- 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: Fare Process in 5.x Output example
- 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 and 146:
Deliverables Technical Memoranda
- Page 147:
Deliverables Workshops • Case for