implementing the its archive data user service in portland, oregon robert l. bertini andrew m. byrd...
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Implementing the ITS Archive Data User Service in Portland, Oregon
Robert L. BertiniAndrew M. ByrdThareth YinPortland State UniversityIEEE 7th Annual Conference on Intelligent Transportation SystemsWashington D.C. October 4, 2004
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Objectives
Introduction to Data Archiving Project
National ITS Architecture and ADUS
Introduce PORTAL (Portland Transportation Archive Listing)
Describe Architecture
Describe Database Processing and Storage
Review Online Interface Features
Conclusions and Next Steps
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IntroductionGuiding Principles
“Management of the transportation system cannot be done without knowledge of its performance.”
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National ITS Architecture Major Components
Travel and Traffic Management Public Transportation Management Electronic Payment Commercial Vehicles Operations Emergency Management Advanced Vehicle Safety Systems Information Management Maintenance and Construction Management
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Overview: Relational Diagram of ITS Architecture
Source: Guidelines for Developing ITS Data Archiving Systems
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Archived Data User Service (ADUS) is BornITS Architecture 1999
USDOT Vision for ADUS: “Improve transportation decisions through the archiving and sharing of ITS generated data.”
Principles of ADUS to Achieve Vision All ITS deployments should consider data archiving Archive data to maximize integration with other data
sources and systems Archive data in a way that eases retrieval for those with
access Provide information that is integral to transportation practice
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Archived Data User Service (ADUS) is BornADUS Standards
Operational Data Control: by managing operations data integrity
Data Import and Verification: through historical data Automatic Data Historical Archive: with a permanent data
archive Data Warehouse Distribution: which integrates the planning,
safety, operations and research communities and processes data for these communities
ITS Community Interface: by providing a common interface to all ITS users for data products specification and retrieval
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Who Can Use Archived ITS DataStakeholders
Transportation Planning Transportation System Monitoring Air Quality Analysis MPO/State Freight and Intermodal Planning Land Use/Growth Management Planning Transportation Administrators and Policy Analysis Traffic Management Transit Management Construction and Maintenance Safety Planning and Administration Commercial Vehicle Operations Emergency Management Transportation Research Private Sector
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Data ResourcesPotential Archiving Applications
Traffic Surveillance
Fare/Toll Systems
Incident Management
Traffic Video
Environmental
CVO
Traffic Control
Highway/Rail
Emergency Response
ITSITSDataData
ArchivesArchives
ITSITSDataData
ArchivesArchives
Performance MonitoringNational reportingPerformance-based planningEvaluationsPublic Reactions
Long Range PlanningTRANSIMSIDASFour step modelsTransit routes
Operations PlanningIncident managementER deploymentSignal timingTransit service
Travel Time ForecastingCustomized route planningATIS Advisories
Other Stakeholder FunctionsSafetyLand useAir qualityMaintenance management
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ADUS Architecture:Implementing a Successful Data Archive
A Few Examples of Existing Systems California PeMS - only statewide system Puget Sound (WSDOT/TRAC) - started small and
successfully expanded San Antonio, TX TransGuide, Datalink system
Lessons Learned from Existing Systems Begin with a single data source Provide data through the web or CD subscription Create a user friendly interface Save raw data Make aggregate data available to users Implement data quality control measures Create adequate documentation of system and metadata
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PORTAL
Purpose:
Implement the U.S. National ITS Architecture’s Archived Data User Service for the Portland metropolitan region
Cooperation with Various Agencies–Oregon Department of Transportation–Metro (Portland’s regional planning agency)–The City of Portland–TriMet (Portland’s regional transit agency)
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PORTALPSU is the Designated Regional Archive Center Through regional cooperation,
Portland State University is the regional center for collecting, coordinating and disseminating variable sources of transportation data and derived performance measures.
Portland ITS data is warehoused at raw and aggregate levels.
An online user interface for extracting relevant performance measures in real time and historical data has been implemented.
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Portland’s Regional Infrastructure
77 CCTV Cameras 18 Variable Message Signs
(VMS) 436 Inductive Loop Detectors 118 Ramp Meters TriMet Automatic Vehicle
Location (AVL) System and Bus Dispatch System (BDS)
Extensive Fiber Optics Network
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Portland ADUSData Sources
Current Oregon Department of Transportation (ODOT)
Freeway loop detector data Incident data (future)
National Oceanic and Atmospheric Administration (NOAA) Weather data
Future Portland Metropolitan Transit Agency (Tri-Met)
Automatic vehicle location (AVL) poll data Bus dispatch system (BDS) data
City of Portland Traffic signal count/speed data
Washington State Department of Transportation (WSDOT) ODOT Weigh-in-motion data
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PORTAL ArchitectureData Flows
ODOTTMOC
Loop Controllers
Fiber
PSUADUSServer
Fiber
WebServer
TriM
et
WS
DO
T
City
of
Por
tlan
dFuture
BackupServer
Operations Planning PublicUser Classes
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PORTAL ArchitectureDatabase Back End/ Web Front End
Database Back End SQL relational database 200 MB per day of raw data 75 GB per year High capacity disk array 5 MB compressed for download
Off-site backup server Daily backups Uninterruptible power
Web-based interface Easily accessible User-friendly PHP language
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PORTALDatabase Processing and Storage
Raw Data Storage Useful for research Large data sets Previously difficult to manage and organize
20-second loop detector data collected Volume, Speed, and Occupancy collected indefinitely Transferred via fiber optic cable from ODOT TMOC to PSU
relational database
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PORTAL Database Processing and Storage
Data Aggregation 5 and 15 minute aggregates Performed on 20-second data every night at 3:00 am Data appended to a table for relevant month Flow, speed and occupancy characteristics retained VMT, VHT, travel time, delay added to 5-min and 1 hour
tables Useful for research and planning purposes
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PORTAL Data Fidelity
Quality Control
PORTAL uses Daily Statistics Algorithm (DSA) developed by the California PeMS database
DSA identifies and marks suspect or erroneous errorsof four types
Type 1: Occupancy and flow are mostly zeroType 2: Non-zero occupancy and zero flowType 3: Very high occupancyType 4: Constant occupancy and flow
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PORTALDatabase Processing and Storage
Users have the ability to: sample raw data store data permanently in accordance to their specifications use aggregate data at desired resolutions
Outputs onscreen table plotted on relevant graphs downloaded on comma separated value (CSV) format for
permanent offline storage
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Next StepsExpanding Archive Functionality
Data from: TriMet Washington State DOT City of Portland ODOT WIM Data
Additional processing tools and performance measures
Acknowledgments
National Science Foundation Oregon Department of Transportation City of Portland TriMet Portland State University Oregon Engineering and Technology
Industry Council
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FeedbackYour Opinions and Suggestions
Please let us know what you think about existing or future:
Data sources Performance measures Data visualizations and summaries
Contact us:
[email protected]://www.its.pdx.edu