- Page 1 and 2:
Transit Modeling Update presented t
- Page 3 and 4:
Transit Working Group Vidya Mysore,
- Page 5 and 6:
Project Overview On-Board Rider Sur
- Page 7 and 8:
Principles of Model Calibration and
- Page 9 and 10:
Case for the Project Workshop Pilot
- Page 11 and 12:
New PT Features in Cube Voyager 6.0
- Page 13 and 14:
Examples of Drive-Access Coding Aer
- Page 15 and 16:
Examples of Drive-Access Coding Net
- Page 17 and 18:
Drive-Access Generation in 5.x Hist
- Page 19 and 20:
Drive-Access Generation Examples in
- Page 21 and 22:
Drive-Access Generation Examples in
- Page 23 and 24:
Drive-Access Generation in 6.x Cube
- Page 25 and 26:
Enhanced Drive-Access Generation Ex
- Page 27 and 28:
Output Files by PT AUTOCON Process
- Page 29 and 30:
Enhanced Fares along with BestPathO
- Page 31 and 32:
Fare Process in 5.x Output example
- Page 33 and 34:
Enhanced Fare Process in 6.x Exampl
- Page 35 and 36:
Enhanced Fare Process in 6.x Exampl
- Page 37 and 38:
Enhanced Transit Line Keywords in 6
- Page 39 and 40:
Enhanced Transit Line Keywords in 6
- Page 41 and 42:
Enhanced Transit Line Keywords in 6
- Page 43 and 44:
Transit Modeling Update TRIP MARKET
- Page 45 and 46:
Proposed New Trip Purposes HB Colle
- Page 47 and 48:
Proposed New Trip Purposes NHB Work
- Page 49 and 50:
Key Travel Market Attributes Model
- Page 51 and 52:
Key Travel Market Attributes FTA Re
- Page 53 and 54:
Building the Household Classificati
- Page 55 and 56:
Building the Household Classificati
- Page 57 and 58:
Household Workers Classification Mo
- Page 59 and 60:
Transit Modeling Update AUTO OWNERS
- Page 61 and 62:
Proposed Auto Ownership Model Multi
- Page 63 and 64:
Mixed Household / Employment Densit
- Page 65 and 66:
Sample Auto Ownership Coefficients
- Page 67 and 68:
Trip Production Model Home-Based Wo
- Page 69 and 70:
Transit Modeling Update TRIP ATTRAC
- Page 71 and 72:
Trip Attraction Model Linear regres
- Page 73 and 74:
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 and 126: Logit Model Curve 1 Auto Probabilit
- Page 127 and 128: Coordinating DC and MC Calibration
- 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: Deliverables Technical Memoranda