June 3 th 2015 1 Todays Agenda Work plan progress report GTAModel V40 update Surface transit speed updating GTAModel V40 Workshop Other Business Adjournment 2 Work Plan ID: 528749
Download Presentation The PPT/PDF document "Technical Advisory Committee" 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.
Slide1
Technical Advisory Committee
June 3th, 2015
1Slide2
Today’s Agenda
Work plan progress report.GTAModel V4.0 update
Surface transit speed updatingGTAModel V4.0 Workshop
Other
Business
Adjournment
2Slide3
Work Plan
3Slide4
Work Plan
4
Generally on-schedule:
Multi-class auto assignment done.
HOV network coding done.
V4 documentation complete by mid June.
Economic evaluation & visualization in good shape but development will continue.Slide5
Work Plan
5
On-target for next quarter:
On-target for future year network DBMS, 3-step freight model, XTMF Core 1.1
Preliminary multi-class, congested transit assignment testing begun.
Active transportation mode choice model underway.Slide6
GTAModel V4.0
Model OverviewMode Choice Parameter ResultsMode Choice ResultsTransit Parameter ResultsBoardings
Screenlines
6Slide7
Model Overview
7Slide8
Mode Choice Parameter Results
Value of Time
P
G
S
M
St
U
Auto
29.9867159
27.60404
29.65409
29.97654
29.92864
28.20381
Transit
15.5018972
27.91662
13.38866
29.99561
26.36896
15.83214
8
walk/ivtt
P
G
S
M
St
U
Transit
2.82246223
3.117891
3.197698
1.66546
3.0932112.659376
wait/ivtt
P
G
S
M
St
U
Transit
3.57867404
2.44743
3.58938
2.143965
2.38517
3.237301Slide9
Mode Choice Results
9Slide10
Transit Parameter Results
Parameter
Value
Congestion Penalty Perception
1
Congestion Exponent:
TTF1
TTF2
TTF3
TTF4
TTF5
6.56
6.69
6.69
3.33
6.17
Fare Perception
15.14
Wait Time Perception
2.65
Toronto Walk Perception
1.35
Non-Toronto Walk Perception
1.16
Toronto Access Perception
1.82
Non-Toronto Access Perception
1.80
PD1 Walk Perception
1.12
Brampton Boarding Penalty
1.50
Durham Boarding Penalty
0.00457GO Bus Boarding Penalty7.50
GO Train Boarding Penalty
1.43
Halton
Boarding Penalty
3.0
Hamilton Boarding Penalty3.50Streetcar (including Exclusive ROW) Boarding Penalty4.29Subway Boarding Penalty0.95TTC Bus Boarding Penalty2.95YRT Boarding Penalty5.42VIVA Boarding Penalty2.79MiWay Boarding Penalty3.20 AM Assignment Period2.04PM Assignment Period3.03
10Slide11
Predicted & Observed
Boardings by Agency, AM & PM Peak Periods
11Slide12
Transfer Matrix, Predicted & Observed
Boardings & Alightings, AM-Peak
12Slide13
TTC Station Activity by Time of Day
13Slide14
TTC Station Activity by Time of Day
14Slide15
Screenlines – Auto Counts
15
SL
CCDRS
TTS Demand
SL Description
T1001 I
40,759
39,878
City West Boundary
T1001 O
34,014
32,085
City West Boundary
T1002 I
60,257
56,870
City North Boundary
T1002 O
40,130
33,910
City North Boundary
T1003 I
16,228
18,560
City East Boundary
T1003 O
6,075
5,577
City East Boundary
T1014 I
17,323
17,388
Central Area Cordon West
T1014 O
11,375
7,625
Central Area Cordon West
T1058 I
7,879
6,376
Central Area Cordon NorthT1058 O 4,336 2,427Central Area Cordon NorthT1035 I 16,831 16,175Central Area Cordon EastT1035 O 12,208 6,820Central Area Cordon EastSlide16
Surface Transit Speed Updating
High level objective: Develop a comprehensive model for the speed of transit vehicles which operate in mixed traffic. The calibration surface transit speeds will result in a model that more closely reflects
existing conditions on the streets.Current lack of calibration/adjustment of surface speeds has a number of impacts on the model:It is difficult to assess the impact of future traffic conditions on transit services.
Multimodal transportation planning is hindered without accurate
assessment
of transit performance.
Surface transit modes may appear artificially more attractive to trip-makers, skewing mode splits.
16Slide17
Surface Transit Speed Updating
Possible solutions:Segment level model for transit speeds, as a function of auto speeds, boardings, alightings
, and other factors as determined.Land-use level model for transit speeds, which are a function of planning-level factors (such as daily traffic volumes, area type, adjacent land use, other factors as determined)
Other?
17Slide18
Surface Transit Speed Updating
Preliminary literature review findings:Thus far, there has been no literature found that discussed surface speed updating in a large regional model, like V4.Tangentially, surface speed updating is related to transit speed modeling, surface speed reliability, and transit vehicle dwell time modelling
.Much of the work in surface speed updating is done via regression models.Feng et. al found bus speed was a function of: stop location, intersection delay, and traffic conditions (w.r.t time of day).
Kieu
et. al used multiple traffic data sources to relate bus speed and car speeds via a cross-validated regression model.
Florida DOT found a linear relationship between bus and auto travel times, during a range of time periods.
McKnight et. al had similar results to the above studies, but used proxies for traffic as time of day, or direction of travel.
Overall, very limited work done in the field.
18Slide19
V4.0 Workshop
Plan is to have a one-day workshop on GTAModel
V4.0.Originally projected for July.
July, however, will still be quite busy with City Modelling project & EJM will be away most of the month.
Is August a feasible target for the workshop or will too many people be away on vacation?
19Slide20
Thank you!
Next TAC Meeting: Wednesday, September 2, 2015, 10:00-12:0020