Urban Transportation System Planning(UTSP) Virtual Lab(Desktop version)

Debabrata Tripathydebabratatripathy@iitb.ac.in

Transportation Systems Engineering,Department of Civil Engineering,

Indian Institute of Technology, Bombay

September 27, 2012

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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Objective

To develop an open platform for Urban Transportation SystemPlanning (UTSP) through which individuals can practically learnas 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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Scope of work

• Understanding the various concepts involved in UTSP.

• Going through the work-flow of other transportationplanning softwares like CUBE, Aimsun, PTV Visum,TRANSIMS, TRACKS and DynusT.

• Analysing and coding the various concepts pertaining tovarious stages of Four Stage Model (FSM).

• Better user interaction and graphical representationallowing users to add their own concepts and understandthem visually.

• Hypothetical data preparation for the experiments.

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The four stage model

..Zone network.Base Year . Forecasting Year.

Data storage

.

Trip generation

.

Model split

.

Distribution

.

Assignment

.

Evaluation

.

Land use allocation

.

Travel Survey,zone network

.

Trip Ends By Mode

.

Route Assignment By Mode

.

Zonal trip ends

.

OD Volume By Mode

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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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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 UserEquilibrium

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Other Existing Transportation Planning Softwares

Aim

• To understand the work-flow and methodology being usedin other transportation planning software available andincorporating their best practices into the UTSP virtual labplatform.

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CUBE

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Aimsun

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PTV Visum

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TRANSIMS

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TRACKS

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DynusT

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Basic work flow of existing Transportation PlanningSoftwares

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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Basic work flow of existing Transportation PlanningSoftwares

• script engine to automate the set of task

• various converter for communication with transportations/w

• help system

• support extension to add individual to add their ownmodule.

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UTSP Virtual Lab Interface

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UTSP Virtual Lab Interface

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Technology Selection

User perspective

• It should employ a user-friendly GUI (Graphical UserInterface.)

• It should be easily extendible (for adding model) andmaintainable.

• It should be designed for wider distribution over variouscomputational platforms.

• It should come along with a help/tutorial system which canexplain concepts in a user friendly manner.

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Technology Selection(Contd.)

Developer perspective

• The selected framework should well established in thetechnology industry as well as built in User interfacemanagement (e.g. menus and tool bars), Windowmanagement, Storage management (saving and loadingany 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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Technology Selection(Contd.)

Selected Platform

• Programming Language: Java• Application Framework: Java standard Library, Netbeans

API• IDE: Netbeans

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Tutorial of UTSP Virtual Lab

..

Hands on Experience.

Hands on Experience.

Hands on Experience.

Hands on Experience.

Hands on Experience.

Hands on Experience

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Future Works

• Documenting the operational manual for the implementedexperiments.

• checking the robustness of the interface to handle realworld data.

• Adding GIS package and script engine to the interface.

• Receiving feedback from students for improving theexperiment.

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..

Questions & Comments.

Questions & Comments.

Questions & Comments.

Questions & Comments.

Questions & Comments.

Questions & Comments

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..

Thank You!.

Thank You!.

Thank You!.

Thank You!.

Thank You!.

Thank You!

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