Breakthrough in travel behavior research with artificial neural networks

Researchers at the Future Urban Mobility Interdisciplinary Research Group at Singapore-MIT Alliance for Research and Technology, MIT's research enterprise in Singapore, have created a synthetic framework known as a 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 for travel behavior research.