A Domain-Informed Deep Learning Framework for Trip-Purpose Prediction from Household Travel Survey Data
Trip-purpose identification is fundamental to travel-demand modelling because it links observed movements to the behavioral motivations behind them. This study benchmarks domain-informed deep learning for 20-class trip-purpose prediction using the 2015 Southeast Michigan (SEMCOG) household travel survey (89,740 trips f...