A hybrid model for driver route choice incorporating en-route attributes and real-time information effects

The en-route driver behavior problem under information provision is characterized by subjective and linguistic variables, in addition to situational factors. Fuzzy modeling provides a robust mechanism to capture subjectivity and/or the linguistic nature of the causal variables. This motivates the development of a hybrid en-route route choice model that combines quantitative and fuzzy variables to more robustly predict driver routing decisions under information provision. Simulation experiments are conducted to analyze the ability of the hybrid model to capture en-route driver behavior effects in the within-day and day-to-day contexts.