Date: Thursday, October 16, 2008
Time: 2:30pm - 4:30pm Eastern Time
Transportation modelers who have a low to moderate level of familiarity with the estimation and validation of travel models.
This series of webinars will introduce the development of model estimation data sets, the structures of the various model components, and the procedures for estimating models. The workshop will include lectures, discussion, and "homework," that participants will be expected to complete between sessions.
This first session will be an introduction to the entire series covering definitions of various model types used in transportation planning, including multinomial and nested logit models.
Thomas Rossi is a Principal of Cambridge Systematics with 25 years of experience in transportation planning and travel demand forecasting. He has developed and applied trip based and activity based models throughout the U.S. For the past 15 years, Tom has been a consultant to USDOT for model improvement research and development/teaching of training courses. He is the Chairman of TRB Committee on Transportation Demand Forecasting. Tom holds Bachelor's degrees in Civil Engineering and mathematics and a Master's degree in Transportation from the Massachusetts Institute of Technology.
Yasasvi D. Popuri is a Senior Associate of Cambridge Systematics with experience in the fields of travel demand forecasting, discrete choice modeling, market research analysis, geographical information systems (GIS), and transportation planning. He has managed projects involving transit ridership forecasting, travel model estimation, and freight modeling. Mr. Popuri received a Master's degree in Transportation Systems Engineering from the University of Texas at Austin, and a Bachelor's degree of Technology from the Indian Institute of Technology at Madras.
This webinar is the equivalent of two (2) professional development hours (PDHs). TMIP does not issue certificates of attendance. If you attend the webinar, please save the information on this page for your files.