1 Combined Arterial Performance Status Report Intelligent Transportation Systems Laboratory Maseeh College of Engineering and Computer Science Portland

1Combined Arterial Performance Status ReportCombined Arterial Performance Status Report

Intelligent Transportation Systems LaboratoryIntelligent Transportation Systems LaboratoryMaseeh College of Engineering and Computer ScienceMaseeh College of Engineering and Computer SciencePortland State UniversityPortland State UniversityRobert L. Bertini, Christopher Monsere, Robert L. Bertini, Christopher Monsere, Michael Wolfe and Mathew BerkowMichael Wolfe and Mathew Berkow

Combined Arterial PerformanceCombined Arterial PerformanceStatus ReportStatus ReportFebruary 2006February 2006


FY06 ITS Integration EarmarkFY06 ITS Integration Earmark

TransPort Committee proposed 13 project topics Voting by committee prioritized

Combined Arterial Performance Task 1.1 City of Gresham Adaptive Signal System Evaluation Task 1.2 Arterial Travel Time and Performance Measures Task 1.3 Development of a Methodology and Evaluation of Algorithms for

Estimating Travel Speeds on Arterials Using Automatic Vehicle Location Data Task 2 Combined Regional Data Archive (PORTAL) Enhancement

Task 2.1 Improving Real-Time Travel Time Estimations Task 2.2 Improving Data Quality in Portland’s Archived Data User Service Task 2.3 Incorporation of Incident Data into the Portland Transportation

Archive Listing (PORTAL) Task 3 OR 140 Ice Detection and Warning System Evaluation Task 4 Portland State University Intelligent Transportation Systems Lab

Hardware Improvements

TransPort Committee proposed 13 project topics Voting by committee prioritized

Combined Arterial Performance Task 1.1 City of Gresham Adaptive Signal System Evaluation Task 1.2 Arterial Travel Time and Performance Measures Task 1.3 Development of a Methodology and Evaluation of Algorithms for

Estimating Travel Speeds on Arterials Using Automatic Vehicle Location Data Task 2 Combined Regional Data Archive (PORTAL) Enhancement

Task 2.1 Improving Real-Time Travel Time Estimations Task 2.2 Improving Data Quality in Portland’s Archived Data User Service Task 2.3 Incorporation of Incident Data into the Portland Transportation

Archive Listing (PORTAL) Task 3 OR 140 Ice Detection and Warning System Evaluation Task 4 Portland State University Intelligent Transportation Systems Lab

Hardware Improvements


ObjectiveObjective

Develop an automated way to report speeds, travel times and performance measures using: Existing ITS signal infrastructure Automatic Vehicle Locator (AVL) data

Expand PORTAL to include arterial data

Develop an automated way to report speeds, travel times and performance measures using: Existing ITS signal infrastructure Automatic Vehicle Locator (AVL) data

Expand PORTAL to include arterial data


Selected Arterial Performance MeasuresSelected Arterial Performance MeasuresSelected Arterial Performance MeasuresSelected Arterial Performance Measures

TABLE 1 SELECTED ARTERIAL PERFORMANCE MEASURES

Metric Measurement Interval Location Maximum Speed

per Vehicle per Person

per Distance per Time

(cycle, 15 min, hour, day)

per Lane per Lane Group per Approach per Segment per Facility

per Area

Average Speed Speed Indexa Density Running Time Travel Time Travel Time Variance Average Delay Maximum Delay Queue Length Platoon Ratio Number of Stops Signal Failure Duration of Congestion per Day Number of Incidents per Day/Peak Period Duration Incidents per Event Nonrecurring Delay aRatio of average speed to posted speed.


Inspiration – Signal System Data OnlyInspiration – Signal System Data OnlyInspiration – Signal System Data OnlyInspiration – Signal System Data Only


Inspiration – Bus AVL System Data OnlyInspiration – Bus AVL System Data OnlyInspiration – Bus AVL System Data OnlyInspiration – Bus AVL System Data Only

I-5

I-5

I-205

US 26

SR 217

Powell Blvd.


This Project: Combine Signal and Bus AVLThis Project: Combine Signal and Bus AVLThis Project: Combine Signal and Bus AVLThis Project: Combine Signal and Bus AVL


Signal System DataSignal System DataSignal System DataSignal System Data


Signal Data LiteratureSignal Data LiteratureSignal Data LiteratureSignal Data Literature

Using stop bar detectors to generate an arterial Using stop bar detectors to generate an arterial performance mapperformance map Hallenbeck, Ishimaru, Davis, KangHallenbeck, Ishimaru, Davis, Kang LiangLiang

Performance based on summation of delay Performance based on summation of delay componentscomponents Liu, MaLiu, Ma Skabardonis, GeroliminisSkabardonis, Geroliminis

Intersection/Signal PerformanceIntersection/Signal Performance Sharma, Bullock, BonnesonSharma, Bullock, Bonneson Smaglik, Bullock, SharmaSmaglik, Bullock, Sharma


DDDD

Signal System Data:Signal System Data:Portland’s Portland’s Detection Detection InfrastructureInfrastructure

Signal System Data:Signal System Data:Portland’s Portland’s Detection Detection InfrastructureInfrastructure

Data AggregationData AggregationSystem Detector System Detector

5 min5 minOther Detector Other Detector

15 min15 min7 Day Sample7 Day Sample


Case Study: Barbur Blvd. Speed MapCase Study: Barbur Blvd. Speed MapCase Study: Barbur Blvd. Speed MapCase Study: Barbur Blvd. Speed Map

SheridanHooker

Hamilton

3rdTerwilligerBertha

19th

I-5 Off-ramp

30th

Park & Ride

N


Detectors at Barbur and BerthaDetectors at Barbur and BerthaDetectors at Barbur and BerthaDetectors at Barbur and Bertha


Flow vs. Occupancy: 5 Minute DataFlow vs. Occupancy: 5 Minute DataFlow vs. Occupancy: 5 Minute DataFlow vs. Occupancy: 5 Minute Data

Barbur & Hamilton, Northbound 2-12-07 to 2-20-07

0

500

1000

1500

2000

2500

3000

3500

4000

0 10 20 30 40 50 60 70 80

Occupancy (%)

Flo

w (

v/h

)


5 Minute Speed and Occupancy (at Hamilton)5 Minute Speed and Occupancy (at Hamilton)5 Minute Speed and Occupancy (at Hamilton)5 Minute Speed and Occupancy (at Hamilton)

0

10

20

30

40

50

60

70

80

90

0:00 3:00 6:00 9:00 12:00 15:00 18:00 21:00 0:00

Time

Sp

eed

(m

ph

)

0

10

20

30

40

50

60

70

80

Occ

up

ancy

(%

)

Speed

Occupancy


Generate Occupancy Map From Detector DataGenerate Occupancy Map From Detector DataGenerate Occupancy Map From Detector DataGenerate Occupancy Map From Detector Data


AM Peak Speed Map From Detector DataAM Peak Speed Map From Detector DataAM Peak Speed Map From Detector DataAM Peak Speed Map From Detector Data


Will It Work? To The Video….Will It Work? To The Video….Will It Work? To The Video….Will It Work? To The Video….


ObstaclesObstacles

Lack of Access to Real Time Data Limited Detection Very Limited Aggregation (5 Minute Won’t

Work) Detector Spacing Is Any Further Work Justified?

Lack of Access to Real Time Data Limited Detection Very Limited Aggregation (5 Minute Won’t

Work) Detector Spacing Is Any Further Work Justified?


Next Steps: Gresham Burnside CorridorNext Steps: Gresham Burnside Corridor

Good detector density

Highly granular data (cycle-by-cycle)

Probe data available

No direct measurement of occupancy

16’ detectors No bus data

Good detector density

Highly granular data (cycle-by-cycle)

Probe data available

No direct measurement of occupancy

16’ detectors No bus data


Next Steps: Vancouver Mill Plain Blvd.Next Steps: Vancouver Mill Plain Blvd.

Detailed Data Available Do Not Have Sample Data Yet Possible Future Project

Detailed Data Available Do Not Have Sample Data Yet Possible Future Project


Bus AVL System DataBus AVL System DataBus AVL System DataBus AVL System Data


Bus AVL Data Literature ReviewBus AVL Data Literature ReviewBus AVL Data Literature ReviewBus AVL Data Literature Review

Buses as probesBuses as probes Bertini & Tantiyanugulchai (2003)Bertini & Tantiyanugulchai (2003) Vandehey, Parks, Koonce & Bonneson (2006 Vandehey, Parks, Koonce & Bonneson (2006

working paper)working paper) Chakroborty and Kikuchi (2004)Chakroborty and Kikuchi (2004)

Measuring & reporting congestionMeasuring & reporting congestion Hall and Vyas (2000)Hall and Vyas (2000)

Measuring network LOSMeasuring network LOS Uno, Tamura, Iida, Nagahiro and Yamawaki Uno, Tamura, Iida, Nagahiro and Yamawaki

(2007)(2007)


TriMet Archived AVL DataTriMet Archived AVL DataTriMet Archived AVL DataTriMet Archived AVL DataR

ou

te N

o.

Ser

vice

D

ate

Lea

ve T

ime

Sto

p T

ime

Arr

ive

Tim

e

Bad

ge

Dir

ecti

on

Tri

p N

o.

Lo

cati

on

ID

Dw

ell

Do

or

Lif

t

On

s

Off

s

Est

. L

oad

Max

Sp

eed

Pat

tern

D

ista

nce

X C

oo

r.

Y C

oo

r.

9 01NOV2001 8:53:32 8:49:15 8:53:28 285 0 1120 4964 0 0 0 0 0 21 41 10558.58 7644468 676005

9 01NOV2001 8:55:00 8:51:41 8:54:46 285 0 1120 4701 4 0 0 0 1 20 50 15215.05 7649112 676328

9 01NOV2001 8:56:22 8:52:00 8:55:08 285 0 1120 4537 36 3 0 6 0 26 34 15792.35 7649674 676220

Route Number Vehicle Number Service Date Actual Leave Time Scheduled Stop Time Actual Arrive Time Operator ID Direction Trip Number Bus Stop Location

Dwell Time Door Opened Lift Usage Ons & Offs (APCs) Passenger Load Maximum Speed

on Previous Link Distance Longitude Latitude


Powell Blvd. Corridor StudyPowell Blvd. Corridor StudyPowell Blvd. Corridor StudyPowell Blvd. Corridor Study

0

0.5

1

1.5

2

2.5

3

1:04:00 PM 1:09:00 PM 1:14:00 PMTime

Dis

tan

ce (

mile

s)

Ross Island

Bridge

Test VehicleBusHypothetical BusPseudo BusModified Pseudo Bus B

us

Hyp

o

Pseu

do

Mod

ified

Ps

eudo

Vehi

cle


Tantiyanugulchai ResultsTantiyanugulchai Results

Possible to explain actual arterial traffic conditions using transit vehicle AVL information.

Bus trajectory created from maximum instantaneous speed achieved between each stop pair (Pseudo Bus) most reliably depicted traffic movement of non-transit vehicles.

Test vehicle travel times were between 1.24 and 1.29 times the pseudo bus travel times.

In reverse, test vehicle speeds were between 0.78 and 0.81 times the pseudo bus speeds.

Time-space diagrams and 3D visualizations were helpful for exploring the data before beginning detailed analysis.

Possible to explain actual arterial traffic conditions using transit vehicle AVL information.

Bus trajectory created from maximum instantaneous speed achieved between each stop pair (Pseudo Bus) most reliably depicted traffic movement of non-transit vehicles.

Test vehicle travel times were between 1.24 and 1.29 times the pseudo bus travel times.

In reverse, test vehicle speeds were between 0.78 and 0.81 times the pseudo bus speeds.

Time-space diagrams and 3D visualizations were helpful for exploring the data before beginning detailed analysis.


Will It Work? To The Video….Will It Work? To The Video….Will It Work? To The Video….Will It Work? To The Video….


Building on Powell Blvd. StudyBuilding on Powell Blvd. StudyBuilding on Powell Blvd. StudyBuilding on Powell Blvd. Study

Begin with limited signal system data.Begin with limited signal system data. Gather Gather archivedarchived TriMet AVL data. TriMet AVL data. Merge two data sources to examine synergies due to Merge two data sources to examine synergies due to

data fusion.data fusion. Use AVL data to calibrate influence areas from loops.Use AVL data to calibrate influence areas from loops.


Midpoint Method Using 5-Minute DataMidpoint Method Using 5-Minute DataMidpoint Method Using 5-Minute DataMidpoint Method Using 5-Minute Data


Adjust Influence Areas ManuallyAdjust Influence Areas ManuallyAdjust Influence Areas ManuallyAdjust Influence Areas Manually


Include Bus Speed MeasurementsInclude Bus Speed MeasurementsInclude Bus Speed MeasurementsInclude Bus Speed Measurements


Reveals Gaps in DetectionReveals Gaps in DetectionReveals Gaps in DetectionReveals Gaps in Detection


New Occupancy Map From Combined SourcesNew Occupancy Map From Combined SourcesNew Occupancy Map From Combined SourcesNew Occupancy Map From Combined Sources


Confirmation of Congested Regime at BerthaConfirmation of Congested Regime at BerthaConfirmation of Congested Regime at BerthaConfirmation of Congested Regime at Bertha


Obstacles and Next StepsObstacles and Next Steps

TriMet Buses Can Be Probes Detailed AVL Data (Stop Level) Not Available

in Real Time (?) No Access to Real Time Data (Transit Tracker) Is Any Further Work Justified?

TriMet Buses Can Be Probes Detailed AVL Data (Stop Level) Not Available

in Real Time (?) No Access to Real Time Data (Transit Tracker) Is Any Further Work Justified?


Products So Far…Products So Far…Products So Far…Products So Far…

PresentationsPresentations Oregon ITE Monthly Oregon ITE Monthly

Meeting (2/27/07)Meeting (2/27/07) CTS Transportation CTS Transportation

Seminar (3/16/07)Seminar (3/16/07) ITE District 6 Annual ITE District 6 Annual

Meeting (7/18/07)Meeting (7/18/07) ITSC (9/30/07)ITSC (9/30/07)

PostersPosters TransNow Student TransNow Student

Conference (11/16/07)Conference (11/16/07) TRB 87th Annual TRB 87th Annual

Meeting (1/13/08)Meeting (1/13/08)

PapersPapers TRB: TRB: Using Signal System Data and Using Signal System Data and

Buses as Probe Vehicles to Define Buses as Probe Vehicles to Define the Congested Regime on Arterials the Congested Regime on Arterials

IEEE: IEEE: Improving Arterial Improving Arterial Performance Measurement Using Performance Measurement Using Traffic Signal System DataTraffic Signal System Data

IEEE: IEEE: Arterial Travel Time Arterial Travel Time Estimation and Transit Performance Estimation and Transit Performance Measurement Using Archived AVL Measurement Using Archived AVL Transit DataTransit Data

ITE D6: ITE D6: Improving Arterial Improving Arterial Performance Measurement Using Performance Measurement Using Traffic Signal System Data Traffic Signal System Data


AcknowledgementsAcknowledgements TransPort Members FHWA: Nathaniel Price ODOT: Galen McGill PSU & OTREC (Local Matching Funds) City of Portland: Bill Kloos, Willie Rotich TriMet: David Crout, Steve Callas JPACT and Oregon Congressional Delegation ITS Lab: John Chee, Rafael Fernandez

TransPort Members FHWA: Nathaniel Price ODOT: Galen McGill PSU & OTREC (Local Matching Funds) City of Portland: Bill Kloos, Willie Rotich TriMet: David Crout, Steve Callas JPACT and Oregon Congressional Delegation ITS Lab: John Chee, Rafael Fernandez


Thank You!www.its.pdx.edu

Documents

1 Combined Arterial Performance Status Report Intelligent Transportation Systems Laboratory Maseeh College of Engineering and Computer Science Portland