Free Webinar: Applications for the Environment: Real-Time Information Synthesis (AERIS) State of the Practice Assessments

January 31, 2011 at 8:29 pm

When: February 9, 2011  @ 1:00–2:30 P.M. Eastern Time

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This webinar will summarize findings from two state of the practice assessments conducted for the USDOT‘s AERIS program. The first assessment identified applications that have demonstrated environmental benefits through use of Intelligent Transportation System (ITS) technologies. The second assessment focused on techniques that could be used to evaluate the environmental impacts of ITS deployments. The webinar will address the following topics:

  • AERIS State of the Practice Assessments: Chris Pangilinan of USDOT will lead the webinar with an overview of AERIS state-of-the-practice assessments.
  • Findings from the AERIS Applications State-of-the-Practice Assessment: Katie Miller of Noblis will discuss demand and access management applications, eco-driving applications, logistics and fleet management applications, traffic management applications, as well as freight and transit applications. She will also discuss how ITS can potentially support use of alternative fuel vehicles.
  • State of the Practice of Techniques for Evaluating the Environmental Impacts of ITS Deployment: Richard Glassco of Noblis will discuss evaluation techniques in three categories including direct measurements of vehicle emissions and fuel use, infrastructure-based air quality measurements, and modeling.


The transport sector accounts for approximately 28 percent of greenhouse gas in the U.S. Vehicles represent almost 80 percent of transport sector greenhouse gas. ITS can play a vital role in reducing vehicle miles traveled, improving vehicle efficiency, and reducing petroleum consumption—all of which can reduce greenhouse gas emissions.

The AERIS program was launched in 2010 and is currently sponsoring research and working with stakeholders to assess the ways in which real-time transportation system data could improve the operation of the surface transportation network. The AERIS program vision is to generate, capture, and analyze vehicle-to-vehicle and vehicle-to-infrastructure data to create actionable information that allows surface transportation system users and operators to make “green” transportation choices. The program aims to leverage existing and future research, data sets, and technologies to develop, enhance, and model ITS applications that are proven to reduce the negative impacts of transportation on the environment. Another program goal is to explore how AERIS data sets may improve or validate assumptions of environmental and other models.

Learning Objectives

  • Understand AERIS program foundational research activities.
  • Learn more and stimulate creative thinking about potential applications of real-time data to reduce vehicle emissions.
  • Learn about methods to evaluate the environmental benefits of ITS deployment.

Intended Audience:

State and local DOT staff, policy researchers, ITS software and system developers, environmental advocates, consultants, academics, and others with an interest in the potential to use real-time transportation system data to reduce environmental impacts.


Chris Pangilinan, Special Assistant to the Deputy Administrator, USDOT Research and Innovative Technology Administration
Chris Pangilinan is the Special Assistant to the Deputy Administrator of the Research and Innovative Technology Administration (RITA) at USDOT. Prior to joining the USDOT, Chris was a transportation engineer and planner at the San Francisco Municipal Transportation Agency (SFMTA), the city’s DOT and transit agency. Chris’s work in transit operations and planning while at the SFMTA provides the transit experience that he is able to bring to the AERIS team. He earned his undergraduate degree in Civil Engineering at Portland State University and his Master’s degree in Transportation at the Massachusetts Institute of Technology. Chris is a registered Civil Engineer in the State of California.


Katie Miller, Lead Sustainability Analyst, Noblis Center for Sustainability
Katie is a Lead Sustainability Analyst within the Noblis Center for Sustainability where she manages projects relating to greenhouse gas emissions issues. Prior to joining Noblis, Katie was a Program Manager for the US General Services Administration (GSA). She led sustainable supply chain initiatives for the agency and served as the lead author for the Executive Order 13514 Section 13 Recommendations for Vendor and Contractor Emissions, including designing an interagency implementation strategy for the recommendations. Her prior experience includes serving as a Senior Program Manager at the White House Council on Environmental Quality’s Office of the Federal Environmental Executive and managing the GSA Fleet National Alternative Fuel Vehicle Program. Katie holds a Master of Arts in Environmental and Natural Resource Policy from George Washington University and a Bachelor of Arts in Geography from Millersville University.

Richard Glassco, Principal Systems Modeler, Noblis Transportation Systems Division
Richard Glassco is a Principal Systems Modeler at Noblis, Inc. He has 30 years experience in simulation, modeling, and data analysis, including 17 years in the field of Intelligent Transportation Systems. His other specialties are ITS standards, road weather management, and evaluation of safety systems. Before joining Noblis he consulted with the Federal Systems Integration and Management Center. He has a B.A. in Mathematics from Cornell University and an M.S. in Operations Research from George Washington University.

This webinar is brought to you by the U.S. Department of Transportation’s (USDOT) ITS Joint Program Office, Research and Innovative Technology Administration (RITA). Reference in this webinar to any specific commercial products, processes, or services, or the use of any trade, firm or corporation name is for the information and convenience of the public, and does not constitute endorsement, recommendation, or favoring by U.S. Department of Transportation.

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