Data to Support Performance Targets for Meeting National Goals

www.i95Coalition.org

Data to Support Performance Targets for Meeting National Goals

AASHTO Performance Management CommitteeFebruary 24, 2009

George Schoener, Executive DirectorI-95 Corridor Coalition


Use of Travel Time and Speed for Measuring Performance

Congestion and System Operations

Freight

Environment


Uses of Travel Time/Speed Data: Congestion and System Operations

Can be used to support congestion and reliability metrics• Delay, Travel Time Index

Probe data provide coverage on most highways, not just those with instrumentation, but volumes cannot be obtained • Need to supplement with traditional traffic counts to

combine with travel times to estimate delay


Uses of Travel Time/Speed Data: Freight

Average speed on Interstate/NHS corridors• Fleet data ideally suited to long distance travel

• Current examples• ATRI “National Speed Maps”

• I-95 Corridor Coalition project on intercity travel time performance

Average time to cross borders• May require special processing of fleet data by

vendors


Uses of Travel Time/Speed Data: Environment

Transportation-related air quality emissions• Can provide detailed speed measurements for

emissions models • Moves away from predicting speeds with models

• Time of day by facility

Green house gas emissions• Speed also a key determinant of fuel consumption

and CO2 production from vehicles


What We Get: I-95 Corridor Coalition Demonstration with

INRIX

Data• Current Speeds/Travel Times

• Historical and Free Flow Speeds

• For Segments between interchanges

• Updated every minute

Coverage (as of Feb ‘09)• Freeways: 2857 miles

• Arterials: 870 miles

• From NJ to NC

• ~ 9000 Road Segments

• Easy to add/change coverage

Liberal Use Rights• Any agency use

• Real-time or off-line

• Can archive data

• Can’t resell/ redistribute to 3rd parties

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Data Quality Contract Requirements/Agency Needs: Avg Error < 10 MPH Data meets contract quality specifications Coalition/UMd utilized novel “Bluetooth” approach for

evaluation• Largest evaluation ever of this kind in U.S.

• 54 segments, 111 miles

• 1,500+ hours,19,000+ observations

• 4 states over 4 months

Quality monitoring ongoing• Payment tied to quality

Speed Range (MPH)

Average Absolute Error (MPH)

< 30 5.930-45 6.945-60 2.3> 60 2.3

Overall 2.5


What It Costs Per centerline mile fees Limited Access Roadways

• Mobilization: $150/mile (one time fee)

• Data Costs: $750/mile (annual fee)

• << Less than sensor O&M costs

Arterials/State Highways• Exact fees TBD

• Likely less than above

• ~850 miles free for 3 yrs


INRIX Source Data

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• Taxis, limos, airport shuttles• Service delivery vehicles• Long haul trucks and Less than

Truckload (LTL) vehicles

• Loop sensors• Radar detectors

• Cellular probe data• Toll tags

Benefits

• Coverage• Data Accuracy


• Billions of data points, average latency of 2-7 minutes, 24x7

• Majority of vehicles exclusive to INRIX

• Broad mix of vehicle/fleet types, driving patterns

• Constant data through day, particularly during commute hours

GPS Probe Data Overview


Mobility“Is the road I’m traveling on reliable?”

Using INRIX data, summarize applicable datasets to determine the following candidate system performance measures:• Average Travel Time

• 95% Reliable Travel Time

• Average Duration of Congestion

• Travel Time Index Compare differentials of these measures on an annual basis

(e.g., changes between 2007 and 2008). • Can be presented system-wide, by road type (e.g.; interstate

vs. arterial) or selected travel corridors.

10 Year Target:No increase in the above measures over an established baseline (e.g.; 2008)

Business

Data to Support Performance Targets for Meeting National Goals