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Building Confidence in TFlowFuzzy. Trip Table Development, Validation and Application in Downtown Windsor. Outline. Study Overview Traditional Approach Trip Table Development with TFlowFuzzy Ways to Improve the Method Conclusions. Overview: City of Windsor.

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building confidence in tflowfuzzy

Building Confidence in TFlowFuzzy

Trip Table Development, Validation and Application in Downtown Windsor

outline
Outline
  • Study Overview
  • Traditional Approach
  • Trip Table Development with TFlowFuzzy
  • Ways to Improve the Method
  • Conclusions
overview city of windsor
Overview: City of Windsor
  • Located across the Detroit River from Detroit, Michigan
  • Population of 323,000 in 2006
  • Major auto manufacturing centre
  • Promoting tourism industry
    • Expansion of Casino Windsor
overview study area
Overview: Study Area

Tunnel to Detroit

Casino Windsor

Downtown Windsor

overview assignment
Overview: Assignment
  • To evaluate traffic implications of road network modifications
    • Road closures to facilitate Casino operations and expansion
    • One-way to two-way street conversions to improve accessibility and exposure to downtown businesses
traditional approach
Traditional Approach
  • Develop / utilize OD Table from survey, macro-level model, etc.
  • Assign to VISSIM network
  • Compare simulated volumes to observed traffic counts
  • Adjust trip table as required
  • Re-assign
traditional approach7
Not applicable in this case:

No Survey Data

No Macro-level Model

Need to create a trip table for VISSIM assignment to evaluate the impact of closing a road in the Casino area

Traditional Approach
reason for initial study
Reason for Initial Study
  • New hotel and entertainment complex under construction at time of study
  • Closing road proposed to facilitate valet parking and VIP entrance
tflowfuzzy model development
TFlowFuzzy: Model Development

41 zones

102 connectors

tflowfuzzy model development11
TFlowFuzzy: Model Development
  • Established base seed trip table
    • 25 trips between each major gateways pair
    • 12.5 trips between each minor gateways pair
    • 1 trip between internal zone pairs
    • 1 trips between gateways and internal zones
  • Adjusted seed trip table to ground counts with TFlowFuzzy
  • Assigned to network in VISUM and compared with ground counts
tflowfuzzy analysis results
TFlowFuzzy: Analysis Results

2%

0%

1%

0%

6% 0%

1% -1%

1% 2%

1%

2%

tflowfuzzy expanded area
TFlowFuzzy: Expanded Area
  • Initial results in small study area provided a reasonable correlation to observed conditions
  • Client asked for analysis of other proposed downtown road network changes
  • Network expanded to encompass other proposed changes
windsor road network and expanded downtown study area
Windsor Road Network and Expanded Downtown Study Area

Potential Road Closures

Potential Two-way Conversions

tflowfuzzy expanded area16
TFlowFuzzy: Expanded Area
  • Developed traffic zone system (98 zones)
  • For each zone, surface areas by land use type estimated from Google Earth and MS Virtual Earth
  • Applied ITE Trip rates to generate zone productions and attractions
  • Distributed trips using logit model with unitary coefficients
tflowfuzzy expanded area17
TFlowFuzzy: Expanded Area
  • Assigned initial trip table to network in VISUM
  • Applied TFlowFuzzy procedure
  • Assigned adjusted trip table to network in VISSIM
  • Compared simulated flows to observed values
  • Final trip table represents existing conditions
    • Base to which development traffic is added
tflowfuzzy analysis results18
TFlowFuzzy: Analysis Results

-1%

8%

8%

5%

5% 3%

-4%

9%

application of tflowfuzzy trip table
Application of TFlowFuzzy Trip Table
  • Trip table and site specific development traffic assigned to VISSIM network with road closures and two-way street conversions
    • Provided intersection levels-of-services throughout the network
    • Allowed for the evaluation of several network scenarios.
application of tflowfuzzy trip table20
Application of TFlowFuzzy Trip Table

Base Case – Existing One-way Network

application of tflowfuzzy trip table21
Application of TFlowFuzzy Trip Table

Alternative – Complete Two-way Network

way to improve method
Way to Improve Method
  • Refine trip generation and distribution method
    • Improve function for trip distribution
      • Consider gravity model
      • Review weightings of gateway zones
    • Refine trip generation through more detailed land use data
      • City records to obtain floor space or other statistics for land use if available
conclusions
Conclusions
  • Trip tables synthesized using TFlowFuzzy provided adequate correlation between observed and modelled conditions
  • Method provides reasonable approach when no survey data or macro-level model is available
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