Transit Modeling Guidance by Rosella Picado and ... - FSUTMSOnline

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Proposed Nesting Coefficients 0.7 0.7 0.5 0.5
Coordinating DC <strong>and</strong> MC Calibration If confident of soundness of mode choice model, use logsums ‘as is’ for destination choice estimation calibrate Person Trips Destination Choice Mode Choice Logsums calibrate If confident of soundness of person trip tables, start <strong>by</strong> calibrating mode choice
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Transit Modeling Update presented t
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Transit Working Group Vidya Mysore,
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Project Overview On-Board Rider Sur
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Principles of Model Calibration and
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Case for the Project Workshop Pilot
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New PT Features in Cube Voyager 6.0
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Examples of Drive-Access Coding Aer
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Examples of Drive-Access Coding Net
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Drive-Access Generation in 5.x Hist
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Drive-Access Generation Examples in
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Drive-Access Generation Examples in
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Drive-Access Generation in 6.x Cube
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Enhanced Drive-Access Generation Ex
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Output Files by PT AUTOCON Process
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Enhanced Fares along with BestPathO
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Fare Process in 5.x Output example
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Enhanced Fare Process in 6.x Exampl
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Enhanced Fare Process in 6.x Exampl
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Enhanced Transit Line Keywords in 6
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Page 43 and 44:
Transit Modeling Update TRIP MARKET
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Proposed New Trip Purposes HB Colle
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Proposed New Trip Purposes NHB Work
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Key Travel Market Attributes Model
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Key Travel Market Attributes FTA Re
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Building the Household Classificati
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Building the Household Classificati
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Household Workers Classification Mo
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Transit Modeling Update AUTO OWNERS
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Proposed Auto Ownership Model Multi
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Mixed Household / Employment Densit
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Sample Auto Ownership Coefficients
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Trip Production Model Home-Based Wo
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Transit Modeling Update TRIP ATTRAC
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Trip Attraction Model Linear regres
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Transit Modeling Update SPECIAL TRI
Page 75 and 76: Example 1: Portland Air Passenger T
Page 77 and 78: Transit Modeling Update TIME OF DAY
Page 79 and 80: FSUTMS Approach to Time of Day Effe
Page 81 and 82: Implications for other model compon
Page 83 and 84: FSUTMS Diurnal Factors Developed fr
Page 85 and 86: Travel Time Feedback: Why? Ensure c
Page 87 and 88: Transit Modeling Update TRIP DISTRI
Page 89 and 90: Destination Choice Advantages Sensi
Page 91 and 92: Destination Choice Model Multinomia
Page 93 and 94: Trip Market Stratification At least
Page 95 and 96: Attraction Balancing Whether to sha
Page 97 and 98: Destination Choice Estimation Requi
Page 99 and 100: Destination Choice Estimation Sampl
Page 101 and 102: Destination Choice Estimation Size
Page 103 and 104: Destination Choice The mode choice
Page 105 and 106: Transit Modeling Update TRANSIT NET
Page 107 and 108: Good transit coding practices … R
Page 109 and 110: Good transit coding practices … R
Page 111 and 112: Transit network coding Access Conne
Page 113 and 114: Path building and skimming Path Bui
Page 115 and 116: Transit Modeling Update MODE CHOICE
Page 117 and 118: Trip market segmentation Household
Page 119 and 120: Tier B/C Cities Mode Choice Nesting
Page 121 and 122: FSUTMS Nesting Coefficients 0.8 0.5
Page 123 and 124: Nested Logit Model: How? Choice Aut
Page 125: Logit Model Curve 1 Auto Probabilit
Page 129 and 130: Trip Generation EE Trips Visitor &
Page 131 and 132: Build Hwy Networks & Skims Build Pe
Page 133 and 134: Trip Generation EE Trips HH Classif
Page 135 and 136: Travel time feedback
Page 137 and 138: Trip Distribution Destination choic
Page 139 and 140: Model Inputs: What’s New? Zonal D
Page 141 and 142: Model Parameters: What’s New? Pea
Page 143 and 144: Catalog Keys: What’s New? Auto oc
Page 145 and 146: Deliverables Technical Memoranda
Page 147: Deliverables Workshops • Case for
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Transit Modeling Guidance by Rosella Picado and ... - FSUTMSOnline

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