Innovation for better mobility 1

2015 ITE Mid Colonial District Annual Meeting

Performance Based Transportation System Planning Tools

Mike Post, Iteris, Inc.

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Agenda

• Performance Measurement & Monitoring

– What does it take

– The overwhelming amount of data

• Automation

• Case Studies

• The Future

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Key Factors to Success

• Need to develop/identify key metrics

– Specific for the intended application

– Consider your audience

• Based on metrics, identify key data needs

– What you measure is what you get, because what you choose to measure is what you are likely to pay attention

Need to Have a Balanced Scorecard

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Balanced Score Card

• The Triple Bottom Line (The 3 Ps):

– Profit: Economic vitality

– People: Quality of life

– Planet: Sustainability

Elkington, J., “Cannibals with Forks: the Triple Bottom Line of 21st Century Business”, Capstone, 1997

The Trick is Measuring It!

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Automating the Decision Making Process

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Case Study: iPeMS for PA Turnpike

Data we are collecting:

– Tag Reader Data

• Bluetooth readers

• Toll Tag readers

– Third Party Data

• INRIX speeds and travel times

– Incidents

– Dynamic Message Signs messages

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The Source of All Data

• Massive Data Capabilities • Not Useful In Raw Form

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Examples of Data Processed

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A More Detailed Look

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Case Study:

Highway Performance Monitoring

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Case Study:

Highway Performance Monitoring

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Case Study:

Highway Performance Monitoring

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Case Study:

Arterial Performance Monitoring

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Case Study:

Arterial Performance Monitoring

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Customer: Arlington County, VA

Phased Upgrade Project To Include Travel Times.

Interface with Existing Daktronics Vanguard Software

Expanded to Other Arterials Without Sign Display To Gain Data

Case Study: Arlington County

Lee Hwy – 5.3 miles

Rt. 50 – 4.5 miles

Col. Pike – 3.2 miles

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Case Study: iPeMS for PennDOT

Data we are collecting:

– Tag Reader Data

• Bluetooth readers

• Toll Tag readers

– Third Party Data

• INRIX speeds and travel times

– Incidents

– Dynamic Message Signs messages

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INRIX real-time data

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Level of Service

84

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Case Study:

Chicago’s Divvy Bike Sharing Program

Source: Jessica Baker, Divvy Bike Challenge Best Overall Visualization Winner

Taylor Blackburn and Laura Ettedgui, Divvy Bike Challenge Most Comprehensive Winner

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The Future

• Connected Vehicles will introduce new data sets to the market

• Consumers increasingly require personalized information, NOW!

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Summary

• Lots of data and more each day!

– What is your big data strategy

– Finding the best data that fits your needs

• Proper use of Analytics!

• Key is to identify the proper KPI’s

• Think about the users

• Who are they

• What are their needs

• Push information out to users

– Mobile apps

– Performance dashboards

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Questions and Comments

www.iteris.com

Mike Post

Iteris, Inc. mjp@iteris.com 267-374-8718