Congestion Management Innovations in Oregon

Congestion ManagementInnovations in OregonChristopher MonsereAssistant ProfessorPortland State University Civil and Environmental EngineeringDirector, Intelligent Transportation Systems Laboratory

ITS1OutlinePortland, Oregon Regional ApproachFreeway PerformanceArterial PerformanceEnvironmental Performance2

Portland, Oregon - USA3Portland, Oregon - USA

4Portland, Oregon - USA

Population 2.2 million5A Regional ApproachTransPort ITS Coordinating Committee

6PORTAL -- The Portland Regions Archived Data User Service (ADUS)

7Whats in the PORTAL Database?

Loop Detector Data20 s count, lane occupancy, speed from 500 detectors (1.2 mi spacing)

Incident Data140,000 since 1999

Weather DataEvery day since 2004

VMS Data19 VMS since 1999

DaysSince July 2004About +700 GB6.9 Million Detector IntervalsBus Data1 year stop level data140,000,000 rows

001590WIM Data22 stations since 200530,026,606 trucks

Crash DataAll state-reported crashes since 1999 - ~580,000

8Freeway Performance9Performance Measures UsedVolumeSpeedOccupancyVehicle Miles TraveledVehicle Hours TraveledTravel TimeDelayReliability

10Interstate 5 Northbound

About 38.6 kilometers

11

Lyman and Bertini, 200712

Lyman and Bertini, 200713Systematically Identifying Bottlenecks

14Systematically Identifying Bottlenecks

15Systematically Identifying Bottlenecks

16Arterial Performance17ObjectiveDevelop an automated way to report SpeedsTravel timesPerformance measures

Using Existing ITS signal infrastructureAutomatic Vehicle Locator (AVL) data

Speed Map Generated from TriMet Bus AVL System Data Only

Midpoint Method Using 5-Minute Data

Signalized IntersectionsITSAdjust Influence Areas Manually

Signalized IntersectionsITSBus Data Confirms Adjustment

Signalized IntersectionsITSReveals Gaps in Detection

Signalized IntersectionsITSNew Occupancy Map From Combined Sources

Signalized IntersectionsITSAn Improvement Over Mid-Point Method

Signalized IntersectionsITSObstaclesSystem Signal DetectorVery Limited AggregationAccess to Real Time DataLimited Detection & Spacing

BusAccess to Real Time Data

ITSNext StepSystem Signal DetectorCycle level data (Gresham, OR SCATS)BusTriMet Buses Can Be ProbesExtensive Network CoverageOpportunity to Evaluate Multiple Routes on Same Arterial

ITSGlossaryMAC Address: a 48 bit (>28 trillion) unique address assigned to a device by its manufacturer.Bluetooth: a wireless protocol utilizing short-range communications technology facilitating data transmission over short distances from fixed and/or mobile devices ClassMaximum PowerOperating RangeClass 1100mW (20dBm)100 metersClass 22.5mW (4dBm)10 metersClass 31mW (0dBm)1 meterSH 7 TSP Evaluation10/20/2009Kittelson & Associates, Inc.2828Estimated Travel Time Example

Not always a trivial distinctionsome thought needs to be given to geometrics/physics

SH 7 TSP Evaluation10/20/2009Kittelson & Associates, Inc.2929

Powell Blvd Corridor

Bluetooth reader locations

30

Travel Times(13th 53rd )Eastbound TT (Min)West bound TT (Min)

31Environmental Performance32Arterial Fusion ProjectCreate framework to fuse Bus Probe DataMatched Vehicle Probe DataAdaptive Signal System DataPrivate Sector Data?In to one complete picture33Sustainability Performance Measures Using Archived ITS Data:Emissions EstimatesFuel ConsumptionCost of DelayPerson Mobility (PMT, PHT, PHD)34Emissions Measure Methodology35Hourly CO2 EstimateI-5 MP 302.5 (1.4 mile section)36CO Emissions From CongestionI-5 MP 302.5 (1.4 mile section)37AcknowledgmentsR.L. Bertini - ITS Lab and PORTAL founderColleagues Kristin Tufte, Miguel Figliozzi, Ashley Haire, Portland State UniversityPeter Koonce, Shaun Quayle Kittelson and AssociatesDarcy Bullock, Purdue UniversityWillie Rotich and Paul Zabell, Portland Bureau of TransportationSponsors -National Science FoundationOregon Department of TransportationFederal Highway Administration TransPort ITS Coordinating CommitteeCity of Portland, Office of TransportationTriMetOregon Engineering and Technology Industry CouncilStudents

38ReferencesMAC Address TrackingWasson, J.S., J.R. Sturdevant, D.M. Bullock, Real-Time Travel Time Estimates Using MAC Address Matching, Institute of Transportation Engineers Journal, ITE, Vol. 78, No. 6, pp. 20-23, June 2008.Bullock, D.M., C.M. Day; J.S. Sturdevant, Signalized Intersection Wasson J.S., S.E. Young, J.R. Sturdevant, P.J. Tarnoff, J.M. Ernst, and D.M. Bullock, , Evaluation of Special Event Traffic Management: The Brickyard 400 Case Study, under review.Cycle by cycle and Movement based Performance MeasuresPerformance Measures for Operations Decision Making, Institute of Transportation Engineers Journal, ITE, Vol. 78, No. 8, pp. 20-23, August 2008.Hubbard, S.M.L., D.M. Bullock, and C. Day Opportunities to Leverage Existing Infrastructure To Integrate Real-Time Pedestrian Performance Measures Into Traffic Signal System Infrastructure, Paper ID: 08-1392, submitted July 2007, revised October 2007, in press.Day, C., E. Smaglik, D.M. Bullock, and J. Sturdevant, Quantitative Evaluation of Actuated Versus Nonactuated Coordinated Phases, Paper ID: 08-0383, submitted July 2007, revised October 2007, in press.Smaglik E.J., A. Sharma, D.M. Bullock, J.R. Sturdevant, and G. Duncan, Event-Based Data Collection for Generating Actuated Controller Performance Measures," Transportation Research Record, #2035, TRB, National Research Council, Washington, DC, pp.97-106, 2007.SH 7 TSP Evaluation10/20/2009Kittelson & Associates, Inc.3939

Thank You!www.its.pdx.edu

ITSExtra slides no translation past this slide41MOBILE 6.2New facility-specific drive cycles recorded in modern American cities

Updated vehicles, emissions rates, regulatory programs, and driver behaviors

Fuel consumption and CO2 estimates not speed-dependent (only based on fuel and fleet data)

Non-specified parameters default to national averages (many county-specific data available from the EPA)

Improvements and caveats42Average Speed Emissions ModelsModel Development Process:43