This paper presents a learning-based model of route-choice behavior when information is
provided in real time. In a laboratory controlled experiment, participants made a long series …

Advanced travel information systems (ATIS) are designed to provide real time information
enabling drivers to choose efficiently among routes and save travel time. Psychological …

This research examines route choice, in the presence of real-time information, as a
consequence of two underlying behavioral mechanisms: compliance and inertia. The …

A conceptual modeling framework is proposed, and mathematical submodels for route
choice on motorways and urban networks are derived. The models convey the most relevant …

A major aspect of transportation planning is understanding behavior: how to predict it and
how to influence it over the long term. Behavioral models in transportation are predominantly …

Existing common route choice models are based on random utility theory, which follows the
maximum utility assumption. Recent intelligent transportation system applications have …

This paper discusses the effect of the feedback mechanism on route-choice decision-making
under uncertainty. Recent ITS (intelligent transportation systems) applications have …

This paper describes a study to investigate the effects of route guidance and traffic
advisories on driver's route choice behavior. The study is a two-factor experiment with …

Advanced Travel Information Systems (ATISs) are designed to assist travellers in making
better travel choices by providing pre-trip and en-route information such as travel times on …

Advanced traveler information systems (ATISs) offer benefits to travelers and may improve
transportation system performance in congested areas. An understanding of how …