1 Lessons From Developing an Archived Data User Service: Who Is Using It? Lessons from Developing an Archived Data User Service in Portland, Oregon: Who

1Lessons From Developing an Archived Data User Service: Who Is Using It?Lessons From Developing an Archived Data User Service: Who Is Using It?

Lessons from Developing an Archived Lessons from Developing an Archived Data User Service in Portland, Oregon: Data User Service in Portland, Oregon:

Who Is Using It?Who Is Using It?

Linking Archived Data User Service, Performance Linking Archived Data User Service, Performance Measures, and Freeway Operations to Improve MobilityMeasures, and Freeway Operations to Improve Mobility

Transportation Research Board Annual MeetingTransportation Research Board Annual MeetingJanuary 21, 2007January 21, 2007

Robert L. BertiniRobert L. Bertini


OutlineOutlineOutlineOutline

About PORTALAbout PORTAL User Survey User Survey ResultsResults

Some Success Some Success StoriesStories

About PORTALAbout PORTAL User Survey User Survey ResultsResults

Some Success Some Success StoriesStories


What’s in the PORTAL Database?What’s in the PORTAL Database?What’s in the PORTAL Database?What’s in the PORTAL Database?

Loop Detector DataLoop Detector Data20 s count, lane occupancy, speed from 20 s count, lane occupancy, speed from

500 detectors (1.2 mi spacing) 500 detectors (1.2 mi spacing)

Incident DataIncident Data140,000 since 1999140,000 since 1999

Weather DataWeather Data VMS DataVMS Data19 VMS since 199919 VMS since 1999

Data ArchiveData Archive

DaysDaysSince July 2004Since July 2004About 300 GBAbout 300 GB


PORTAL and Regional FactsPORTAL and Regional FactsPORTAL and Regional FactsPORTAL and Regional Facts

PORTALPORTAL SQL relational databaseSQL relational database 200 MB/day, 75 GB per year200 MB/day, 75 GB per year

Regional InfrastructureRegional Infrastructure 98 CCTV Cameras98 CCTV Cameras 138 Ramp Meters138 Ramp Meters TriMet Automatic Vehicle Location TriMet Automatic Vehicle Location

(AVL) System and Bus Dispatch (AVL) System and Bus Dispatch System (BDS)System (BDS)

Extensive fiber optics networkExtensive fiber optics network Bi-state regionBi-state region Regional ITS Committee: TransPortRegional ITS Committee: TransPort Data sharing philosophyData sharing philosophy Gigabit ethernet/private ITS networkGigabit ethernet/private ITS network PSU official data archive entityPSU official data archive entity


Performance Measures UsedPerformance Measures UsedPerformance Measures UsedPerformance Measures Used

VolumeVolumeSpeedSpeedOccupancyOccupancyVehicle Miles TraveledVehicle Miles TraveledVehicle Hours TraveledVehicle Hours TraveledTravel TimeTravel TimeDelayDelay


Contour Plots - SpeedContour Plots - SpeedContour Plots - SpeedContour Plots - Speed


Weather PopupWeather PopupWeather PopupWeather Popup


Data Quality PopupData Quality PopupData Quality PopupData Quality Popup


Data Quality PopupData Quality PopupData Quality PopupData Quality Popup


Time Series - VolumeTime Series - VolumeTime Series - VolumeTime Series - Volume


Grouped Data – Travel TimeGrouped Data – Travel TimeGrouped Data – Travel TimeGrouped Data – Travel Time


Performance Report - ReliabilityPerformance Report - ReliabilityPerformance Report - ReliabilityPerformance Report - Reliability


Monthly ReportMonthly ReportMonthly ReportMonthly Report


Daily DashboardDaily DashboardDaily DashboardDaily Dashboard


Incident ReportsIncident ReportsIncident ReportsIncident Reports

Incident on NB I-205, log truck rear-ended a nursery truck, two cars also involved, duration over 4 hours.

11/15/2005 Northbound I-205

Incident on SB I-205, NB effects visible


Monthly Incident ReportsMonthly Incident ReportsMonthly Incident ReportsMonthly Incident Reports


Mapping – Speed By MonthMapping – Speed By MonthMapping – Speed By MonthMapping – Speed By Month

Average Evening Peak Speed (5-6 pm)

July 2005 December 2005


Mapping – Speed SubtractionMapping – Speed SubtractionMapping – Speed SubtractionMapping – Speed Subtraction

Average Evening Peak Speed (5-6 pm)

Difference July-December 2005


Bivariate PlotsBivariate PlotsBivariate PlotsBivariate Plots


Data Quality ReportsData Quality ReportsData Quality ReportsData Quality Reports

Stations Reporting (June 2006 weekdays): No Traffic (all lanes) > 20% of Samples Communications Failure > 15% of Samples


Google TrafficGoogle TrafficGoogle TrafficGoogle Traffic


Bus Data Bus Data Arterials ArterialsBus Data Bus Data Arterials Arterials


PORTAL User SurveyPORTAL User SurveyPORTAL User SurveyPORTAL User Survey

Emailed 189 usersEmailed 189 users Total of 40 responses (21%)Total of 40 responses (21%) Assess overall user satisfaction and learn how PORTAL’s Assess overall user satisfaction and learn how PORTAL’s

constituents are using the systemconstituents are using the system

Emailed 189 usersEmailed 189 users Total of 40 responses (21%)Total of 40 responses (21%) Assess overall user satisfaction and learn how PORTAL’s Assess overall user satisfaction and learn how PORTAL’s

constituents are using the systemconstituents are using the system


What Kind of User Do You Consider Yourself

Academic (Researcher or

Student)32%

Engineering16%

Operations23%

Planning10%

Policy3%

Other16%

User TypesUser TypesUser TypesUser Types


Employer TypeEmployer TypeEmployer TypeEmployer Type

University30%

Private/consulting firm29%

Regional or local agency

19%

State agency13%

Federal agency6%

Other3%


Use FrequencyUse FrequencyUse FrequencyUse FrequencyHow Often Do You Use PORTAL as a Tool?

Only on special occasions

58%

Yearly3%

Monthly13%

Weekly13%

Daily0%

Never3%

Other10%


Ease of UseEase of UseEase of UseEase of UseHow Do You Find PORTAL's User I nterface

Easy39%

Neither Easy Nor Difficult

23%

Difficult23%

Very Difficult3% Very Easy

6%

Not Applicable6%


Which Tabs Do You UseWhich Tabs Do You UseWhich Tabs Do You UseWhich Tabs Do You Use

54%38%

24%32%

41%35%

32%14%

51%14%

8%19%

41%3%

5%

0% 10% 20% 30% 40% 50% 60%

Timeseries

Data Fidelity

Monthly Data

Performance

Congestion

Bivariate Plots

Incident Reports

Other


Examples?Examples?Examples?Examples?

PORTAL Use Examples

No, not at this time79%

Yes I do!21%


Future ExtensionsFuture ExtensionsFuture ExtensionsFuture Extensions

0% 10% 20% 30% 40% 50% 60% 70%

Freeway variable message sign data

Arterial performance data

Transit performance data

Washington DOT freeway data

ODOT Weigh In Motion Data

Freeway vehicle classification data

Pre-2004 freeway data (15 minaggregation)

12345


Demo RequestDemo RequestDemo RequestDemo RequestWould You Like a Demo?

No90%

Yes10%


Some Success StoriesSome Success StoriesSome Success StoriesSome Success Stories• The incident reports provided within PORTAL are designed to give traffic operations mangers The incident reports provided within PORTAL are designed to give traffic operations mangers

the tools to examine how their assignment of incident response resources matches the incident the tools to examine how their assignment of incident response resources matches the incident rates in the field. For example the automated incident report provides the average number of rates in the field. For example the automated incident report provides the average number of ongoing incidents by time of day which can be compared to the number of response personnel. ongoing incidents by time of day which can be compared to the number of response personnel. PORTAL is also a tool for evaluating the ramp metering system (currently 138 ramps are PORTAL is also a tool for evaluating the ramp metering system (currently 138 ramps are metered using a systemwide adaptive control system), and by providing easy access to ramp metered using a systemwide adaptive control system), and by providing easy access to ramp counts and mainline speeds, ODOT has used PORTAL to assist in management of the ramp counts and mainline speeds, ODOT has used PORTAL to assist in management of the ramp metering system. ODOT also uses PORTAL to improve its use of the loop detectors to estimate metering system. ODOT also uses PORTAL to improve its use of the loop detectors to estimate freeway travel times. Finally, the FHWA, ODOT and Metro (the regional planning organization) freeway travel times. Finally, the FHWA, ODOT and Metro (the regional planning organization) are using PORTAL to improve the Portland congestion management program.are using PORTAL to improve the Portland congestion management program.

• As show in Figure 2, PORTAL is being used to monitor freeway performance over As show in Figure 2, PORTAL is being used to monitor freeway performance over time. Metro has developed the map shown to compare freeway speeds in May 2006 versus May time. Metro has developed the map shown to compare freeway speeds in May 2006 versus May 2005. As shown by the colors, on some segments speeds are higher, while on others speeds are 2005. As shown by the colors, on some segments speeds are higher, while on others speeds are lower. In addition, Metro and ODOT have used PORTAL to assess the impact of construction on a lower. In addition, Metro and ODOT have used PORTAL to assess the impact of construction on a major freeway corridor. Figure 3 illustrates how speed on the eastbound Sunset Highway major freeway corridor. Figure 3 illustrates how speed on the eastbound Sunset Highway changed between 2004, when construction was active and 2005, when it was complete. Note changed between 2004, when construction was active and 2005, when it was complete. Note that each speed curve follows the same basic pattern—slow during the morning peak and that each speed curve follows the same basic pattern—slow during the morning peak and slightly slow during the evening peak—but that the speeds are lower in 2004 than they were in slightly slow during the evening peak—but that the speeds are lower in 2004 than they were in 2005.2005.

• Portland is known for its rainy weather, and Metro has used the PORTAL system to Portland is known for its rainy weather, and Metro has used the PORTAL system to suggest that the wet months witness more congestion than other times of the year. Figure 4 suggest that the wet months witness more congestion than other times of the year. Figure 4 shows that the months with the highest rainfall also witness the most congestion. The total shows that the months with the highest rainfall also witness the most congestion. The total monthly rainfall is shown in columns while the occurrence of congestion (average amount of monthly rainfall is shown in columns while the occurrence of congestion (average amount of time per day when congestion is present) is illustrated by the line. The final paper will provide time per day when congestion is present) is illustrated by the line. The final paper will provide other specific examples provided by PORTAL survey respondents, as well as recommendations other specific examples provided by PORTAL survey respondents, as well as recommendations for next steps that can be extended to developers of ITS data archives in other cities.for next steps that can be extended to developers of ITS data archives in other cities.


Some Success StoriesSome Success StoriesSome Success StoriesSome Success Stories

Data QualityData Quality Ramp Metering Ramp Metering Incident ManagementIncident Management Freeway Travel TimeFreeway Travel Time Regional ITSRegional ITS

Data QualityData Quality Ramp Metering Ramp Metering Incident ManagementIncident Management Freeway Travel TimeFreeway Travel Time Regional ITSRegional ITS


Communications BottleneckCommunications BottleneckCommunications BottleneckCommunications Bottleneck

Data quality tab is aimed at Data quality tab is aimed at improving the quality of the loop improving the quality of the loop detector data that forms the core detector data that forms the core of the system. of the system.

PORTAL has helped ODOT identify PORTAL has helped ODOT identify a communications issue that was a communications issue that was creating a bottleneck in the data creating a bottleneck in the data transmissiontransmission

Installation of new fiber optics Installation of new fiber optics switching equipment. switching equipment.

By providing a “top ten” detector By providing a “top ten” detector error report PORTAL helps ODOT error report PORTAL helps ODOT prioritize field personnel to target prioritize field personnel to target the “worst” detectors and get the “worst” detectors and get them repaired. them repaired.

Data quality tab is aimed at Data quality tab is aimed at improving the quality of the loop improving the quality of the loop detector data that forms the core detector data that forms the core of the system. of the system.

PORTAL has helped ODOT identify PORTAL has helped ODOT identify a communications issue that was a communications issue that was creating a bottleneck in the data creating a bottleneck in the data transmissiontransmission

Installation of new fiber optics Installation of new fiber optics switching equipment. switching equipment.

By providing a “top ten” detector By providing a “top ten” detector error report PORTAL helps ODOT error report PORTAL helps ODOT prioritize field personnel to target prioritize field personnel to target the “worst” detectors and get the “worst” detectors and get them repaired. them repaired.

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Number of Samples Failing Selected Conditions; Jan-June 2006; I-5


Ramp Metering System EvaluationRamp Metering System EvaluationRamp Metering System EvaluationRamp Metering System Evaluation

ODOT uses 15 min ramp data to ODOT uses 15 min ramp data to assist with new metering systemassist with new metering system

A system wide ramp metering A system wide ramp metering (SWARM) system is being (SWARM) system is being implemented in the Portland implemented in the Portland metropolitan area.metropolitan area.

This study entails a before and This study entails a before and after evaluation of the operational after evaluation of the operational benefits of the new SWARM systembenefits of the new SWARM system

In particular, the study will quantify In particular, the study will quantify system wide benefits in terms of system wide benefits in terms of savings in delay, emissions and savings in delay, emissions and fuel consumption, and safety fuel consumption, and safety improvementsimprovements

This will aid in the optimal This will aid in the optimal deployment of the current SWARM deployment of the current SWARM systemsystem

ODOT uses 15 min ramp data to ODOT uses 15 min ramp data to assist with new metering systemassist with new metering system

A system wide ramp metering A system wide ramp metering (SWARM) system is being (SWARM) system is being implemented in the Portland implemented in the Portland metropolitan area.metropolitan area.

This study entails a before and This study entails a before and after evaluation of the operational after evaluation of the operational benefits of the new SWARM systembenefits of the new SWARM system

In particular, the study will quantify In particular, the study will quantify system wide benefits in terms of system wide benefits in terms of savings in delay, emissions and savings in delay, emissions and fuel consumption, and safety fuel consumption, and safety improvementsimprovements

This will aid in the optimal This will aid in the optimal deployment of the current SWARM deployment of the current SWARM systemsystem


Incident Autopsy: 6/12/06Incident Autopsy: 6/12/06Incident Autopsy: 6/12/06Incident Autopsy: 6/12/06



8:15 2-vehicles collide8:19 Crash reported8:27 VMS message:

CENTER LANES CLSD8:40 COMET requests tow9:10 Tow arrives9:27 Lanes clear 9:30 Traffic starts to clear9:45 Traffic half clear10:00 Traffic all clear



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Incident AutopsyIncident AutopsyIncident AutopsyIncident Autopsy

Political interest in incident Political interest in incident managementmanagement

Travel time reliabilityTravel time reliability Freight planningFreight planning Regional incident Regional incident

management task force management task force now establishednow established

Political interest in incident Political interest in incident managementmanagement

Travel time reliabilityTravel time reliability Freight planningFreight planning Regional incident Regional incident

management task force management task force now establishednow established


Freeway Travel Time ReportingFreeway Travel Time ReportingFreeway Travel Time ReportingFreeway Travel Time Reporting

Portland State University recently Portland State University recently conducted a study revealing conducted a study revealing inaccuracies in the current algorithm inaccuracies in the current algorithm used for predicting travel time in the used for predicting travel time in the Portland areaPortland area

The algorithm performed well under The algorithm performed well under normal traffic conditions, however, normal traffic conditions, however, underestimated travel time during underestimated travel time during periods of congestionperiods of congestion

This project intends to build upon the This project intends to build upon the investigation into alternative investigation into alternative algorithms, and determine the best algorithms, and determine the best approach for improving travel time approach for improving travel time estimates in “real time” applicationsestimates in “real time” applications

These applications include providing These applications include providing estimates on variable message signs, estimates on variable message signs, tripcheck.com, and the 511 traveler tripcheck.com, and the 511 traveler information systeminformation system

Portland State University recently Portland State University recently conducted a study revealing conducted a study revealing inaccuracies in the current algorithm inaccuracies in the current algorithm used for predicting travel time in the used for predicting travel time in the Portland areaPortland area

The algorithm performed well under The algorithm performed well under normal traffic conditions, however, normal traffic conditions, however, underestimated travel time during underestimated travel time during periods of congestionperiods of congestion

This project intends to build upon the This project intends to build upon the investigation into alternative investigation into alternative algorithms, and determine the best algorithms, and determine the best approach for improving travel time approach for improving travel time estimates in “real time” applicationsestimates in “real time” applications

These applications include providing These applications include providing estimates on variable message signs, estimates on variable message signs, tripcheck.com, and the 511 traveler tripcheck.com, and the 511 traveler information systeminformation system


Portal In Action: Metropolitan Portal In Action: Metropolitan Congestion Over TimeCongestion Over TimePortal In Action: Metropolitan Portal In Action: Metropolitan Congestion Over TimeCongestion Over Time

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Cross Section StudyCross Section StudyCross Section StudyCross Section Study

Speed-Volume Analysis (2005)

2004-05 Speed Comparison

‘04

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SpeedSpeed


Cross Section ComparisonCross Section ComparisonCross Section ComparisonCross Section Comparison

Geographic Bottlenecks

Mega-project!

Design Flaws

Good Free-flow performance

Looming Danger


HOV AnalysisHOV AnalysisHOV AnalysisHOV Analysis


Workzone InfluenceWorkzone InfluenceWorkzone InfluenceWorkzone Influence

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Snapshot Map May 2006 AM PeakSnapshot Map May 2006 AM PeakSnapshot Map May 2006 AM PeakSnapshot Map May 2006 AM Peak


May-Nov 2005 ComparisonMay-Nov 2005 ComparisonMay-Nov 2005 ComparisonMay-Nov 2005 Comparison


Traffic Volume and Speed on US26 Traffic Volume and Speed on US26 Eastbound at Canyon Road in 2005 Eastbound at Canyon Road in 2005 Traffic Volume and Speed on US26 Traffic Volume and Speed on US26 Eastbound at Canyon Road in 2005 Eastbound at Canyon Road in 2005

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Traffic Speed on I-84 Westbound at NE Traffic Speed on I-84 Westbound at NE 82nd Avenue, 2004 vs. 200582nd Avenue, 2004 vs. 2005Traffic Speed on I-84 Westbound at NE Traffic Speed on I-84 Westbound at NE 82nd Avenue, 2004 vs. 200582nd Avenue, 2004 vs. 2005

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Traffic Speed on I-5 Southbound at Traffic Speed on I-5 Southbound at Capitol Highway, 2004 vs. 2005 Capitol Highway, 2004 vs. 2005 Traffic Speed on I-5 Southbound at Traffic Speed on I-5 Southbound at Capitol Highway, 2004 vs. 2005 Capitol Highway, 2004 vs. 2005

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Planning-Operations ConnectionPlanning-Operations ConnectionPlanning-Operations ConnectionPlanning-Operations Connection

Congestion ManagementCongestion Management Non-recurringNon-recurring ReliabilityReliability System managementSystem management Promoting ITSPromoting ITS Links to freight and demand Links to freight and demand

managementmanagement Planning for OperationsPlanning for Operations

Regional Concept of Transportation Regional Concept of Transportation Operations GrantOperations Grant

TSMO & ITS in RTP and TIPTSMO & ITS in RTP and TIP MPO CommitteesMPO Committees Connection to Economic DevelopmentConnection to Economic Development

Congestion ManagementCongestion Management Non-recurringNon-recurring ReliabilityReliability System managementSystem management Promoting ITSPromoting ITS Links to freight and demand Links to freight and demand

managementmanagement Planning for OperationsPlanning for Operations

Regional Concept of Transportation Regional Concept of Transportation Operations GrantOperations Grant

TSMO & ITS in RTP and TIPTSMO & ITS in RTP and TIP MPO CommitteesMPO Committees Connection to Economic DevelopmentConnection to Economic Development


Metropolitan Mobility the Smart WayMetropolitan Mobility the Smart WayMetropolitan Mobility the Smart WayMetropolitan Mobility the Smart Way


Media UseMedia UseMedia UseMedia Use


Media UseMedia UseMedia UseMedia Use


Expanding FunctionalityExpanding FunctionalityExpanding FunctionalityExpanding Functionality

Data from: 1995-2004 15-min TriMet – bus probe locations Washington State DOT City of Portland arterials ODOT WIM Data

Additional processing tools and performance measures

Web interface is expanding use of archived data

Increasing awareness of the value of these systems

Provides decision support for transportation officials in the region


AcknowledgmentsAcknowledgmentsAcknowledgmentsAcknowledgments

Alex Skabardonis, Pravin Varaiya, Karl Petty and PEMSAlex Skabardonis, Pravin Varaiya, Karl Petty and PEMS PORTAL Team: Kristin Tufte, Sirisha Kothuri, James Rucker, PORTAL Team: Kristin Tufte, Sirisha Kothuri, James Rucker,

Jessica Potter, John Chee, Spicer Matthews, Sue Ahn, Andy Jessica Potter, John Chee, Spicer Matthews, Sue Ahn, Andy Delcambre, Tim Welch, Steve Hansen, Andy Rodriguez, Delcambre, Tim Welch, Steve Hansen, Andy Rodriguez, Andrew ByrdAndrew Byrd

National Science FoundationNational Science Foundation Oregon Department of TransportationOregon Department of Transportation Federal Highway Administration Federal Highway Administration TransPort ITS Coordinating CommitteeTransPort ITS Coordinating Committee City of PortlandCity of Portland TriMetTriMet Oregon Engineering and Technology Industry CouncilOregon Engineering and Technology Industry Council

Visit PORTAL Online:Visit PORTAL Online:http://portal.its.pdx.eduhttp://portal.its.pdx.edu


Thank You!www.its.pdx.edu

Documents

1 Lessons From Developing an Archived Data User Service: Who Is Using It? Lessons from Developing an Archived Data User Service in Portland, Oregon: Who