Focus Model Overview CLASS PowerPoint Presentation, PPT - DocSlides

Focus Model Overview CLASS PowerPoint Presentation, PPT - DocSlides

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FIVE. Denver Regional Council of Governments. July27, 2011. Tentative Schedule. Model Steps July 28. Model Steps & More about Application to . unconfuse. you August 4. Focus Model Duality. ID: 697497

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Slide1

Focus Model OverviewCLASS FIVE

Denver Regional Council of GovernmentsJuly27, 2011

Slide2

Tentative Schedule

Model Steps July 28Model Steps & More about Application to unconfuse you August 4

Slide3

Focus Model Duality

SQL Server Database and TransCAD files (bin, matrix)T-SQL/C# Code And GISDK Code

Slide4

Focus Model Flow: 28 Steps

Outside The Speed Feedback Loop: Run Once-

STAGE 1

GISDK called from C#:

GISDK Preprocess

Java:

3

. Population Synthesizer

C#

4. PopSyn Output Processor5. Size Sum Variable Calculator

STAGE 2 GISDK called from C#:For DIA, I-E, E-E and Commercial Trips1. DRCOG Multi-Period Highway Preprocess 2. DRCOG Multi-Period Transit Preprocess3. DRCOG Transit Preprocess4. Trip Generation5. Highway and Transit Skimming6. Trip Distribution7. Mode ChoiceSTAGE 3 C# Regular Trips8. Regular Work Location Choice 19 . Tour Main Mode Choice 9. Regular School Location Choice 20. Tour Time of Day Choice10. Auto Availability 21. Intermediate Stop Generation11. Aggregate Logsum Generation 22. Trip Time of Day Simulation12.Daily Activity Pattern 23. Trip Time Copier13. Exact Number of Tours 24. Intermediate Stop Location14.Work Tour Destination Type 25. Trip Mode Choice15.Work-Based Subtour Generation 26. Trip Time of Day Choice16. Tour Time of Day Simulation 27. Write Trips to TransCAD17. Tour Primary Destination Choice18. Tour Priority AssignmentSTAGE 4 GISDK called from C#:28. Highway and Transit Assignment

FEEDBACK

Slide5

Focus Model Flow

FEEDBACK

Slide6

Review

We have represented and skimmed the network.We have created external DIA and commercial trips.

People have

a regular workplace

and

school

.

Households have a

number of cars

.We know how tours a person makes. What is a tour again? What is a half-tour? What is an intermediate stop? How is a half-tour stop different from an intermediate stop?

Slide7

Review

We know where the tour is going, what mode it uses, and it times.Now it’s time to make stops on the tour.

Why do

you

stop places instead of leaving your house and coming back again?

When you stop what is guiding what time you stop at and what mode you use?

Slide8

Intermediate Stop Generation

Choice: Applied to Each Half Tour, if daily activity pattern includes a stop, Predicts work, school, escort, personal business, meal, shop, social/rec or no more stops

Model Type: Multinomial

Logit

Inputs: (What do you think predicts?)

Tour Purpose

Person Type

Number of Stops already made

Tour Mode

Slide9

Can Now Create Trips and Half Tour Stops: Fill These Tables

Slide10

Here’s what the trip table looks like

Slide11

Trip Time of Day Simulation

We need a time of day on each intermediate stop to pick which skim to use.Use the distribution of observed times for intermediate stops by purpose, and monte

carlo

.

For example, 15% of meal stops happen between 12 pm – 1 pm

Slide12

Intermediate Stop Location

We know the anchoring locations of home and primary destination

. We know

how many stops

they will make.

Where

will the person stop?

Model Type: Multinomial

Logit

Choices: Zones, Point LocationsInputs: (What do you think predicts this?)- Distance Out of Direction the stop will take you- Stop Purpose- Number of Jobs in Each Zone- Mixed Use Density

Slide13

Now we know where the stops are.

Slide14

Trip Mode Choice

Choice: Drive Alone, Shared Ride 2, Shared Ride 3+, Walk to Transit, Drive to Transit, Walk, Bike School BusKnown: Tour ModeModel Type: Multinomial

Logit

(separate by purpose)

Inputs: (What do you think?)

Tour Mode

Trip Purpose

Travel Time

Time of Day

Income Destination Density

Slide15

Only Certain Trip Modes allowed by Tour Mode

Tour Mode

DT

WT

SB

SR3+

SR2

DA

B

W

Trip modeDTX

WT

X

X

SB

X

X

X

SR3+

X

X

X

X

SR2

X

X

X

X

X

DA

X

X

X

X

X

X

B

X

X

X

X

X

X

X

W

X

X

X

X

X

X

X

X

Slide16

Trip Time of Day

Predicts: Time of Day for Intermediate Stops (we already know for primary destinationChoice: twenty four one-hour increments 12 AM- 1 AM..etc; A little tricky

Predict Stop Departure Time

On Inbound Half Tour

Slide17

We don’t know time we left home, so

Predicts Stop Arrival Time on Outbound Half Tour

Slide18

Trip Time of Day Choice

Model Type: Multinomial LogitInputs: (What do you think?)Previously Scheduled Tours and Stops

(Process is Iterative)

Trip Purpose

Travel Mode

Age

Worker Status

Constants by Time of Day

Slide19

Finally we have a full set of trips: we’re done with stage 3

We know:Trip Origin, Destination X, YTrip Time Period to

Within an Hour

Trip Mode

Trip Purpose

For Each Person, For Each Trip in the Region

Slide20

Here’s what the trips look like (again)

Slide21

Focus Model Flow

FEEDBACK

Slide22

Write Trips to TransCAD

We take these flat table trips and write them into matrices by mode by purpose. Thisw ill have all integer values. We combine these trips with internal-external trips, external-external trips, and DIA trips by replacing the appropriate rows and columns in the matrices.

Now we can assign the

Trips Finally!

Slide23

Aggregate Trips into Assignment Periods

TIMES OF DAYHighway Times of Day

Transit Times of Day

AM1: 6:30 – 7:00 AM; AM: 6:30- 9:00 AM

AM2: 7:00 – 8:00 AM;

AM3: 8:00 – 9:00 AM;

OP2: 9:00 – 11:30 AM; MD: 9:00 AM- 3:00 PM

PM

OP3: 11:30 AM – 3:00 PM; PM1: 3:00 – 5:00 PM; PM: 3:00 PM -7:00 PM PM2: 5:00 – 6:00 PM; PM3: 6:00 – 7:00 PM; OP4: 7:00 – 11:00 PM. EL: 7:00 PM – 6:00 AM OP1: 11:00 PM – 6:30 AM;

Slide24

Trip Time – Distance Matrix Copier

Take the Skimmed Travel Times and Distances and Write Them Back Into the DatabaseLooks like this:

Slide25

Stage 4: GISDK Assignment

Run Highway Assignment for 10 time periodsRun Transit Assignment for 4 time periodsRemember those DIA trips, external trips, and commericial

trips from way long ago: they get thrown in.

Then we know: Model Assignment Outputs

And we can feed the speeds back to the trip-making.

So people can choose daily activity patterns with the updated speeds.

People may travel less due to congestion or switch modes

Slide26

Cool Outputs

VMT for an individual person, or group of people living in a neighborhoodNumber of Bike or Walk Trips Originating in a buffer around a bike pathThe usual: Boardings by Route, Traffic Volumes by ten time periods

Can you think of something we can do now???

We know about each person and where they go on a point level.

Slide27

Focus Model Flow: 28 Steps

Outside The Speed Feedback Loop: Run Once-

STAGE 1

GISDK called from C#:

GISDK Preprocess

Java:

3

. Population Synthesizer

C#

4. PopSyn Output Processor5. Size Sum Variable Calculator

STAGE 2 GISDK called from C#:For DIA, I-E, E-E and Commercial Trips1. DRCOG Multi-Period Highway Preprocess 2. DRCOG Multi-Period Transit Preprocess3. DRCOG Transit Preprocess4. Trip Generation5. Highway and Transit Skimming6. Trip Distribution7. Mode ChoiceSTAGE 3 C# Regular Trips8. Regular Work Location Choice 19 . Tour Main Mode Choice 9. Regular School Location Choice 20. Tour Time of Day Choice10. Auto Availability 21. Intermediate Stop Generation11. Aggregate Logsum Generation 22. Trip Time of Day Simulation12.Daily Activity Pattern 23. Trip Time Copier13. Exact Number of Tours 24. Intermediate Stop Location14.Work Tour Destination Type 25. Trip Mode Choice15.Work-Based Subtour Generation 26. Trip Time of Day Choice16. Tour Time of Day Simulation 27. Write Trips to TransCAD17. Tour Primary Destination Choice18. Tour Priority AssignmentSTAGE 4 GISDK called from C#:28. Highway and Transit Assignment

FEEDBACK


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