The role of congestion and information on trip-makers' dynamic decision processes, particularly commuters' route- and departure-time-switching behavior, is investigated. Using data from interactive simulation experiments, indifference bands for route- and departure-time-switching decisions are calibrated based on a boundedly rational behavioral framework. Trip-maker behavior is influenced not only by the magnitude of congestion but also by its day-to-day evolution. Both information quality and the interaction between information, behavioral inertia, and traffic supply conditions are significant determinants of behavior. Trip-makers' short-term and longer-term experiences in traffic strongly influence route- and departure-time-switching decisions. These findings have important implications for dynamic traffic modeling, network state prediction, design of Advanced Traveler Information Systems products and services, and assessment of Intelligent Transportation Systems impacts.
ASJC Scopus subject areas
- Civil and Structural Engineering
- Mechanical Engineering