Notes
Slide Show
Outline
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"Marcia Pincus"
  • Marcia Pincus
  • Program Manager, Environment (AERIS) and ITS Evaluation
  • USDOT Research and Innovative Technology Administration


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Overview
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What is Connected Vehicle Research?
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Why Is Connected Vehicle Research Needed?
  • USDOT connected vehicle research aims to tackle some of the biggest challenges in the surface transportation industry in the areas of safety, mobility, and environment
    • Safety | In 2009, there were 5.5 million crashes, resulting in 33,808 fatalities and 2.2 million injuries. Motor vehicle crashes are the leading cause of death for people ages 3 through 34.
    • Mobility | U.S. highway users waste 4.8 billion hours a year stuck in traffic – nearly one full work week (or vacation week) for every traveler. The overall cost (based on wasted fuel and lost productivity) reached $115 billion in 2009 – more than $808 for every U.S. traveler. Delays in truck operations alone resulted in $33 billion in wasted fuel and lost productivity.
    • Environment | The total amount of wasted fuel topped 1.9 billion gallons in 2010 according to the Texas Transportation Institute’s Urban Mobility Report.
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Transportation and the Environment
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AERIS Research Objectives
  • Vision | Cleaner Air through Smarter Transportation
  • Objectives | Investigate whether it is possible and feasible to:
    • Generate/capture environmentally-relevant real-time transportation data (from vehicles and the system)
    • Use this environmental data to create actionable information that can be used by system users and operators to facilitate “green” transportation choices for all modes
    • Assess whether doing these things yields good enough environmental benefits to justify further investment by the USDOT


    • TRANSFORMATIVE and INNOVATIVE
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The AERIS Program
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Track 1: Establish the Foundation
  • Broad Agency Announcement (BAA) Research Projects


    • Purpose of Issuing the BAA:
      • To expand knowledge of and experience with implementation of ITS applications to improve environmental performance by leveraging partners’ research results and investments

    • Objectives of BAA Research:
      • Foster innovative research on ITS applications that improve environmental performance, and possibly develop new applications
      • Promote capture and management of real-time data that are relevant to environmental applications development and performance measurement
      • Support development and enhancement of evaluation techniques, performance measurement, and technologies to capture environmentally-relevant data
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"An Evaluation of Likely Environmental..."
  • An Evaluation of Likely Environmental Benefits of Lowest Fuel Consumption Route Guidance in the Buffalo-Niagara Metropolitan Area | University at Buffalo
  • Developing and Evaluating Intelligent Eco-Drive Application | Virginia Tech
  • Developing Eco-Adaptive Signalized Intersection Algorithms | Virginia Tech
  • Preliminary System Development Plan for an AERIS Data Capture and Management System | Mixon Hill
  • Eco-ITS | University of California – Riverside (UCR)
  • Assessment, Fusion, and Modeling of Commercial Vehicle Engine Control Unit Data | Calmar Telematics and UCR
  • Engaging the International Community | University of California Partners for Advanced Transit and Highways (PATH) Program
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AERIS Fall/Winter Webinar Series
  • AERIS Broad Agency Announcement Foundational Research: Webinar #1
  • Wednesday, September 14, 2011    1:00 p.m. ET


  • ARIES State-of-the-Practice Modeling Assessments Webinar
  • Wednesday, October 5, 2011 1:00 p.m. ET


  • AERIS Broad Agency Announcement Foundational Research: Webinar #2
  • Wednesday, November 9, 2011 1:00 p.m. ET


  • AERIS Broad Agency Announcement Foundational Research: Webinar #3
  • Wednesday, December 14, 2011     1:00 p.m. ET


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Today’s Webinar
  • ECO-ITS: Intelligent Transportation System Applications to Reduce Environmental Impact
    • Matthew Barth and Kanok Boriboonsomsin, University of California-Riverside


  • An Evaluation of Likely Environmental Benefits of a Time-dependent Green Routing System in the Greater Buffalo-Niagara Region
    • Adel Sadek and Liya Guo, University at Buffalo, the State University of New York



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