Researchers at the Future Urban Mobility (FM) interdisciplinary research group atSingapore-MIT Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, have created a synthetic framework known as theory-based residual neural network (TB-ResNet), which combines discrete choice models (DCMs) and deep neural networks (DNNs), also known as deep learning, to improve individual decision-making analysis used in travel behavior research. In their paper, “Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks,” recently published in the journal Transportation Research: Part B, SMART researchers explain their…
