Citilabs Voyager Update by Mike Clarke and ... - FSUTMSOnline

Cube Update
presented to
Florida Model Task Force
presented by
Michael Clarke and Matthew Martimo
November 9, 2009

New Features in Cube 5
New Features of Cube Base
• Available
• Integrated ESRI spatial functions within the model work stream
(Buffer, Union, Intersect…)
• Full support of ESRI-supported data formats including Bing Maps
• Python Scripts as part of the Modeling Flow
• Previously Released
• Cube GIS Window
− GIS-based network
− Direct sharing of data between
ESRI products and Cube
− Work environment is similar to ArcGIS
− On-the-fly projection
• Wizard for adding user programs
• Multiple model applier types

New Features in Cube 5
Cube GIS
Based on ArcObjects from ArcGIS
Engine
Provides enhanced GIS capabilities to
Cube users
Stores data in geodatabase format
• 5.0- Personal geodatabase (MDB)
• 5.1- File-based (GDB) and SDE personal
and enterprise geodatabases (mySQL,
SQL, Oracle …)
Provides geo-processing functions
based on ESRI Technology

Cube GIS Window
High-Quality Mapping Using ESRI MXD Files
Our Products: Cube

New Features of Cube Voyager
Major New Features of Cube Voyager
Available in 5.1:
Geodatabase Read/Write updated for File-based (GDB) and SDE personal and enterprise
geodatabases (mySQL, SQL, Oracle …)
Multi-Dimensional Arrays
New methods of highway assignment
• Conjugate and Bi-Conjugate Frank-Wolfe
• Gradient Projection
• Stochastic
Previously Released
Geodatabase Read/Write – personal geodatabase (MDB)
PT select link
PT ‘mustusemode’ and ‘bestpathonly’ for FTA “New Starts” Analysis

Convergence of Traffic Assignments:
How Much is Enough?
Tampa Bay Model defaults to Relative Gap of 0.01
SERPM Model defaults yield a Relative Gap of 0.005
“A Relative Gap of 0.0001 is required to assure that the
assignment is sufficiently converged to achieve stable link flows.”
(Boyce, et al., 2004)
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Link Variance Example
Chicago Sketch Network:
387 zones
Capacity on link
492-493
reduced by half
(6500 to 3250)
Relative Gap =0.0005
= 0.001 0.0001 0.005 (SERPM Default)

Research into new methods
Existing: Frank-Wolfe Algorithm

Bi-Conjugate Assignment
Good Features – Provides all the Capabilities Available Today
• Consistent with the existing practice including the Full
functionality provided by the traditional FW assignment
• Multiple user classes, Turning penalties, Junction Modeling
• Select link and/or zone analysis
• Distributed computing, Etc.
• Maintains ‘proportionality’
No need to modify anything (network, input data etc.)
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Path-based Assignment Algorithms
Feasibility
• The memory restriction for tracking the paths has been relaxed
considerably in recent years due to rapid advances in computing
environment
Advantages
• Fastest convergence to high accuracy
• Unique Link Flow Solution
Disadvantages
• Does not maintain proportionality assumptions
• Select Link, Select Zone not applicable
• Turning Movements are not correct
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Proportionality
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Regardless of the original origin and final
destination, the flows over any selected set of
paired segments should be consistently
proportional.
Critical, if you need to analyze who uses
facilities – their origins and destinations
(select link) or which zones contribute to the
flow (select zone).
Link-based methods are proportional.
Origin and Path-based methods are NOT
(OBA, Algorithm B, TAPAS…).
Link flows and speeds are the same in both.

Proportionality by Algorithm Type
11 Taken from “Practical Implications of Finding Consistent Route Flows”
by Hillel Bar-Gera, et al.

Scripting the New Assignment Algorithms
Conjugate and Bi-Conjugate
Parameters Combine = EQUI, Enhance = #
• Enhance keyword options
− Frank Wolf:
− Conjugate:
− Bi-Conjugate:
Enhance=0
Enhance=1
Enhance=2
Path-Based Equilibrium – Select Link/Zone Disabled
Parameters Combine=PATH
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New Empirical Studies
Computing Platform
• 64 bit Intel Platform with Vista 64
• Two Xeon E5335 2GHz Quad Core Processors
• 8GB of RAM
Chicago Regional Network
• 1790 Zones
• 12982 Nodes
• 39018 Links
• 1360427.88 Total OD Flow
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*The Origin-based Algorithm (OBA) adopted here is from Hillel Bar-Gera
http://www.openchannelsoftware.org/projects/Origin-Based_Assignment/

SERPM 24 Hr Assignment Results

New Features of Cube Avenue
New Features Available in Cube Avenue (5.1)
Packet allocation
Incremental time-segments allows
early time segments to converge
before simulating later time
segments (100 Iter. to 20 Iter.)
Simulation Pause and Restart
These new features greatly reduce
run-time and memory consumption

Key Methodologies in Cube
New Activity Model Application
•Script of full-activity model within Cube Voyager
•Based on methodology of Sacramento and SF County
•Developed by Mark Bradley, Ken Vaughn and Victor Siu
•Used directly for small and mid-sized urban areas
•Increase segmentation in larger areas
•Will be posted on the user-group web-site for download this winter

Key technologies in the ‘Labs
Cube Land
integrated transport-land use modeling
Innovation in land use pricing—via
auction/bidding theory
Evaluate impact of land use change on
transport system and transport system
change on land use
Integrates directly with Cube Voyager
Forecasts land rent/prices to better
evaluate development pressures
Forecasts households by type and
employment by type by TAZ

Moving to Enterprise
‘Beyond Cube 5’

Moving to Enterprise
What is Enterprise?
• Data stored in an ESRI-compliant geo-database format
• Uses market leading databases: Oracle…etc.
• Able to store and manage huge amounts of data
• Cube portion of the database has transportation-specific ‘rules’
(topology rules) using Citilabs data model

Moving to Enterprise
Why Enterprise?
• Common data storage center:
• You contribute your model results to the enterprise geodatabase
• Others contribute their data to the enterprise geodatabase
• Use data directly in the models from the database
• Incorporate model results with other governmental systems
(permitting…)
• Take advantage of ‘future data’ in the models more easily: GPS data…

Our Products
Access modeling data from three portals
Cube - Desktop Professional Modeling
a comprehensive suite for passenger, freight, land use, and traffic simulation
Mint - Modeling on the Internet
web-based modeling platform for collaborative planning
Sugar - Modeling Extensions for ArcGIS
modeling and analysis tools for non-modelers

Why move modeling to the internet?
Phases
MPO/County Modeler
Consultants
MPO/County Planners
Partner agencies
Consultants
Assign Clients with Rights
MPO Director
Interest Groups
General Public
Development Application Analysis
Today
Desktop
Desktop
Desktop
Tomorrow
Internet Internet Internet
Priorities 3 1 2
Elements
• Network development
• Demographics
• Edit scripts
• Re-organize
• Add features
• Entire models
• Cloud-computing environment
- no local high speed machines
- unlimited resources
- no software licensing; move
to a software-as-a-service
monthly subscription
• Shared access to the models
• Collaborative application
- local agencies
- federal agencies
- consultants
• Provide access for non-modelers
• Become a ‘transportation info.
system’
• Use the results ‘themselves’
• User friendly environment for
- analysis and comparisons
- mapping and charting
• Ability to publish the results to
‘everyone’

Primary Benefits
• Internet: movement from a desktop-bound, ‘locked’ environment to an internetbased,
‘open’, sharable, ‘work from anywhere/anytime’ environment
• Community Resource: model application and planning analysis done by nonexperts
using common web-browsers moving models to an active role in
collaborative transportation planning
• Cloud-Computing: placement of the models, data and software in a cloudcomputing
environment lowering hardware costs locally while providing ‘unlimited’
high-spec resources
• Lower costs for the user: movement from locally licensed desktops to a software
as a service model. Monthly subscription business model allowing many to use the
model at low, or even, no cost
• Lessens IT complexity: much of the IT burden of modeling is shifted from the user
to the vendor
• Data and Software Integration: easier to integrate with external systems:
development reviews, regional air quality analysis, pavement maintenance systems,
traffic and transit ITS systems and to receive and use data from data probes,
detectors and static data sources

Areas in Beta Test
Valley Transportation Authority, San Jose
Houston, Texas MPO
Minneapolis, Minnesota MPO
Cincinnati, Ohio MPO
City of Leesburg, Virginia
Christchurch, New Zealand
Brisbane, Australia
Manila, Philippines
Dutch Government regional models

VTA Home Page

Our Products: Sugar
Sugar: Modeling Extensions for ArcGIS
Available Now
In Development
Available Q1 2010

Sugar Example: Sugar Network Editor
Our Products: Sugar

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Sugar Example: Sugar Signal

Work-Flow: Cube, Mint, Sugar

Thank you!