SMART breakthrough uses artificial neural networks to enhance travel behavior research
Previous image Next image 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. Transportation Research: Part B, SMART researchers explain their developed TB-ResNet framework and demonstra...