Travel Modeling Workshop Session 2: Data Set Preparation for Model Estimation

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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 session will focus on how data sets are developed for model estimation. The session will cover the role of data in the estimation process, and the data development process for different types of model components. These components will include household level models such as trip production, trip level models such as mode choice, and aggregate models such as gravity models. The creation of data sets from common sources such as household surveys, including definition of typical fields and records, and combining data from more than one source, will be covered. The homework for the session will be an exercise to set up a small model estimation data set.

Thomas Rossi, Cambridge Systematics, Inc.
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 Popuri, Cambridge Systematics, Inc.
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.

TMIP Online Event
Travel Modeling Workshop Session 2 - Data Set Preparation for Model Estimation

Intended Audience
Transportation modelers who have a low to moderate level of familiarity with the estimation and validation of travel models.

Continuing Education
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.

Item Type
Recorded Webinar

Related Items
Travel Modeling Workshop Session 1: Introduction
Travel Modeling Workshop Session 3: Estimation of Non-Logit Models

TMIP Subject Categories
Travel demand modeling