14th International Workshop on Computational Transportation Science
(IWCTS 2021) (co-located with ACM SIGSPATIAL 2021)

Beijing, China
November 2, 2021


Recent Advances in Understanding and Modeling Travel Behavior in Digital Era

Dr. Peter Vovsha
Dr. Peter Vovsha

ABSTRACT: The presentation summarizes recent advances in development and application of travel behavior models with the emphasis on Agent-Based Modeling, taking advantage on new data sources, and forecasting future scenarios. It describes the underlying theoretical paradigms behind the models of travel behavior and impacts of the digital era, historical evolution of applied Agent-Based Models in transportation, methods for model training and calibration, software platforms and key implementation aspects, as well as approaches to formation of future scenarios. The flexibility and prediction power of the new generation of Agent-Based model is illustrated on the example of a scenario for a large city that adopted Autonomous Vehicles.

BIOGRAPHY: Dr. Peter Vovsha leads the travel modeling practice at INRO (now part of the Bentley System) where as VP, he guides travel modeling methodology research and development. Peter has spent the majority of his career advancing travel modeling theory and practice and has numerous publications in such fields as discrete choice models, regional model system design, behavioral research, and activity-based modeling. He is the main architect of the Agent software developed by INRO to support a wide range of advanced agent-based and activity-based models.

Dr. Vovsha led the conceptual design and pioneered practical applications of advanced agent-based, activity-based, and tour-based travel models for such major cities as New York, Atlanta, San-Francisco, Phoenix, Chicago, Los Angeles, Columbus, Cincinnati, San Diego, Jerusalem, Montreal, and Ottawa. He is an internationally recognized expert in Agent-based and activity-based models He has been also intensively working in the fields of road pricing, travel time reliability, and integrated microsimulation models while managing large-scale research projects for the US Transportation Research Board (TRB).

Dr. Vovsha is internationally recognized for his scientific contributions to the field including the cross-nested logit model, activity-based models with intrahousehold interactions, original methods for incorporation of travel time reliability, novel methods for population synthesis, and recently, addressing new forms of mobility such as Autonomous Vehicles, all of which have been applied on a world scale.