validity of Demand

Data

Page 16: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Maintaining

Consistency

Network Adjustment

16

Field

ConditionVISSIM Network

VISUM Network

Page 17: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Developing Demand for Simulation

17

O-D Matrix in Regional Demand

Model (2005)

Matrix Correction for

2-hour Period

Peak 2-hour O-D Matrix (2009)

Simulation Hours O-D Matrix

(2009)

Matrix Correction for

Multi-hour Period

Updated Simulation Hours O-D

Matrix (2009)

2-hour Volume Data

(TCM, Count Data)

Sub-area Freeway Model

Generation

Peak Hours to Multi-hour

Growth Factor (TCM)

Multi-hour Volume Data

(TCM)

Page 18: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

2-Hour O-D Matrix Correction

Developing Demand for Simulation

18

O-D Matrix in

Regional Demand

Model (2005)

::: i j l :::

::: # # # #i # # # #j # # # #l # # # #

::: # # # #

2-HR Peak

Freeway / Ramp

Volume Data

(TCM)

Field Collected

Turning Count

(2009)

VISUM Model

::: i j l :::

::: # # # #i # # # #j # # # #l # # # #

::: # # # #

2-HR Peak

Page 19: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Developing Demand for Simulation

19

Peak Spreading Issue

> Field Count vs. Peak Demand

Capacity

Page 20: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Developing Demand for Simulation

20

Peak Spreading Issue

> Aggregate Flow Data at “Uncongested” Regional Sites

6:45

~

8:45

15:30

~

17:30

Peak Hours to

Multi-hour

Growth Factor

AM Period PM Period

1.755 2.422

Page 21: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Developing Demand for Simulation

21

Expand 2-hr Matrix to Multi-hour Matrix

2-Hr O-D Matrix (2009)

::: i j l :::

::: # # # #i # # # #j # # # #l # # # #

::: # # # #

2-HR Peak

Growth Factor

1.755AM

2.422PM

4-Hr O-D Matrix (2009)

::: i j l :::

::: # # # #i # # # #j # # # #l # # # #

::: # # # #

6:00 - 10:00

5-Hr O-D Matrix (2009)

::: i j l :::

::: # # # #i # # # #j # # # #l # # # #

::: # # # #

14:00 - 19:00

Page 22: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Multi-hour O-D Matrix Correction

Developing Demand for Simulation

22

Multi-hour O-D

Matrix (2009)

Freeway / Ramp

Volume Data

(TCM)

VISUM Model::: i j l :::

::: # # # #i # # # #j # # # #l # # # #

::: # # # #

14:00 - 19:00 Updated Multi

::: i j l :::

::: # # # #i # # # #j # # # #l # # # #

::: # # # #

14:00 - 19:00

Page 23: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Developing Demand for Simulation

Corridor Specific Demand Matrix in 15-minute interval

> Critical TCM count locations at the entering boundary are selected

and analyzed.

23

Page 24: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Developing Demand for Simulation

Time-Series Demand Data

> Enter Time-series Value for AM and PM Time Periods

24

Page 25: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Dynamic User Equilibrium (DUE) Assignment

Developing Demand for Simulation

25

Time-Dependent Travel

Demand

Capacity Variation

DUE Assignment

Time-Varying O-D Path

Flow

Page 26: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Demand Adjustment

Sub-Area Cut O-D Adjustment

26

Zone 1

Zone 2

Eliminate Unrealistic

O-D Trips

Page 27: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Demand Adjustment

27

Calibrating Paths

Page 28: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Developing Demand for Simulation

Evaluating Corrected Matrix

> 40% of Demand on Ramp did not satisfy threshold (±10%)

> Need for additional demand adjustment.

28

Acceptable

(60%)

Not acceptable

(40%)

Page 29: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

How to Adjust O-D Matrix ?

Developing Demand for Simulation

29

Confirm Ramps with

Significant Differences

Visual Inspection of O-D

Data using Flow BundleO-D Matrix Adjustment

Page 30: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Demand Adjustment

Matrix Adjustment Result

> Both AM and PM results fall within ±4% Range.

30

Page 31: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

ANM Export / Import

31

It is important to maintain “LINK-NODE Structure”.

ANM Export (VISUM) ANM Import (VISSIM)

Page 32: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

15-minute Volume Data in VISSIM

Routing DecisionVehicle Input

Demand Data in VISSIM

32

Page 33: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

VISSIM Network Adjustment

Signal Control

> Signalized Intersections : Convert Signal Controller Type to RBC

> Ramp Meter : Convert Signal Controller Type to VAP

Vehicle Composition

> Single Matrix (Car) in VISUM Generates Vehicle Type “Car” only

> Code in Heavy Vehicle Percentage Based on Count Data

Routing Decision

> Single Matrix (Car) in VISUM Generates Vehicle Type “Car” only

> Change to All Vehicle Types

33

Page 34: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

VISSIM Network Adjustment

34

Vehicle Models

> New Vehicle Fleets Models for North America

Page 35: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

VISSIM Network Calibration

Calibration Measures

> Volume Data: Peak 2-hour Ramp Volume

> 15-minute Average Speed on I-5 Mainline

(Entire simulation period, PORTAL)

> Visual Check

Calibration Method

> Comparison of Field Data and Simulation Output (3-days)

> Iterative Process until it matches

35

Page 36: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

VISSIM Network Calibration

Calibration Parameters

> Wiedemann 99 Model Parameters

> Headway Time (CC1) : Headway Time directly impact Safety Distance

calculation process in VISSIM

> Lane Change Behavior Parameters

> Deceleration Rates

> Safety Distance Reduction Factor

> Max. Deceleration for Cooperative braking

> Lane Change Distance

> It should be long enough so that cars which needs to use certain connector

can complete necessary lane change behavior safely.

36

Page 37: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

VISSIM Calibration Result - Volume

2-Hour Ramp Volume Data

> Both AM and PM data are within acceptable range.

37

Page 38: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

VISSIM Calibration Result – Speed (AM Peak)

38

TimeMP

299.3MP

296.3MP

295.2MP

293.4MP

293.1MP

291.3MP

290.4MP

289.4

6:00 62.2 59.4 55.9 61.1 61.7 58.0 56.8 61.0

6:15 61.6 57.4 55.1 61.6 59.3 57.7 56.2 60.2

6:30 61.6 58.2 54.3 61.3 59.9 56.0 54.7 58.6

6:45 60.0 55.8 54.2 60.7 59.3 55.0 54.4 59.0

7:00 59.2 55.2 54.9 60.3 60.1 56.3 54.1 58.8

7:15 60.2 55.4 54.2 59.7 58.6 53.3 55.1 59.0

7:30 59.3 53.4 53.8 59.3 57.8 51.3 52.4 58.3

7:45 59.6 55.6 54.8 60.4 59.0 55.0 54.9 59.0

8:00 60.0 55.9 54.9 61.0 59.3 54.0 54.4 59.2

8:15 59.4 55.9 55.0 60.6 59.3 53.3 54.0 58.4

8:30 59.4 56.1 53.9 60.6 58.8 53.7 54.4 57.9

8:45 59.3 56.3 54.2 60.6 58.4 54.7 54.6 57.9

9:00 59.9 57.7 54.7 61.4 59.9 56.0 54.9 59.3

9:15 60.6 58.2 54.8 61.2 59.4 55.7 54.6 58.7

9:30 60.0 55.6 54.2 60.8 59.8 54.0 54.9 59.2

9:45 59.9 55.9 54.7 60.9 58.9 55.0 54.4 59.8

TimeMP

299.3MP

296.3MP

295.2MP

293.4MP

293.1MP

291.3MP

290.4MP

289.4

6:00 56.7 51.8 51.9 57.1 57.1 57.3 57.7 57.6

6:15 56.0 51.4 51.5 56.6 56.7 56.6 57.0 57.1

6:30 55.3 51.2 51.1 56.2 56.5 56.1 56.8 56.8

6:45 51.8 51.0 51.1 56.0 56.4 55.9 56.5 56.5

7:00 51.8 51.1 51.1 56.1 56.4 56.0 56.6 56.6

7:15 50.0 50.8 51.0 56.0 56.3 55.8 56.5 56.5

7:30 49.7 50.8 50.9 55.9 56.2 55.8 56.5 56.6

7:45 49.4 50.8 50.8 55.8 56.4 56.0 56.6 56.5

8:00 52.5 51.0 51.0 56.0 56.4 55.9 56.7 56.7

8:15 54.1 50.9 51.1 55.9 56.3 55.9 56.6 56.8

8:30 54.9 51.1 51.1 56.1 56.5 56.1 56.6 56.7

8:45 55.6 51.1 51.0 56.0 56.3 56.1 56.6 56.7

9:00 55.8 51.0 51.2 56.2 56.4 56.3 56.8 56.7

9:15 55.6 51.2 51.2 56.1 56.4 56.2 56.9 56.9

9:30 56.1 51.2 51.1 56.3 56.5 56.2 56.7 56.8

9:45 56.1 51.4 51.4 56.6 56.7 56.5 56.9 56.8

TimeMP

286.1MP

286.3MP

289.4MP

289.6MP

290.5MP

291.4MP

292.2MP

293.2MP

293.7MP

295.2MP

296.3MP

296.6MP

297.3MP

299.7MP

301.1MP

302.5

6:00 67.1 58.0 59.6 58.8 59.8 58.4 59.4 55.8 52.2 60.0 56.8 59.7 58.7 59.2 54.8 56.8

6:15 65.8 59.1 57.7 56.7 58.4 57.1 59.2 56.0 53.4 58.1 55.4 57.6 55.3 56.8 54.8 54.5

6:30 63.7 55.7 56.2 56.5 56.2 54.9 57.3 54.3 51.4 55.4 53.2 55.0 53.3 56.0 54.8 52.7

6:45 64.4 56.2 55.6 54.8 56.7 56.0 57.6 54.3 52.4 56.2 51.4 52.2 50.2 54.3 53.9 48.2

7:00 63.9 55.7 54.8 54.3 55.7 53.8 56.0 54.1 51.9 55.1 50.2 52.7 51.4 54.2 53.9 52.2

7:15 63.7 55.4 52.9 54.3 53.6 52.1 57.6 53.8 52.3 53.1 41.9 41.7 40.4 53.0 53.8 52.7

7:30 63.8 53.7 50.8 50.8 51.9 51.2 56.2 54.4 51.1 44.6 31.6 31.1 33.4 52.8 53.0 51.2

7:45 65.1 55.0 52.8 53.0 53.2 52.4 57.2 55.4 52.2 35.4 32.8 30.1 31.8 48.5 51.8 51.3

8:00 65.2 57.6 54.9 55.3 55.0 54.6 58.1 56.1 53.1 47.4 34.6 28.7 32.7 52.2 50.4 50.5

8:15 65.2 55.4 54.1 55.3 52.8 53.8 57.3 54.8 51.9 56.6 47.3 35.9 33.2 52.2 51.7 51.7

8:30 64.0 57.2 55.7 55.8 54.3 53.8 57.0 54.9 51.7 58.2 51.9 43.7 37.3 53.3 53.7 51.3

8:45 65.4 55.2 56.0 56.2 56.2 54.6 57.4 55.1 52.0 58.7 53.3 52.3 43.7 53.7 53.8 52.2

9:00 65.8 57.9 57.3 57.3 56.9 54.1 57.3 55.2 50.9 59.3 54.3 52.0 43.5 54.0 54.3 51.5

9:15 66.0 54.7 57.6 57.7 57.8 55.8 57.1 54.9 51.2 59.0 54.7 55.0 53.4 53.3 54.2 52.2

9:30 66.1 57.8 57.3 57.2 57.6 54.6 56.6 54.2 49.4 57.8 55.1 56.4 55.3 55.2 54.0 53.2

9:45 65.4 56.8 57.9 58.0 58.1 54.4 58.2 55.2 51.3 58.8 54.2 56.8 55.2 54.2 53.4 53.0

TimeMP

286.1MP

286.3MP

289.4MP

289.6MP

290.5MP

291.4MP

292.2MP

293.2MP

293.7MP

295.2MP

296.3MP

296.6MP

297.3MP

299.7MP

301.1MP

302.5

6:00 61.6 61.4 57.3 57.1 56.8 57.1 57.4 57.2 57.2 57.4 56.9 57.5 52.6 57.1 57.4 57.2

6:15 61.2 61.1 56.8 56.0 55.9 56.3 57.1 56.6 57.0 56.6 56.3 56.8 51.8 55.7 56.9 56.5

6:30 60.9 60.6 56.5 55.5 54.6 55.4 56.4 55.8 56.1 56.1 54.9 56.5 51.1 53.4 57.0 56.0

6:45 61.0 60.6 56.3 54.8 54.0 55.4 56.6 55.8 56.1 55.7 54.4 56.2 47.9 50.0 56.7 56.0

7:00 60.9 60.7 56.4 55.1 54.4 55.4 56.6 56.1 56.1 56.0 54.6 56.3 49.9 42.4 57.1 56.2

7:15 60.3 60.2 56.4 55.2 53.6 54.7 56.2 55.6 55.9 55.5 54.6 56.3 45.5 45.0 56.8 56.0

7:30 60.6 60.1 56.0 55.3 54.4 55.3 56.4 55.6 56.0 55.5 54.8 52.7 28.5 36.3 56.9 56.0

7:45 60.7 60.1 56.2 54.7 53.7 55.1 56.3 55.8 55.7 55.4 54.0 45.9 32.0 31.7 57.2 56.2

8:00 60.9 60.5 56.4 55.1 54.5 54.6 56.6 56.0 56.2 55.9 53.6 41.6 24.5 32.0 57.0 56.2

8:15 60.9 60.6 56.3 55.1 54.4 55.4 56.7 55.9 56.1 55.9 47.3 33.3 23.6 33.1 56.9 56.3

8:30 60.9 60.5 56.7 55.4 54.7 55.1 56.5 55.8 56.2 55.9 40.6 27.7 24.2 30.5 56.9 56.2

8:45 61.1 60.9 56.6 55.2 54.6 55.5 56.5 56.0 56.2 56.0 42.7 35.2 23.7 38.6 57.0 56.2

9:00 61.4 61.2 56.6 55.4 54.8 55.5 56.5 56.0 56.3 56.0 45.3 41.3 28.2 36.2 56.7 56.1

9:15 61.3 61.1 56.7 55.7 55.1 55.8 56.8 56.2 56.5 56.3 52.0 48.3 43.2 36.2 56.7 56.3

9:30 61.4 61.2 56.7 55.8 55.4 55.5 56.9 56.3 56.7 56.3 55.3 56.4 47.4 43.0 57.2 56.2

9:45 61.5 61.3 56.7 55.9 55.5 56.4 56.9 56.4 56.7 56.5 55.9 56.8 51.5 50.5 57.2 56.4

I-5 Southbound I-5 Northbound

PO

RTA

LV

ISS

IM

Page 39: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

VISSIM Calibration Result – Speed (PM Peak)

39

I-5 Southbound I-5 Northbound

PO

RTA

LV

ISS

IM

TimeMP

299.3MP

296.3MP

295.2MP

293.4MP

293.1MP

291.3MP

290.4MP

289.4

2:00 55.8 57.6 54.4 61.2 59.3 52.7 51.9 58.0

2:15 57.9 55.8 55.1 60.1 58.0 52.8 50.7 58.2

2:30 58.9 56.0 55.1 61.1 58.6 52.8 51.2 58.2

2:45 59.1 56.6 55.3 60.9 57.8 51.5 52.1 58.1

3:00 58.9 56.3 55.4 61.1 57.6 50.0 51.1 56.2

3:15 57.8 56.4 55.4 61.4 57.2 48.8 51.6 56.6

3:30 50.9 55.9 54.7 61.4 57.9 48.3 51.0 55.9

3:45 32.8 56.0 55.3 61.4 57.9 48.3 51.0 56.8

4:00 42.6 55.8 54.8 60.7 55.9 47.3 52.0 56.3

4:15 39.2 54.0 54.1 60.9 56.9 43.0 49.1 55.8

4:30 28.4 54.2 54.8 61.1 57.3 45.8 49.1 57.0

4:45 30.9 55.3 55.1 61.8 58.3 47.0 51.9 57.7

5:00 29.4 53.7 54.2 61.7 57.1 47.8 50.8 57.8

5:15 28.8 54.6 54.4 61.9 58.8 46.3 50.8 57.7

5:30 31.0 54.1 54.8 62.0 58.8 49.8 52.2 59.1

5:45 26.9 55.2 54.8 61.9 59.3 52.5 53.0 59.2

6:00 43.0 57.1 55.7 61.6 58.6 54.3 54.1 59.9

6:15 48.6 56.7 55.2 62.1 59.6 53.7 54.6 59.4

6:30 49.2 56.7 55.1 61.1 58.3 55.3 54.4 60.0

6:45 57.6 57.2 56.3 61.8 60.1 55.8 55.9 61.6

TimeMP

299.3MP

296.3MP

295.2MP

293.4MP

293.1MP

291.3MP

290.4MP

289.4

2:00 52.1 51.3 51.4 56.5 56.7 56.3 56.6 56.82:15 54.1 51.1 51.1 56.4 56.5 54.9 55.9 55.92:30 49.5 51.1 51.3 56.4 56.6 55.3 55.8 56.02:45 44.2 51.1 51.2 56.4 56.5 55.2 55.9 55.73:00 44.6 51.0 51.1 56.5 56.6 54.6 56.0 55.83:15 36.2 51.1 51.2 56.5 56.6 54.6 55.9 55.93:30 33.5 51.1 51.3 56.5 56.7 54.9 55.9 55.73:45 29.1 51.0 51.2 56.4 56.5 54.7 55.6 55.84:00 25.3 51.1 51.3 56.5 56.5 54.7 55.7 55.84:15 24.6 51.0 51.2 56.5 56.5 54.5 55.7 55.74:30 30.9 50.9 51.2 56.4 56.5 54.8 55.6 55.84:45 24.4 51.0 51.1 56.4 56.4 50.8 55.6 55.95:00 25.4 51.1 51.1 56.3 56.5 49.2 55.5 55.75:15 34.1 51.1 51.2 56.5 56.6 49.7 55.7 55.75:30 27.0 51.1 51.0 56.4 56.6 54.4 55.7 55.95:45 42.2 51.1 51.2 56.5 56.6 54.7 55.8 55.76:00 50.5 51.1 51.2 56.4 56.5 54.8 55.8 55.96:15 53.1 51.1 51.1 56.6 56.5 55.2 56.0 56.06:30 54.7 51.0 51.3 56.3 56.5 55.5 55.9 56.06:45 55.2 51.2 51.3 56.6 56.6 55.7 56.1 56.1

TimeMP

286.1MP

286.3MP

289.4MP

289.6MP

290.5MP

291.4MP

292.2MP

293.2MP

293.7MP

295.2MP

296.3MP

296.6MP

297.3MP

299.7MP

301.1MP

302.5

2:00 65.9 56.3 58.7 57.5 57.6 55.9 58.6 55.4 53.7 59.6 57.0 59.0 57.2 55.3 55.0 53.2

2:15 65.6 56.7 58.9 57.8 56.8 55.3 57.8 54.4 52.2 58.9 56.2 57.0 56.5 55.3 55.1 52.2

2:30 65.9 55.6 58.2 57.0 56.1 54.6 57.3 54.8 52.0 59.2 56.3 57.7 56.6 54.7 54.6 53.3

2:45 65.2 55.2 57.9 57.2 55.7 54.3 57.7 55.2 52.9 59.3 54.8 58.4 56.6 54.7 55.2 53.5

3:00 64.8 54.2 58.7 58.3 56.0 54.0 56.6 54.9 52.6 59.0 55.2 58.1 56.2 51.2 54.6 48.2

3:15 65.2 56.3 58.4 58.3 57.1 56.2 57.7 55.8 53.8 59.8 55.9 57.9 57.1 32.0 54.5 52.8

3:30 65.5 56.5 59.1 58.0 55.9 52.8 58.0 55.8 54.8 59.8 55.2 59.0 56.8 20.5 54.8 55.7

3:45 66.5 56.3 58.2 57.7 56.3 55.2 57.4 55.4 53.6 59.4 56.1 58.6 57.1 26.3 55.2 54.8

4:00 66.2 56.0 58.3 57.2 54.3 54.1 57.7 55.2 54.1 59.0 55.0 58.2 57.3 22.2 54.7 54.8

4:15 66.5 56.5 56.7 56.5 55.4 52.0 56.3 54.4 54.3 58.1 54.3 55.7 50.8 13.2 54.7 55.0

4:30 66.5 55.5 56.1 56.5 54.2 52.7 56.8 54.1 52.3 58.7 54.9 54.0 43.3 19.3 52.8 52.5

4:45 67.2 57.0 56.7 55.8 55.0 53.3 57.3 54.7 54.1 58.6 53.0 52.0 48.9 27.0 52.7 44.5

5:00 66.7 55.8 57.6 57.0 55.7 52.1 56.4 53.9 54.1 58.2 55.0 57.8 55.7 35.0 47.3 41.8

5:15 66.2 56.8 57.3 56.3 54.0 52.2 56.0 54.1 54.9 57.3 54.4 56.6 55.5 12.5 48.8 41.8

5:30 66.2 55.7 57.9 58.0 56.9 55.3 58.4 55.9 52.7 58.6 55.3 57.1 53.3 10.8 54.7 44.3

5:45 65.7 56.3 58.2 58.8 56.7 55.6 57.7 56.1 54.3 59.6 54.0 50.0 43.2 25.2 54.7 44.8

6:00 66.6 57.4 58.9 57.8 56.7 55.8 57.7 55.9 53.4 59.8 50.8 50.4 47.7 40.3 55.2 51.3

6:15 66.6 58.0 58.6 58.3 57.7 56.6 58.6 56.3 54.3 59.2 56.7 55.8 46.3 50.5 55.5 56.2

6:30 68.0 58.2 59.4 58.5 57.7 56.8 59.1 55.7 54.7 59.9 56.1 58.8 55.3 55.0 55.1 56.8

6:45 68.2 58.8 60.1 60.0 59.3 57.6 59.6 56.8 54.0 60.6 56.8 58.9 58.3 55.3 55.8 57.2

TimeMP

286.1MP

286.3MP

289.4MP

289.6MP

290.5MP

291.4MP

292.2MP

293.2MP

293.7MP

295.2MP

296.3MP

296.6MP

297.3MP

299.7MP

301.1MP

302.5

2:00 60.8 60.2 56.4 56.2 56.4 56.4 57.0 56.8 56.8 56.7 56.4 57.4 57.0 56.3 57.1 57.1

2:15 60.7 60.3 56.3 55.7 55.9 55.9 56.7 56.2 56.2 56.1 55.4 56.7 56.0 55.9 56.8 56.6

2:30 60.6 60.1 56.3 55.8 55.8 55.9 56.5 56.2 56.2 56.1 55.8 56.7 56.0 55.5 56.6 56.3

2:45 60.6 59.8 56.2 55.7 55.8 55.2 56.5 56.0 56.1 56.0 55.4 56.6 55.9 55.3 56.7 56.5

3:00 60.4 60.0 56.2 55.5 55.7 55.5 56.7 56.1 56.0 56.1 55.4 56.6 55.8 55.9 56.7 56.5

3:15 60.5 59.6 56.2 55.6 55.8 55.3 56.7 56.0 56.1 56.0 55.3 56.6 55.9 54.9 56.7 56.4

3:30 60.4 59.4 56.3 55.5 55.5 55.3 56.3 56.0 56.0 56.0 55.5 56.6 55.8 41.6 56.8 56.3

3:45 60.6 59.3 56.2 55.4 55.7 54.8 56.5 56.0 56.0 56.0 55.3 56.5 55.9 42.2 56.7 56.3

4:00 60.4 59.3 56.2 55.5 55.7 54.2 56.5 55.9 55.9 56.0 55.1 56.7 55.9 34.8 56.6 56.4

4:15 60.3 59.3 56.2 55.2 55.6 55.1 56.4 55.9 55.9 56.0 55.4 56.7 53.9 28.6 56.8 56.4

4:30 60.5 60.0 56.2 55.0 55.8 55.7 56.5 56.1 56.0 56.0 55.4 56.7 46.9 27.3 56.9 56.5

4:45 60.5 59.7 56.2 55.3 55.7 55.4 56.6 56.1 56.1 56.1 55.2 56.4 46.2 26.7 56.7 56.1

5:00 60.0 59.1 56.2 55.4 55.5 54.7 56.5 56.0 56.0 56.0 55.0 56.8 45.9 25.2 56.8 56.4

5:15 60.3 58.9 56.2 55.2 55.4 55.3 56.5 55.9 55.9 55.8 54.0 51.7 40.0 24.3 56.9 56.4

5:30 59.9 59.4 56.0 55.4 55.6 55.2 56.5 56.0 56.0 53.4 45.5 41.5 26.4 24.7 56.7 56.5

5:45 60.3 59.5 56.2 55.3 55.9 55.7 56.6 56.0 56.1 46.7 41.5 32.0 25.0 25.3 56.6 56.5

6:00 60.4 59.8 56.3 55.7 55.8 55.4 56.6 56.0 55.9 47.3 39.1 33.2 26.8 28.2 56.8 56.2

6:15 60.8 60.5 56.4 55.8 56.0 55.9 56.7 56.2 56.2 52.4 40.8 40.9 33.5 29.2 56.5 56.4

6:30 60.8 60.3 56.4 55.9 56.0 56.1 56.8 56.3 56.3 56.1 49.0 47.8 38.0 29.2 56.7 56.4

6:45 61.0 60.8 56.6 56.0 56.2 56.3 56.9 56.5 56.4 56.4 55.8 56.8 46.2 33.2 56.7 56.5

Page 40: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Conclusions

> Network geometry, volume, and signal control coded and maintained

in single platform.

> Detailed geometry coding saved time in latter steps.

> Demand development and adjustment could be completed effectively

with VISUM.

> Calibration result of VISSIM network were acceptable (Speed,

Volume).

> Project completed in ~ 200 hours.

> Additional scenario with different demand level can be simulated with

minimal effort

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Page 41: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

More Conclusions

> PTV Vision - Complete framework and toolbox for long-term

sustainability of macro-meso-micro simulation modeling

> Comprehensive and Flexible Network [Planning -> Operations]

> More realistic demand

> Complementary diagnostic tools [HCM, queueing]

> PTV Vision – More Tools

> Flexible DTA Support [DUE, VISTA, Dynus-T]

> Traffic Count Management (TCM) provides project analysis support

– Count data quality (includes speed)

– Management and utilization (VISUM export)

– Expanded simulation analysis (VISSIM import)

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Page 42: Multi-Resolution Modeling by using Vision Traffic Suite

PTV America, Inc. 2010

Thank You

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