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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Presentations text content in Focus Model Overview CLASS
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.
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
Download this presentation
DownloadNote - The PPT/PDF document "Focus Model Overview CLASS" is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
Presentations text content in Focus Model Overview CLASS
Focus Model OverviewCLASS FIVE
Denver Regional Council of GovernmentsJuly27, 2011
Slide2Tentative Schedule
Model Steps July 28Model Steps & More about Application to unconfuse you August 4
Slide3Focus Model Duality
SQL Server Database and TransCAD files (bin, matrix)T-SQL/C# Code And GISDK Code
Slide4Focus 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
Slide5Focus Model Flow
FEEDBACK
Slide6Review
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?
Slide7Review
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?
Slide8Intermediate 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
Slide9Can Now Create Trips and Half Tour Stops: Fill These Tables
Slide10Here’s what the trip table looks like
Slide11Trip 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
Slide12Intermediate 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
Slide13Now we know where the stops are.
Slide14Trip 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
Slide15Only 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
Slide16Trip 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
Slide17We don’t know time we left home, so
Predicts Stop Arrival Time on Outbound Half Tour
Slide18Trip 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
Slide19Finally 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
Slide20Here’s what the trips look like (again)
Slide21Focus Model Flow
FEEDBACK
Slide22Write 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!
Slide23Aggregate 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;
Slide24Trip Time – Distance Matrix Copier
Take the Skimmed Travel Times and Distances and Write Them Back Into the DatabaseLooks like this:
Slide25Stage 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
Slide26Cool 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.
Slide27Focus 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