This paper studies the effects of pre-trip information on route-choice decisions when travel conditions are congested and stochastic. We adopt a model based on the classical two-route network in which free-flow travel times and/or capacities on each route vary unpredictably due to such shocks as...

This paper studies the effects of pre-trip information on route-choice decisions when travel conditions on two alternative congestible routes vary unpredictably. It presents and discusses an experiment designed to test a model recently proposed in a companion paper by Lindsey et al. (2013). That...

The modeling of individuals’ choice behavior in integrated multimodal transport networks requires the estimation of preference parameters related to the trade-off between uni-modal trips and multimodal combinations of private and public modes as well as relevant attributes of access, main and...

TravInfo was a federally funded Field Operational Test (FOT) of the Advanced Traveler Information System (ATIS) in the San Francisco Bay Area. The general public can obtain most current traveler information through TravInfo's Traveler Advisory Telephone System (TATS) and privately offered...

The paper describes current trends in the traveler information supply system and the prospect for potential markets for advanced traveler information in the United States and Europe. Alternative revenue models are identified that may be able to support the operation of the newly created traveler...