TRM Gen2 Overview - NCSU
18
TRM GEN2 OVERVIEW
Transcript of TRM Gen2 Overview - NCSU
TRM GEN2 OVERVIEW
INTRODUCTIONS
2
OVERVIEW OF MODEL DESIGN
3
Supply Models
Disaggregate Demand Aggregate Demand
TAZ SE Data
AccessibilityNetwork
Times
Population Synthesis
HB Trip (Tour) Generation
Segmentation & Aggregation
HB Trip Mode & Destination Choice
Time-of-Day
NHB Trip Generation by Mode
NHB Destination Choice Auxiliary Demand
University
Airport
Externals
Trucks & CVs
Vehicle Ownership
Transit Assignment
Multiclass Equilibrium Traffic Assignment
TRM MODEL FRAMEWORK
TASK 3 – NETWORK & TAZ DATA DEVELOPMENT
Master network approach– Separate network meeting, 10/7, 2-4 pm– Possible use of HERE network data
Transit– More reliance on GTFS?
Collaboration TAZ Review
5
TASK 3 – ACCESSIBILITY VARIABLESWhat is accessibility?
– How easy it is to get somewhere else– Average (expected) cost of a trip from this zone
– 𝒍𝒍𝒍𝒍 ∑𝒛𝒛𝒐𝒐𝒍𝒍𝒐𝒐𝒐𝒐(𝒋𝒋)𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒐𝒐𝒍𝒍 × 𝒐𝒐 𝜷𝜷×𝒂𝒂𝒂𝒂𝒕𝒕𝒐𝒐𝒂𝒂𝒋𝒋
What does Accessibility (the expected cost of a trip) affect?– Auto ownership– Frequency of trip-making– Destination chosen
• Convenience for trip-chaining (cost of next trip)• Trip length differences by residential location
6
TASK 3 – ACCESSIBILITY VARIABLESWith accessibility in both generation and distribution:
– Fewer, but longer rural trips– More, shorter urban trips
7
TASK 5 – HB TRIP PRODUCTION MODELS
Disaggregate models– Benefits
• Sensitivity to more factors• Full survey support
o no empty cells
• Limit non-linearities to rational effects o interaction termso diminishing returns to scale
8
– Statistical form• Ordered logit• Generalized linear models (GLM)
TASK 5 – HB TRIP PRODUCTION MODELS
9
Tour Type & Trip Purpose– Segmentation by tour type (example)
• Work-tour Tripso Home-based Worko Home-based School on Work Touro Home-based Other on Work Touro Non-home-based on Work Tour
• Non-work-tour Trips o Home-based School on Non-Work Touro Home-based Long Shoppingo Home-based Long Othero Home-based Shorto Non-home-based on Non-Work Tour
– Equivalent to tour generation – just divide by 2
SEGMENTATION & AGGREGATION
10
Disaggregate trips summed to aggregate market segments Market segments may be traditional, pre-defined fixed
– Example: • No vehicles,• Vehicle Insufficient Low Income• Vehicle Insufficient High Income• Vehicle Sufficient Low Income• Vehicle Sufficient High Income
Or dynamic, implied latent classes (e.g., transit captives) based on the survey data and synthetic population
TASK 7 – CHOICE MODELS
Choice
Auto
Drive Alone
Shared Ride
2
3+
Auto Intercept
Transit
Local
Walk/Bus
PNR
KNR
Express
Walk/Bus
PNR
KNR
Urban Rail
Walk/Bus
PNR
KNR
BRT
Walk/Bus
PNR
KNR
Com. Rail
Walk/Bus
PNR
KNR
Non-MotoMaaS?
Data exploration of choice sets, captivity, segmentation
11
TASK 8 – NON-HOME-BASED TRIP MODELS
After and conditional on HB trip models– NHB trips generated separately by mode based
on HB trip destinations by mode (~Markov transition probabilities)
12
TASK 8 – NON-HOME-BASED TRIP MODELS Creates consistency of modes and destinations within tours
Segmentation of NHB trips for reporting– A few residential segments (e.g., by county)
13
Mode Shares of NHB Trips Generated by Transit HB Trips
LOOKING FORWARD
14
USER EXPERIENCE
MODEL & DOC IN GITHUB REPOSITORYFLOWCHART INTERFACE IN TC9
15
SCHEDULE Final delivery and training November 2021
16
17
Thank you!
