This paper proposes a seamless framework to incorporate the day-to-day and within-day
dynamics of driver route choice decisions under real-time information provision by adapting …

This paper presents an agent-based approach to modelling individual driver behaviour
under the influence of real-time traffic information. The driver behaviour models developed …

A Bayesian updating model is developed to capture the mechanism by which travelers
update their travel time perceptions from one day to the next in light of information provided …

The en-route driver behavior problem under information provision is characterized by
subjective and linguistic variables, in addition to situational factors. Fuzzy modeling provides …

The problem addressed here involves a controller seeking to enhance traffic network
performance via real-time routing information provision to drivers while explicitly accounting …

The proliferation of information systems is enabling drivers to receive en route real-time
travel information, often from multiple sources, for making informed routing decisions. A …

The potential for using advanced technology to influence traffic movement and travel
behaviour has generated a massive interest throughout the developed world. In‐vehicle …

A novel positive model was developed for departure time choice under road pricing and
uncertainty at individual levels, and the consequent system-level dynamic properties were …

Foresee traffic conditions and demand is a major issue nowadays that is very often
approached using simulation tools. The aim of this work is to propose an innovative strategy …

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