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 …

Abstract Advanced Traveler Information Systems (ATIS) have the potential to maximize the
operating efficiency of existing transportation infrastructure. Such systems rely on the …

We conduct a laboratory experiment to investigate the factors determining travel mode
choice. Two different scenarios are considered. In the first scenario, subjects have to decide …

A deeper understanding of how human activity-travel behavior is affected by various
weather conditions is essential for both policy makers and traffic managers. To unravel the …

Route choice behavior under real-time traffic information needs to be adequately modeled
for the proper analysis of a transportation system in the presence of Advanced Traveler …

Transportation systems are facing unprecedented challenges in the 21st century. Increasing
the efficiency of transportation systems alone will not solve these problems and may …

Transport users face complex decisions. Not only are the consequences of their choices
uncertain, but they generally involve several attributes, such as time and money. Time …

This paper presents a study of the effect of regret on route choice behavior when both
descriptional information and experiential feedback on choice outcomes are provided. The …

Perceived mean-excess travel time is a new risk-averse route choice criterion recently
proposed to simultaneously consider both stochastic perception error and travel time …

This paper presents a method to model a driver's en route learning process and changes in
route choice at each decision node. A model based on Bayesian networks is proposed to …