David B. Reinke is a senior transportation engineer/economist with Dowling Associates, Inc. He has over 25 years of experience in statistical analysis, machine learning, transportation economics, travel demand modeling, surveys, database management, and software engineering. He has worked on a number of leading-edge projects in travel demand and economics, including development of activity-based travel demand models, development of discrete-choice travel forecasting models, development of microsimulation-based models for analysis of congestion pricing alternatives, and applications of economic methods to regional policy analysis; he recently implemented a large-scale microsimulation demand model for analysis of air quality effects of transportation system capacity increases.
David specializes in applications of modern statistical methods and machine learning to advanced travel models; past projects include developing a statewide model for forecasting motor vehicle stock, vehicle-miles of travel, and fuel consumption for Caltrans; developing nonlinear speed/flow models for the Southern California Association of Governments; and development of statistical models of travel time reliability related to operational and geometric factors for the Strategic Highway Research Program.
He currently serves on the following Transportation Research Board Committees: Artificial Intelligence and Advanced Computing Applications (ABJ70) (chair, Research Subcommittee), Statistical Methods in Transportation (ABJ80), and Traveler Behavior and Values (ABE10). Mr. Reinke has a B.S. in Electrical Engineering from the Massachusetts Institute of Technology, a Master of Regional Planning degree from Cornell University, and a M.S. in Transportation Systems Engineering from the University of California, Berkeley.
www.dowlinginc.com for more information.