Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept...

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Vehicle Probe Project Web Conference Arterial Data Quality Arterial Data Quality January 10, 2013 www.I95Coalition.org I-95 Corridor Coalition Vehicle Probe Project 1 January 10, 2013

Transcript of Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept...

Page 1: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Vehicle Probe Project Web Conference

Arterial Data QualityArterial Data QualityJanuary 10, 2013

www.I95Coalition.org I-95 Corridor Coalition Vehicle Probe Project 1

January 10, 2013

Page 2: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Call Courtesies• Please keep your phone muted until asking a

question or speaking (press *6 to mute/unmute g (individual phone lines)

• Please give your name and agency before askingPlease give your name and agency before asking your question (at least the first time)

Please do not place call “on hold” as your hold• Please do not place call on hold as your hold music may be heard by the group

• Please call 610-662-5569 for difficulties with the web application

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Introductions and Welcome

Marygrace ParkerI-95 Corridor CoalitionI 95 Corridor Coalition

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VPP Arterial Validation Effort

Stan YoungUniversity of MarylandUniversity of Maryland

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Overview & History of VPP Arterial ValidationArterial ValidationPhase 1 – Initial Investigation Phase 2 – Case Studies Phase 3 – Quantifying Effectivenessy gQuestions and Discussions

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VPP in 2008Core Coverage• 1500 Freeway milesy• 1000 Arterial miles• New Jersey to North CarolinaCarolina

Roadways• I-95/Parallel Freeways• Beltways & Cross-

linking Freewayslinking Freeways• Alternate Route Arterials

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VPP Now – Current State FreewayMiles

Other Miles

Total Miles

Contracted Coverage Maine 66 0 66

New Hampshire 16 0 16

Massachusetts 96 0 96

Rhode Island 162 597 759

Connecticut 111 0 111

New Jersey 895 63 958

P l iPennsylvania 637 118 755

Maryland 781 3779 4,560

Washington DC 31 233 264

Virginia 1 411 7 213 8 624Virginia 1,411 7,213 8,624

North Carolina 1,553 12,996 14,549

South Carolina 934 7,187 8,121

Georgia 398 0 398Georgia 398 0 398

Florida 718 0 718

Total 7,809 32,186 39,995

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Freeway Data Quality SpecificationsSpecifications

• Data items:– Travel Time / Space Mean Speed– Confidence Score – Historical and Expected Values

• Specs are applied when flow exceeds 500 vphSpecs are applied when flow exceeds 500 vph• Travel Time / Speed Data

– Accuracy is assessed in four flow regimes0 30 MPH 30 45 MPH0 - 30 MPH 30-45 MPH45-60 MPH > 60 MPH

• In each range the following apply– Max average absolute speed error: 10 MPH– Speed error bias: +/- 5 MPH Max

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PA Validation – Jan 2010

Narrow SEM BandBluetooth Data in Blue

Wide SEM Band

INRIX Data in Red Outliers marked with Blackwww.I95Coalition.org I-95 Corridor Coalition Vehicle Probe Project

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INRIX Data in Red Outliers marked with Black

January 10, 2013

Page 10: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Overview & History of VPP Arterial ValidationValidationPhase 1 – Initial Investigation Phase 2 – Case Studies Phase 3 – Quantifying EffectivenessQuestions and Discussions

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Timeline of ValidationTimeline of Validation• Jul 2008 – Dec 2009

C fi i F D t Q lit– Confirming Freeway Data Quality• Jan 2010 – Dec 2010

Initial look at Arterial Data Quality– Initial look at Arterial Data Quality– Identified Issues– Applied Freeway MethodologyApplied Freeway Methodology– Data Collection Began– Webinar / White Paperp

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Freeways vs. ArterialsFreeways Arterials

Volume 2200 vphpl 1400 vphpl on green

Speed Range 20-70 mph 10-45 mph

Freeflow 65 mph Unknownp

Congestion Types Recurring / Non-recurring

Cycle Failure / Mid-Block Friction

Congestion Signature / Incident

Slowdowns < 55 mph

Difficult to recognize

Flow characteristic Uniform Higher Variance, Frequently Bi-Modal

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Arterial Data Example

Large Variance gor Envelope of

Speeds

M h l d tMuch less data –lower volumes

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Page 14: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Sample Arterial Plot – VASample Arterial Plot VAVPP reports faster

of two speedsNo one travels average speedof two speeds average speed

Two Speed Bands –Due to signal delay

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Page 15: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Summary of Issues• Broad definition of Arterials

Free a methodolog and specifications• Freeway methodology and specifications inappropriate

• Congestion patterns are more complex– Signal timing changes– Delay induced at signals

• Travel time frequently not uniformq y• TMC codes problematic

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Freeway Speed RangesLOS Criteria for Basic Freeway Segments - HCM 2000

A B C D E FA S d 60 57 54 46 30 30

Criteria LOS

• Compared to VPP Speed Categories

Average Speed 60 57 54 46 30 <30HCM 2000 Table A-1

Compared to VPP Speed Categories– >60 MPH LOS A– 45-60 MPH LOS B,C,D– 30-45 MPH LOS E– < 30 MPH LOS F

• Accuracy spec 10 MPH AASEAccuracy spec 10 MPH AASE– 1/3 of speed from LOS A to LOS E/F

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Page 17: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Arterial Speed RangesLOSDefinitions for Urban Streets

A B C D E FPercent of Freeflow 90% 70% 50% 40% 33% <33%

Criteria LOS

Percent of Freeflow 90% 70% 50% 40% 33% 33%HCM 2000 - Level of Service Urban Street Definitions

For a 45 MPH Arterial (Speed Limit)

Criteria LOS

• Suggests speed ranges of

A B C D E FSpeed Threshold 40.50 31.5 22.5 18 15 <15 MPH

Criteria

Suggests speed ranges of– >40 mph 20-40mph 15-20mph <15mph

• Suggested accuracy spec– 25 mph differentiation between LOS A to LOS F– Implies accuracy spec ~ 8 mph AASE

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Direction in Dec 2010Direction in Dec 2010• Recommend use of VPP data only on

– High volume arterials– Medium to low mid-block friction– Sparse signal spacing– Through movement dominant

• Continue to study remaining arterials• Summary White Paper in Nov 2010Summary White Paper in Nov 2010

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Page 19: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Overview & History of VPP Arterial ValidationValidationPhase 1 – Initial Investigation Ph 2 C St diPhase 2 – Case Studies Phase 3 – Quantifying EffectivenessQuestions and Discussions

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Page 20: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Phase II Arterial Case StudiesPhase II – Arterial Case Studies• PA Aug 2010 US 1 6 segments• PA, Aug 2010, US-1, 6 segments• VA, Sept 2010, US-1, 2 segments• MD, Sept 2010, Rt. 3, 4 segments• DE, Nov 2010, Rt. 13, 4 segmentsg

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Page 21: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

PennsylvaniaPennsylvaniaUS-1

TYPE TMC HIGHWAY STARTING AT ENDING AT COUNTY DIRECTION LENGTH(mile)

Arterial PA02-0007 US-1 PRESIDENTIAL BLVD 54TH ST (BALA CYNWYD) (EAST)

PHILADELPHIA and MONTGOMERY SB 1.6

A t i l 103 04821 US 1 54TH ST (BALA US-30/ MONTGOMERY SB 1 2Arterial 103-04821 US-1 (CYNWYD) (EAST) LANCASTER AVE MONTGOMERY SB 1.2

Arterial PA02-0008 US-1 US-30/LANCASTER AVE

PA-3/W CHESTER PIKE

MONTGOMERY and DELAWARE SB 2.5

Arterial 103+05623 US-1 PA-3/W CHESTER PIKE

HAVERFORD RD/HAVERFORD AVE MONTGOMERY NB 1.6

HAVERFORD RD/ 54TH ST (BALAArterial PA02-0009 US-1 HAVERFORD RD/

HAVERFORD AVE54TH ST (BALA

CYNWYD) (WEST) MONTGOMERY NB 2.1

Arterial PA02-0010 US-1 54TH ST (BALA CYNWYD) (WEST) PRESIDENTIAL BLVD PHILADELPHIA

and MONTGOMERY NB 1.5

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Page 22: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Sample Cross Sections

Number of Number ofRight Exits Left Exits

Other than Signals Other than SignalsTMC name

Number ofLanes

Number ofSignals

PA02‐0007 2,3 9 13 12103‐04821 2 8 9 10PA02‐0008 2 12 25 23103+05623 2 8 18 14PA02‐0009 2 12 20 17

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PA02 0009 2 12 20 17PA02‐0010 2,3 9 17 9

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Volume and Score• Estimated volume from HPMS and

Bluetooth factoring– Bluetooth estimate 16000 – 28000– HPMS from DVRPC 20,000

• Percent Score = 30 analysisAll Time 6 AM‐9 PM   All Time 6 AM 9 PM

Whole Period  38%  55% Weekdays 50% 71%Weekdays 50% 71%Weekends  19%  27% 

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Page 24: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Sample Data Validation Plot (1)

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Page 25: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Sample Data Validation Plot (2)

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Page 26: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Arterial Case StudiesSummary of VPP’s arterial case study sites.

Numer of WeekdayState - Time, Location

# of Test Paths

Length of Paths (mi)

# of signals

Numer of lanes per direction

Estimated AADT

Free-Flow Speed

Weekday Daytime

%Score >25

Effectiveness of VPP

PA - Aug 2010, Route 1

3 NB & 3 SB 1.2 - 2.7 8-12 per segment

Primarily 2 20,000 15-30 MPH 71% Very Low

MD - Sep 2010, 2 NB & 2 SB 1 8 2 0 4 2 3 40 000 45 57% GoodpRoute 3

2 NB & 2 SB 1.8-2.0 4 2-3 40,000 45 57% Good

VA- Sep 2010, Route 1

NB & SB 2.3 2 2 9,000-12,000 40-45 3.15% Not Effective

DE - Nov 2010, Route 13

1 SB 1.06 4 3 20,000-34,000 40 76% OK

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Page 27: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Phase II - ConclusionsPhase II ConclusionsKey Findings and Observations

1 Initial case studies indicate that VPP data effectiveness is1. Initial case studies indicate that VPP data effectiveness isprimarily volume dependent.

2. Arterials requires a higher sampling rate to attain the same levelof data qualityof data quality.

3. Roadway geometrics influence the consistency in travel timeobservations.

4 Traffic signals tend to divide traffic in pulsed flows with two or4. Traffic signals tend to divide traffic in pulsed flows, with two ormore distinct travel times.

5. Difficult to discern congested flow on arterials from free-flow.6 T i d th f l d tt f di6. Trip purposes and therefore land-use pattern of surroundings

areas also impact the VPP’s effectiveness.

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Page 28: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Summary / RecommendationsyRecommendations

– High volume, multi-lane, signalized facilities that serve majoridcorridor movements.

– AADT of 30,000 or greater.– Low mid-block friction– Concentrate on arterials with efficient geometric designs and

minimal traffic control devices.– Validate

Future Work– Quantifying Quality Remains Problematic

A i ifi i d lid i h d l– Appropriate specifications and validation methodology

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Page 29: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Fundamental QuestionFundamental Question• Where does the VPP

data provide value on mobility–accessibility spectrum?

• How do you quantify y q ythe effectiveness?

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Page 30: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Overview & History of VPP Arterial ValidationValidationPhase 1 – Initial Investigation Ph 2 C St diPhase 2 – Case Studies Phase 3 – Quantifying EffectivenessQuestions and Discussions

www.I95Coalition.org I-95 Corridor Coalition Vehicle Probe Project30January 10, 2013

Page 31: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Arterial Data Quality & P f MPerformance Measures

• Probe data (specifically Bluetooth data)Probe data (specifically Bluetooth data) increasingly used for arterial evaluation

• Emphasis on planning uses of VPP data• Emphasis on planning uses of VPP data• Performance measures emphasis Map-21

Arterial performance measures & lid ti i t i i ll& validation are intrinsically

linked

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Traffic Engineering(NCHRP 3-79)

Operations(Query Ops)

Planning(Query Planning)

Delay Delay Delay (> usual travel time)

Travel Speed Travel Speed Travel Speed

St R tStop Rate

V/C V/CVolume Splits

Volumes

Bandwidth Efficiency /Cycle Failure Rate /

Percent Arrival on Green

Q L th Q L thQueue Length Queue Length

Travel Time Travel Time Travel Time (free flow, usual peak period, 95th %)

Travel Time Reliability Travel Time Reliability Travel Time Reliability(PTI)

Recovery Time Duration of ti / i d

www.I95Coalition.org I-95 Corridor Coalition Vehicle Probe Projectcongestion/period

Density of lights/driveways32

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ApproachApproach …

E l d f T ffi E i i• Evolved from Traffic Engineering• Developed in partnership with Purdue• Sampled distributions (Histograms &

CFDs) form base for Performance )Measures and Validation

• Freeway PM can be directly calculatedFreeway PM can be directly calculated

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Page 34: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Initial Use of Probe Data on Arterials…

G• To verify signal timing• Based on floating cars

B

FA

Based on floating cars– Minimal data– Expensive

B

C

D • First use of Bluetooth

PMComparision 15:30 ‐ 18:00

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www.I95Coalition.org I-95 Corridor Coalition Vehicle Probe ProjectTravel Time  in Minutes

34

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Histograms converted to Cumulative Frequency DiagramsCumulative Frequency Diagrams

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1Friday 21-Oct-2011

Construction of CFD’s

0.8

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80th Percentile

of CFD s

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e Pr

obab

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Travel Time - Minutes

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CFD’s for Comparative Analysis

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Example from Freeways …Impact of the ICC

A

E

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Impact on travel time A -> E

Histogram View (normalized)

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Impact on travel time A -> Ep

Histogram View (normalized)CFD View

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Impact on travel time A -> Ep

Histogram View (normalized)

95th Percentile

CFD View

Median

15th Percentile

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Applied to Route 1 in Virginia …pp g

• SBIR deployment 48 BTM Sensors

• 10 Sensors in Rt 1> 6 th d t• > 6 months data

• Real time & archive• Oct 17 – 29 2011• Oct 17 – 29, 2011• 1.2 miles• Woodbridge, VAg ,• Two internal

intersections

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Scatter Plot of BTM Data

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20Travel Time on Route 1 between Goodwin Blvd and Prince William Pkwy

TraversalsOutliers

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Scatter Plot of BTM Data

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20Travel Time on Route 1 between Goodwin Blvd and Prince William Pkwy

TraversalsOutliers10/21 Typical Congestion

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10/29, Less Congestion

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Friday Oct 21 2011Friday, Oct 21, 2011

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www.I95Coalition.org I-95 Corridor Coalition Vehicle Probe Project45January 10, 2013

Page 46: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Saturday Oct 29 2011Saturday, Oct 29, 201120

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Page 47: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Saturday, Oct 29, 2011

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Page 48: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Weekday OnlyWeekday Only16

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Page 49: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Comparing Hours of Day6 AM 7 AM6 AM – 7 AM

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Page 50: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Comparing Hours of Day10 AM 11 AM10 AM – 11 AM

2010 AM

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Page 51: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Comparing Hours of Day4 PM 5 PM4 PM – 5 PM

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Page 52: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Comparing Hours of Day8 PM 9 PM8 PM – 9 PM

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Page 53: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Same methodology can be applied using VPP Data …

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Page 54: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Weekday Only – VPPWeekday Only VPP

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Page 55: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Smooth the data (VPP)Smooth the data (VPP)… 13

Travel Time Plot - Route 1 SB from Gordon to Opitz

VPP weekday travel time data

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Page 56: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Weekday Only (BTM)Weekday Only (BTM)16

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Page 57: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Hourly Comparison4 PM PM4 PM – 5 PM

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Page 58: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Distribution Analysis with VPP DataDistribution Analysis with VPP Data

• Base on One minute• Base on One-minute VPP data

• Challenges / IssuesChallenges / Issues– TMC mis-match– No volume data– Limited granularity

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Page 59: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Conceptual Arterial ValidationConceptual Arterial Validation

Collect Match and Isolate ConstructCollect BTM Data

Match and Filter

Isolate Timeframe

Construct CFD Plots

VPP One- Isolate ConstructVPP Oneminute Data

Isolate Timeframe

Construct CFD Plots

Extract Validation Metrics

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Page 60: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Case Study – Applying CFDs• 1.6 miles• Route 1• Route 1

– Fairfax County Expressway

– Telegraph Road • 3 signals• TMC segments align• Data

– Sep 3-30, 2012– Weekday only

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Page 61: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

NorthboundUS 1, VA

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Page 62: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

First with Bluetooth Traffic Monitoring

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Page 63: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Scatterplot of Weekday BTM Travel Time Data

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Date/TimeJanuary 10, 2013

Page 64: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

24 Hour Overlay Scatterplot - BTM

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Page 65: Vehicle Probe Project · • PA Aug 2010 USPA, Aug 2010, US-1 6 segments1, 6 segments • VA, Sept 2010, US-1, 2 segments • MD, Sept 2010, Rt. 3, 4 segments • DE, Nov 2010, Rt.

Family of hourly CFD curvesy y

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CFD Curve Family - BTMCFD Curve Family BTMFrom To 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80% 85% 90% 95%0 1 1.76 1.80 1.84 1.89 1.92 1.93 1.96 1.98 2.02 2.05 2.08 2.12 2.15 2.20 2.30 2.33 2.38 2.42 2.501 2 1.75 1.77 1.82 1.85 1.88 1.91 1.95 1.97 2.00 2.03 2.06 2.08 2.12 2.17 2.21 2.25 2.30 2.44 2.572 3 1.65 1.72 1.76 1.79 1.82 1.84 1.87 1.89 1.91 1.94 1.97 2.09 2.10 2.14 2.18 2.22 2.31 2.35 2.483 4 1.67 1.68 1.78 1.80 1.83 1.87 1.93 1.98 2.03 2.05 2.06 2.07 2.08 2.12 2.15 2.19 2.32 2.40 2.514 5 1.68 1.72 1.74 1.77 1.80 1.82 1.84 1.87 1.89 1.93 1.97 1.98 2.01 2.04 2.08 2.11 2.19 2.23 2.425 6 1.68 1.77 1.83 1.88 1.93 1.97 2.01 2.06 2.11 2.15 2.20 2.25 2.32 2.40 2.47 2.58 2.70 2.89 3.126 7 1.92 2.03 2.12 2.20 2.30 2.38 2.47 2.54 2.64 2.72 2.81 2.92 3.03 3.13 3.24 3.37 3.55 3.78 4.267 8 2.11 2.47 2.85 3.25 3.54 3.84 4.19 4.48 4.77 5.03 5.29 5.54 5.83 6.13 6.40 6.75 7.07 7.48 8.108 9 1.82 1.93 2.02 2.12 2.23 2.32 2.41 2.52 2.61 2.72 2.85 2.98 3.13 3.37 3.70 4.44 5.06 5.68 6.589 10 1.73 1.82 1.87 1.92 1.97 2.01 2.07 2.13 2.19 2.25 2.30 2.37 2.44 2.51 2.58 2.67 2.79 2.93 3.129 10 1.73 1.82 1.87 1.92 1.97 2.01 2.07 2.13 2.19 2.25 2.30 2.37 2.44 2.51 2.58 2.67 2.79 2.93 3.1210 11 1.70 1.80 1.86 1.91 1.96 2.00 2.05 2.10 2.15 2.22 2.28 2.34 2.41 2.47 2.54 2.63 2.72 2.83 2.9911 12 1.74 1.82 1.88 1.96 2.03 2.08 2.12 2.18 2.24 2.28 2.33 2.39 2.43 2.50 2.56 2.63 2.72 2.84 3.0112 13 1.73 1.82 1.89 1.95 2.01 2.07 2.12 2.18 2.23 2.29 2.35 2.41 2.46 2.52 2.58 2.67 2.75 2.84 3.0013 14 1.73 1.80 1.87 1.92 1.98 2.03 2.08 2.13 2.18 2.23 2.28 2.36 2.42 2.48 2.54 2.63 2.72 2.83 3.0214 15 1.75 1.85 1.90 1.95 2.00 2.05 2.11 2.17 2.23 2.28 2.33 2.40 2.46 2.53 2.59 2.67 2.76 2.90 3.0715 16 1.73 1.81 1.87 1.92 1.96 2.00 2.05 2.09 2.13 2.18 2.23 2.29 2.36 2.43 2.54 2.65 2.78 2.96 3.1816 17 1.71 1.78 1.84 1.89 1.95 2.00 2.03 2.08 2.12 2.17 2.23 2.28 2.34 2.42 2.49 2.60 2.72 2.85 3.1317 18 1.75 1.82 1.88 1.92 1.97 2.00 2.04 2.09 2.14 2.18 2.22 2.27 2.32 2.37 2.44 2.52 2.63 2.75 2.9718 19 1.72 1.78 1.83 1.87 1.91 1.95 1.98 2.02 2.06 2.10 2.14 2.18 2.23 2.28 2.32 2.40 2.47 2.61 2.8219 20 1.70 1.78 1.84 1.88 1.91 1.96 2.00 2.04 2.08 2.13 2.17 2.21 2.24 2.29 2.35 2.41 2.49 2.61 2.7820 21 1.78 1.84 1.90 1.94 1.99 2.04 2.08 2.11 2.16 2.20 2.23 2.26 2.31 2.37 2.43 2.50 2.58 2.67 2.8021 22 1.73 1.82 1.89 1.92 1.95 1.98 2.01 2.04 2.06 2.10 2.13 2.17 2.20 2.27 2.32 2.39 2.45 2.52 2.6822 23 1.72 1.79 1.85 1.90 1.93 1.96 1.99 2.02 2.04 2.07 2.11 2.14 2.19 2.23 2.29 2.37 2.43 2.50 2.6123 24 1.78 1.82 1.88 1.93 1.95 1.99 2.03 2.05 2.08 2.12 2.15 2.19 2.22 2.25 2.30 2.35 2.42 2.49 2.61

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Next Repeat with VPP DataNext, Repeat with VPP Data

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NB – BTM Weekday 24 Hour ScatterplotT l Ti Pl t US R t 1 NB b t T l h R d d F i f C t P k

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VPP weekday travel time data

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Family of hourly CFD curves - VPP10

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CFD Curve Family - VPPCFD Curve Family VPPFrom To 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80% 85% 90% 95%0 1 1.79 1.83 1.83 1.83 1.86 1.86 1.86 1.90 1.90 1.98 1.98 1.98 1.98 1.98 1.98 1.98 1.98 1.98 1.981 2 1.79 1.79 1.90 1.90 1.90 1.94 1.94 1.94 1.94 1.94 1.94 1.94 1.98 1.98 1.98 1.98 1.98 1.98 2.022 3 1.98 1.98 1.98 2.02 2.02 2.02 2.02 2.02 2.02 2.02 2.02 2.02 2.02 2.07 2.07 2.07 2.07 2.07 2.073 4 1.79 1.79 1.79 1.86 1.94 1.94 1.94 1.94 1.94 1.94 1.94 2.02 2.02 2.04 2.07 2.07 2.07 2.07 2.074 5 1.86 1.86 1.86 1.88 1.90 1.90 1.90 2.00 2.02 2.02 2.02 2.02 2.02 2.02 2.07 2.07 2.07 2.07 2.075 6 1.79 1.86 1.87 1.90 1.94 1.98 1.98 1.98 1.98 1.98 2.02 2.02 2.03 2.03 2.07 2.07 2.07 2.11 2.166 7 1.94 1.98 2.03 2.12 2.21 2.26 2.32 2.38 2.38 2.39 2.50 2.51 2.57 2.58 2.65 2.79 2.88 2.97 3.137 8 2.44 2.60 2.72 2.80 2.98 3.07 3.28 3.39 3.50 3.66 3.81 3.97 4.33 4.76 5.00 5.29 5.61 6.32 6.778 9 1.93 2.02 2.17 2.24 2.33 2.38 2.43 2.44 2.58 2.72 2.88 2.99 3.16 3.52 4.13 4.52 5.28 5.94 6.789 10 1.83 1.87 1.90 1.91 1.94 1.98 1.99 2.03 2.07 2.11 2.12 2.16 2.17 2.17 2.18 2.23 2.29 2.37 2.519 10 1.83 1.87 1.90 1.91 1.94 1.98 1.99 2.03 2.07 2.11 2.12 2.16 2.17 2.17 2.18 2.23 2.29 2.37 2.5110 11 1.86 1.87 1.90 1.94 1.95 1.99 2.02 2.03 2.07 2.08 2.12 2.12 2.12 2.12 2.16 2.17 2.17 2.22 2.3811 12 1.83 1.86 1.90 1.94 1.98 1.99 2.03 2.04 2.11 2.12 2.12 2.12 2.12 2.13 2.16 2.17 2.17 2.18 2.2612 13 1.79 1.87 1.94 1.98 1.99 2.03 2.07 2.08 2.11 2.12 2.12 2.12 2.13 2.17 2.17 2.17 2.17 2.21 2.2713 14 1.79 1.84 1.90 1.94 1.99 2.02 2.03 2.07 2.11 2.12 2.12 2.12 2.12 2.12 2.17 2.17 2.17 2.22 2.2714 15 1.73 1.83 1.87 1.91 1.95 1.98 1.99 2.03 2.07 2.07 2.11 2.12 2.12 2.12 2.12 2.12 2.16 2.16 2.1715 16 1.76 1.80 1.84 1.91 1.93 1.95 2.00 2.07 2.07 2.07 2.07 2.11 2.11 2.12 2.12 2.12 2.13 2.16 2.1816 17 1.76 1.83 1.90 1.90 1.94 1.94 1.98 1.98 2.02 2.02 2.02 2.03 2.04 2.07 2.07 2.07 2.08 2.09 2.1417 18 1.79 1.87 1.90 1.94 1.98 1.98 1.98 1.98 1.99 1.99 2.02 2.02 2.02 2.03 2.03 2.04 2.07 2.07 2.1118 19 1.73 1.79 1.83 1.90 1.94 1.95 1.98 1.98 1.98 1.99 2.02 2.02 2.02 2.02 2.03 2.03 2.03 2.07 2.0719 20 1.76 1.83 1.84 1.90 1.90 1.94 1.98 1.98 1.98 1.98 1.98 1.98 1.99 2.02 2.02 2.02 2.03 2.07 2.0720 21 1.83 1.90 1.94 1.94 1.94 1.94 1.98 1.98 1.98 1.98 1.98 1.98 1.98 2.02 2.02 2.02 2.03 2.07 2.0721 22 1.70 1.79 1.83 1.86 1.90 1.91 1.94 1.94 1.94 1.98 1.98 1.98 1.98 1.98 1.98 1.98 2.02 2.02 2.0722 23 1.74 1.76 1.83 1.83 1.83 1.90 1.90 1.92 1.98 1.98 1.98 1.98 1.98 1.98 1.98 2.00 2.02 2.02 2.0723 24 1.67 1.90 1.90 1.90 1.90 1.94 1.94 1.94 1.94 1.94 1.98 1.98 1.98 1.98 2.02 2.02 2.02 2.02 2.02

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Calculation of PM from CFDs• Travel Time Index

– Average / Freeflow P50 / P15• Planning Time Index

– 95th PCT / Freeflow P95 / P15• Buffer IndexBuffer Index

– Extra time above average (P95 – P50)/P50• Inter Quartile Range• Inter-Quartile Range

– 75th PCT – 25th PCT P75 – P25

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Direct Comparison of PM - NBDirect Comparison of PM NB

From To VPP BTM VPP BTM VPP BTM VPP BTMTravel Time Index Planning Time Index Buffer Index Inter Quartile Range

From To VPP BTM VPP BTM VPP BTM VPP BTM6 7 1.18 1.29 1.54 2.01 0.31 0.56 0.44 0.947 8 1.34 1.77 2.49 2.84 0.85 0.61 2.02 2.868 9 1.25 1.34 3.13 3.25 1.49 1.42 1.80 1.479 10 1.11 1.21 1.32 1.67 0.19 0.39 0.23 0.6110 11 1.09 1.19 1.25 1.61 0.14 0.35 0.22 0.5811 12 1.11 1.21 1.19 1.60 0.07 0.32 0.19 0.5312 13 1.09 1.21 1.17 1.58 0.07 0.31 0.17 0.5713 14 1.11 1.20 1.19 1.62 0.07 0.35 0.18 0.5614 15 1.11 1.20 1.16 1.62 0.05 0.35 0.17 0.5915 16 1.13 1.16 1.19 1.70 0.05 0.46 0.19 0.5816 17 1.07 1.18 1.13 1.70 0.06 0.44 0.13 0.5417 18 1.05 1.16 1.11 1.58 0.06 0.36 0.06 0.4718 19 1.09 1.15 1.13 1.54 0.04 0.34 0.09 0.4219 20 1.08 1.16 1.12 1.51 0.04 0.31 0.12 0.440 24 1.09 1.21 2.08 2.96 0.91 1.44 0.19 0.77

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SouthboundUS 1, VA

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24 Hour Overlay Scatterplot - BTMUS - 1 Southbound between Fairfax County Parkway and Telegraph Road

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www.I95Coalition.org I-95 Corridor Coalition Vehicle Probe Project 3AM 6AM 9AM 12PM 3PM 6PM 9PM 12AM

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24 Hour Overlay Scatterplot – VPP24 Hour Overlay Scatterplot VPPTravel Time Plot - US Route 1 SB - between Fairfax County Parkway and Telegraph Road

VPP weekday travel time data

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Family of hourly CFD curves - VPP4

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100Comparison of BTM & VPP at 5 PM

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Direct Comparison of PM - SBDirect Comparison of PM SB

From To VPP BTM VPP BTM VPP BTM VPP BTMTravel Time Index Planning Time Index Buffer Index Inter Quartile Range

From To VPP BTM VPP BTM VPP BTM VPP BTM5 6 1.08 1.19 1.13 1.99 0.04 0.68 0.12 0.786 7 1.06 1.24 1.17 2.16 0.10 0.74 0.13 1.157 8 1.05 1.23 1.25 2.17 0.20 0.77 0.10 1.088 9 1.03 1.25 1.26 2.05 0.23 0.64 0.08 0.979 10 1.09 1.18 1.42 1.90 0.30 0.62 0.14 0.8210 11 1.11 1.19 1.43 1.74 0.29 0.46 0.19 0.7211 12 1.11 1.20 1.33 1.71 0.19 0.43 0.17 0.7512 13 1.12 1.18 1.30 1.73 0.17 0.46 0.20 0.7313 14 1.12 1.22 1.34 1.74 0.20 0.43 0.20 0.7814 15 1.14 1.21 1.33 1.77 0.17 0.46 0.26 0.8015 16 1.17 1.15 1.31 1.85 0.13 0.61 0.30 0.8016 17 1.12 1.14 1.26 1.82 0.13 0.60 0.38 0.7717 18 1.17 1.12 1.36 1.91 0.17 0.71 0.29 0.7018 19 1.09 1.11 1.23 1.62 0.12 0.46 0.27 0.3719 20 1.02 1.15 1.16 1.63 0.13 0.42 0.09 0.53

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SummarySummary• Arterial performance measures / validation

are intrinsically linked• Sampled distributions (Histograms and p ( g

CFDs) form basis of analysis• Incorporates and extends Freeway PMIncorporates and extends Freeway PM

using functions over CFD• Provides path to quantify effectiveness of• Provides path to quantify effectiveness of

VPP for arterial PM

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Moving Forwardg• Complete Case Studies with CFD

analysisanalysis• Develop distribution analysis tools for

ith VPP A hi d tuse with VPP Archive data• Target and emphasize additional arterial

validation• Extend to real-time PM / Validation

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Overview & History of VPP Arterial ValidationValidationPhase 1 – Initial Investigation Ph 2 C St diPhase 2 – Case Studies Phase 3 – Quantifying EffectivenessQuestions and Discussions

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REMINDERREMINDERUpcoming Meeting

February 13 2013February 13, 2013 –VPP Team Webcast

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Thank You

Marygrace Parker518-852-4083 or [email protected]

Stan YoungStan Young301-403-4593 or [email protected]

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