TMIP Webinar - Introducing the Exploratory Modeling and Analysis Tool (TMIP-EMAT)


The first  webinar of TMIP Exploratory Modeling and Analysis (EMA) series.

Session Description

Emerging connected and autonomous vehicle technology, new mobility services, and changing travel patterns will potentially have significant impacts on future surface transportation operations and travel demand. The dimensions and depth of uncertainty around the potential impacts due to changing travel behavior and emerging technologies call for a more comprehensive and exploratory approach to planning future mobility. This webinar will describe the concepts and overall framework behind the development of the Travel Model Improvement Program Exploratory Modeling and Analysis Tool (TMIP-EMAT), a utility to be integrated with existing travel forecasting models to facilitate the application of these models in an exploratory, rather than predictive, manner. Illustrative examples from the proof of concept deployment of TMIP-EMAT using the Greater Buffalo-Niagara Regional Transportation Council (GBNRTC) regional travel demand model will be presented. Also, as part of this webinar, we are extending an invitation to agencies to take part in the next round of test deployments.


Martin Milkovits is a Senior Associate in the Travel Demand Forecasting business line at Cambridge Systematics. He is the Project Manager on the FHWA-sponsored research project into Exploratory Modeling and Simulation with the goal of incorporating uncertainty into the modeling and planning process. Mr. Milkovits has been involved in the design, development and testing of ACES future mobility conditions in regional travel models in several areas, including FDOT District 4, Colorado DOT, and through the recent development of a future mobility tool to evaluate GHG emissions for the City of Boston. Mr. Milkovits holds a BA in Philosophy of Mathematics from Colby College, an MS in Computer Science from Rivier College, and an SM in Transportation from Massachusetts Institute of Technology. He is a member of the Transportation Research Board Planning Applications Committee.

Rachel Copperman is a Senior Associate in the Travel Demand Forecasting business line at Cambridge Systematics. Dr. Copperman has experience in Travel Demand Modeling and Forecasting, Travel Survey Methods, and measuring uncertainty within the travel forecasting process. She is currently leading the development and application of the California High-Speed Rail Ridership and Revenue Forecasting model, overseeing ridership forecasting for San Antonio’s transit agency, and developing an exploratory modeling analysis tool for incorporating uncertainty into the travel demand process. Dr. Copperman received a Doctorate and Master’s degree in Transportation Engineering from the University of Texas at Austin, and a Bachelor of Science degree in Systems Engineering from the University of Virginia.

Stacy Cook, AICP is a Senior Associate in the Integrated Planning and Implementation business line at Cambridge Systematics, with experience in regional and urban transportation planning and more than 9 years of experience in multimodal transportation and land use planning and coordination. Ms. Cook supports agencies in navigating change, such as adapting to new technologies, and managing growth, land use, and transportation investments to create vibrant, walkable communities and improve regional access and mobility. Ms. Cook is currently supporting development of the Maryland Strategic Vision and Plan for Connected and Automated Vehicles, and recently supported the development of the Virginia Automated Vehicle Strategic Plan, and the Charlotte Council of Governments (CCOG) Automated and Connected Vehicle Roadmap, for which she is currently supporting implementation. Ms. Cook graduated with a M.S., Urban and Regional Planning, and a Certificate in Transportation Management and Policy, from the University of Wisconsin – Madison in 2009.