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Traffic Engineering with VISUM. Modeling of Parking Lot Utilization, Walking & Gender Specific Travel Behavior at a University. Mike Hafner, PE and Sara Senger, TEC Engineering Inc.; Ed Hayes, PTP and Chetan Joshi, PTV America Inc. Outline . Data and network Transportation facility coding

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slide1

Traffic Engineering with VISUM

Modeling of Parking Lot Utilization, Walking & Gender Specific Travel Behavior at a University

Mike Hafner, PE and Sara Senger, TEC Engineering Inc.; Ed Hayes, PTP and Chetan Joshi, PTV America Inc.

outline
Outline
  • Data and network
    • Transportation facility coding
    • Transportation analysis zones
  • Evaluation and results
    • Private transport systems by time period throughout the day
    • Public transport sketch planning using TSys
  • Modeling of the university parking lots
    • Wandering algorithm…a way to evaluate ITS solutions and mimic parking behavior in a demand model
data and network overview
Data and Network: Overview
  • Roads and intersections coded by TEC and PTV
  • Special link and node types
  • Access to on-campus pedestrian from automobiles available only through parking facilities adjacent to campus
  • Portions of campus segregated from automobile travel
data and network taz
Data and Network: TAZ
  • Transportation analysis Zone definition
    • Small zones for discrete modeling of origin and destinations from individual buildings
data and network coding conventions
Data and Network: Coding Conventions
  • Development of walking and drive-walk demand using Python scripting process
  • Special network coding to allow for a transition from drive to walking in the university model
evaluation and results input and method
Evaluation and Results: Input and Method
  • Trip matrices broken down into hourly time periods during the school day
  • Distribution based on data available from survey
assignment
Assignment
  • Private transport assignment by time period throughout the
  • Public transport assignment by transport system for sketch Screenline Objects
parking lot demand
Parking Lot Demand
  • Problem: Drivers with imperfect knowledge search for parking spaces and increase local circulation around lots
  • Solution: Modeling of additional parking lot circulation using Python scripting
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