FMRI Webinar: Transforming Network Equilibrium Analysis Paradigm via End-to-End Learning скачать в хорошем качестве

FMRI Webinar: Transforming Network Equilibrium Analysis Paradigm via End-to-End Learning

Presented by Dr. Yafeng Yin, Professor and Interim Department Chair, Department of Civil and Environmental Engineering University of Michigan, Ann Arbor. In this presentation, Dr. Yin will share some results from their recent research that intends to transform transportation network equilibrium modeling paradigm via end-to-end learning. Their research was motivated by observing that existing equilibrium analysis paradigm has been established via a "bottom-up" approach, in which, e.g., the selection of behavior model for travel choices or the calibration of the supply function, is divorced from the end goal of the model building, i.e., prescribing an equilibrium flow distribution that matches observations as closely as possible. Leveraging recent advancements in game theory and machine learning, they hope to develop an end-to-end framework that directly learns the demand- or/and supply-side components and the equilibrium state from empirical data. FMRI Events Page: http://eng.fau.edu/research/fmri/events/