Dr. Vince Bernardin is a Vice President of Caliper Corporation based in Indiana. Vince has project experience in twenty-seven states and three continents developing and applying statewide, urban, and corridor-level travel forecasting models for both plan development and major project studies. He has managed and contributed to the development of more statewide models than anyone else. He is best known for his pioneering work with big data and for his development of innovative modeling approaches. Dr. Bernardin has been at the forefront of data-driven travel modeling and forecasting using big data for a decade. He was the first to use big data for statewide modeling (2010) and activity-based modeling (2016). Vince holds a PhD from Northwestern and has published on a wide variety of topics including passive data expansion and data driven modeling methods, hybrid modeling methods, advanced destination choice models, joint destination and mode choice models, the complexity of travel patterns made using public transit, and carbon accounting methods for major highway investments. He is an active member of TRB, currently serving as Chair of the Urban Big Data Subcommittee and previously serving as Chair of the Planning Applications Conference as well as a member of several standing committees.

Gaurav Vyas is a Product Manager at Bentley Systems. His areas of analytical expertise include estimation of econometric models, data analysis, and travel behavior research. He has experience modeling intra-household interactions, implementing discrete choice models, modeling Autonomous vehicles in the regional travel model, and synthesizing population to support travel models.

Andrew Rohne is a senior consultant at RSG with over 15 years of experience in transportation data and modeling. Prior to joining RSG 2 years ago, he worked at the Ohio-Kentucky-Indiana Regional Council of Governments for 11 years, and prior to that a consultant at Tindale-Oliver and Associates for 5 years. He has significant experience in traffic data collection, big data analysis and modeling, model applications in long range planning, choice modeling, and machine learning.

Kevin is a Senior Transportation Modeller with HBA Specto; he has 20 years of modelling experience across Canada, the US, Australia and beyond.

John Gliebe, Ph.D., is a Senior Travel Demand Modeler for Cambridge Systematics (CS) with 25 years of experience as a consultant, public agency planner, and university faculty member. As a consultant, John has developed and applied multi-modal household and commercial-freight travel forecasting models for Federal, State, and metropolitan clients. His technical leadership roles have included specifying model designs and algorithms, including econometric and simulation components; and estimating, calibrating, and testing models. He also has applied data-driven methods using location based services (LBS) data to analyze transit market sheds.

As a Chief Transportation Planner with the Boston MPO, John led updates to the regional/statewide travel model to meet agency needs for long-range planning, air-quality analysis, equity analysis, transit corridor studies, and development impact analysis. As an Assistant Professor at Portland State University, he led student research into advanced modeling methods and taught courses in transportation planning, travel demand modelling, and discrete choice modeling. He is a current member of TRB’s Committee on Effects of Information and Communication Technologies on Travel Choices and served on the Committee on Travel Behavior and Values from 2008 to 2017.