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October 29, 2014 IEEE Big Data
Presentation Outline
- EAR Program Background
- Investments in Data Science
for Highway Research
- Opportunities and Challenges
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Opportunities in Highway Transportation IEEE Big Data October 29, - - PowerPoint PPT Presentation
Opportunities in Highway Transportation IEEE Big Data October 29, - - PowerPoint PPT Presentation
Data Science Challenges and Opportunities in Highway Transportation IEEE Big Data October 29, 2014 Presentation Outline EAR Program Background Investments in Data Science for Highway Research Opportunities and Challenges October
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What is the EAR Program?
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Key Processes
- Focus on high-risk, high payoff
research
- Merit review is used to enhance the
quality of research processes and results
- Research stakeholders are
involved throughout
- Commitment to successful project
handoff
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Program Status
- 200+ Initial stage investigations
- Seven solicitations resulting in
– 75 projects awarded; 36 ongoing – $72M federal, $26M match
- 8th closed in 2014
– Topics: Structural assessment, safety data, freight data, freight modeling
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Focus Areas
Connected highway system concepts Breakthrough concepts in material science Human behavior and travel choices New technology and advanced policies for energy and resource conservation Technology for assessing performance
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Connected Highway Systems
- New Data
– Real time data, data fusion, data analytics
- New Communications
– DSRC, Cellular, etc.
- Enabling Technologies
– Localization and mapping – Extended situational awareness – Adaptive control systems
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Human Behavior
- Massive New Data
– Naturalistic driving studies – Communications metadata – Social networking
- Enabling Technologies
– Automation – Predictive modeling – Real time, large scale markets
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Assessing Performance
- Massive New Data
– Roadside sensors – Vehicle based sensors – Structural monitoring
- Predictive Modeling
– Actionable information
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Opportunities
- Use of data to improve
– Highway safety – Asset conditions – System reliability, efficiency – Energy, resource sustainability
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Challenges
- Scientific
– Valid – Reproducible
- Operational
– Actionable – Efficient – Accessible – Secure – Flexible
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October 29, 2014 IEEE Big Data
EAR Program website
www.fhwa.dot.gov/advancedresearch
David Kuehn Program Manager (202) 493-3414
david.kuehn@dot.gov
Thank You
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