Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Utsp virtual lab (desktop version)
1. Urban Transportation System Planning
(UTSP) Virtual Lab
(Desktop version)
Debabrata Tripathy
debabratatripathy@iitb.ac.in
Transportation Systems Engineering,
Department of Civil Engineering,
Indian Institute of Technology, Bombay
September 27, 2012
2. Outline
• Objective
• Scope of work
• The four-stage model
• Other Existing Transportation Planning Software’s
• Technology Selection
• Tutorial of UTSP Virtual Lab
• Future Works
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3. Objective
To develop an open platform for Urban Transportation System
Planning (UTSP) through which individuals can practically learn
as well as add the various models such as classic four stage,
activity-based, discrete choice, dynamic traffic assignment etc.
involved in UTSP in an informative and user friendly way.
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4. Scope of work
• Understanding the various concepts involved in UTSP.
• Going through the work-flow of other transportation
planning softwares like CUBE, Aimsun, PTV Visum,
TRANSIMS, TRACKS and DynusT.
• Analysing and coding the various concepts pertaining to
various stages of Four Stage Model (FSM).
• Better user interaction and graphical representation
allowing users to add their own concepts and understand
them visually.
• Hypothetical data preparation for the experiments.
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5. The four stage model
Base Year .
Zone network Forecasting Year
Data storage
Land use allocation
Trip generation
Zonal trip ends
Travel Survey, Model split
zone network
Trip Ends By Mode
Distribution
OD Volume By Mode
Assignment
Route Assignment By Mode
Evaluation
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6. The classic four stage model(Contd.)
Trip Generation
• Convert land use allocation data to trip table (PA matrix)
• Regression Analysis, Category Analysis
Mode split
•
•
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7. The classic four stage model(Contd.)
Trip Distribution
• convert trip table to OD matrix
• Growth Factor Model, Furness Method, Gravity model
Trip Assignment
• Assign OD matrix to link (Router)
• All or Nothing (AON) Assignment, User Equilibrium
Assignment, System Optimal assignment,Stochastic User
Equilibrium
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8. Other Existing Transportation Planning Softwares
Aim
• To understand the work-flow and methodology being used
in other transportation planning software available and
incorporating their best practices into the UTSP virtual lab
platform.
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15. Basic work flow of existing Transportation Planning
Softwares
User Interface
• Visualisation of project structure
• Table/matrix visualiser
• chart visualiser
• GIS visualisation for network data
Data format
• csv/excel format
• GIS data
• Application specific data format similar to csv
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16. Basic work flow of existing Transportation Planning
Softwares
• script engine to automate the set of task
• various converter for communication with transportation
s/w
• help system
• support extension to add individual to add their own
module.
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19. Technology Selection
User perspective
• It should employ a user-friendly GUI (Graphical User
Interface.)
• It should be easily extendible (for adding model) and
maintainable.
• It should be designed for wider distribution over various
computational platforms.
• It should come along with a help/tutorial system which can
explain concepts in a user friendly manner.
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20. Technology Selection(Contd.)
Developer perspective
• The selected framework should well established in the
technology industry as well as built in User interface
management (e.g. menus and tool bars), Window
management, Storage management (saving and loading
any kind of data), Wizard framework, Modular Architecture,
Remote deployment features.
• To easily integrate 3rd party application
• A good IDE with an efficient build system, a graphical
debugger and GUI designer tool kit.
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23. Future Works
• Documenting the operational manual for the implemented
experiments.
• checking the robustness of the interface to handle real
world data.
• Adding GIS package and script engine to the interface.
• Receiving feedback from students for improving the
experiment.
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