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Challenges in Using Paramics in a Secondary Plan
Study – Case Study of Downsview, Toronto
Paramics Users Group Meeting
October 5, 2009
Overview
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•
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•
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Background
Existing Conditions
Future Traffic Demands
Future Model Scenarios
Challenges
Discussions
2
Study Background
• Secondary Plan Update involving:
 Land Use and Urban Design Plans
 Transportation Assessment
 Servicing
• Secondary Plan Update to harness a new subway line
that will run through the plan area.
• Paramics model used to develop and evaluate the
network alternatives and identify preferred option
3
Study Area Context - City of Toronto
4
Study Area / Issues
Future subway extension
to York University
Future intermodal station
5
Study Background - Issues
Opportunity/Constraint
Details
Physical Constraints
•Bombardier Runway
•North south CN Railway line
•Federal Parkland
Policy & Operational Constraints
•Existing roadways at capacity
•No widening of surrounding arterials
Planned Transportation
Improvements
•New subway line
•TransitCity- LRT line on Finch Avenue
•New intermodal station for Regional (GO
train) and subway line
6
Study Objectives
• Issues to be addressed by modelling
 Identify preferred network including lane requirements
 Sensitivity analysis on specific network elements
 Define timing/phasing of major (still underway)
• Paramics Scenarios:
 Existing Conditions
 Over 50 Future 2031 scenarios representing
alternative networks & land use permutations
7
Data Collection
• Signal timing data available for the focus area only
• Traffic volumes: - Turning movement counts (TMCs) at
major intersections
• Traversal matrices for 2006 and 2031 from the City’s
demand forecasting EMME model for AM peak hour
• Floating car measurements of travel time along
surrounding arterial sections
8
Study Area- Existing Network
Finch Ave.
Sheppard
Ave.
Area: 6km wide by 4 km
Sheppard Ave.
Total demand: 35,000
Vehicles in
system: 4-5,000
Focus Area
Wilson Ave.
9
Calibration and Validation
• Undertaken through volume comparisons at screenline,
link, intersection and turning movement levels;
• Stochastic assignment method used
• GEH statistic as well as % variation
• Acceptable results achieved as shown below
# Datasets
AM
PM
Link Volumes
146
86%
85%
Intersection Volumes
27
78%
63%
Screen Line
6
100%
100%
10
Future 2031 Traffic Demands
• Based on traversal matrix (AM) obtained from the City
• Minor adjustments as applied for existing conditions
• Trips from Downsview Park (Zone 98) replaced with trip
generated from considered land-use
• Adjustments for existing demands
• PM demands assessed from AM and trip generation
11
Background Traffic - EMME Zoning System
12
Recommended Land Use
• Five land use
scenarios
developed
• Three considered
in analysis
 Existing TMP
 Recommended
Population: 19,575
Employment: 22,029
Units: 9,841
GFA: 1.4m (m2)
13
Summary of Traffic Demands
Trip Generation
AM Peak Hour
PM Peak Hour
Land Use Scenario
In
Out
Total
In
Out
Total
Existing Plan
4,470
2,818
7,288
3,004
5,618
8,623
Recommended Land Use
5,205
3,360
8,565
3,514
6,508
10,022
Total Paramics Demands
Scenario
EMME Output
Generated
Final
Existing PM
36,992
-
36,992
PM 2031 – Existing Land Use
41,796
8,623
50,419
PM 2031 – New Land Use
41,796
10, 022
51,818
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Network Options
Emerging Preferred
15
Network Options – Preferred
16
Paramics Future Networks
TMP
Option 2
Option 3
Emerging Preferred
Paramics Future Network – Preferred
18
Measures of Performance – Intersection LOS PM
Intersection
TMP
Option 1
Option 2
Option 3
Preferred
Keele Street & Wilson Avenue
F
F
F
F
F
Sheppard Ave. & Keele Street
F
E
F
F
F
Finch Ave. & Keele Street
F
F
D
D
D
Dufferin Street & Wilson Avenue
D
D
D
D
E
Transit Road & Wilson Avenue
C
C
F
D
F
Wilson Heights Blvd & Wilson Avenue
C
C
D
D
C
Allen Road & Sheppard Avenue W
F
F
F
F
E
Transit Road & Allen Road
F
C
C
C
E
Finch Ave. & Allen Road
F
F
E
E
E
Sheppard Ave. & Wilson Heights Blvd
C
C
F
F
F
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Measures of Performance – Arterial LOS
Street
Dir
TMP
Option 1
Option 2
Option 3
Preferred
Keele (Wilson to
Finch)
NB
F
F
F
F
F
SB
F
F
F
F
F
NB
F
F
D
D
D
SB
D
D
C
C
C
EB
D
D
F
F
C
WB
D
D
E
D
E
EB
F
F
F
F
E
WB
F
F
F
F
F
EB
F
F
F
F
F
WB
E
E
F
E
E
Allen (Wilson to
Finch)
Finch (Keele to
Allen)
Sheppard (Keele to
Wilson Heights)
Wilson (Keele to
Wilson Heights)
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Measures of Performance
• LOS does bring out
significant differences
• Use of screen shots to
emphasize certain
operational aspects
• Use of network based
measures to better show
differences
Ave.
pard
Shep
Allen
Rd
.
Moderate queues
Tran
sit R
d
TMP Network with Ramps
e.
ard Av
Shepp
Extensive queues
Allen
R
d
Tran
sit R
d
Option 3 Network - Ramps not provided
21
Measures of Performance – Network Based
Average Network Speed
35.0
Average Speed [km/h]
30.0
25.0
20.0
AM
PM
15.0
10.0
5.0
0.0
Existing
TMP
Option 1
Option 2
Option 3
Preferred
Alternative
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Measures of Performance – Network Based
Accomodation of Future Growth
% Demand Accomodated
100%
90%
80%
AM
PM
70%
60%
50%
TMP
Option 1
Option 2
Option 3
Preferred
Alternative
This is measure of how much of the extra development demand could not be
loaded into the network based on output of Paramics release file
23
Measures of Performance – Video Clip
24
Lane Requirements – Based on Modelled Volumes
25
Sensitivity Analysis
• Allen Area Configuration – (A)
D
• Transit Road Extension – (B)
B
• Roadway Extension to Wilson
(C)
A
E
• E-W Roadway Extension to
Keele (D)
C
• Dufferin St. Extension (E)
26
Sensitivity Analysis
Area
Findings and Recommendation
A. Allen area
Alternative concepts developed, three feasible ones
recommended
B. Transit Road Extension
Extension should be maintained
C. Roadway Extension to
Wilson
Provide for improved traffic patterns, but could be
omitted
D. East-West to Keele
An important east west roadway that should have 4
lanes
E. Dufferin Street Extension
Provide for improved traffic patterns, but not critical
27
Challenges
• Policy constraints requiring no widening of arterial
networks made it difficult to develop road network
• Need to communicate study findings clearly to “nontechnical” persons necessitated use of unique
performance measures
• Need to satisfy all requirements resulted in modelling
many scenarios. This was worsened by the need to
communicate all findings in a way easily understood by
non technical persons
28
Discussions / Questions
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