This working paper is a preliminary review of the state of the art in the study of the economics of traffic information. The focus is on the different methods used to model the decision process of drivers in a traffic system, and on the effect of traffic information on this process. In addition,...

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...

TravInfo is a Field Operational Test (FOT) sponsored by the Federal Highway Administration (FHWA) and California Department of Transportation. It aimed to develop a multi-modal traveler information system for the San Francisco Bay Area, combining public and private sector talents. The Broad Area...

This paper examines the economics of traveler information from probe vehicles to understand how many probes are needed to provide useful information, and how that probe information might be supplied to travelers. Probes differ from permanently installed roadway detection devices both because...

Over the next few years, driver behavior should become more informed with the advent and deployment of in-vehicle navigation systems. This paper analyzes systems that provide the driver the fastest path between his or her current location and final destination, updated in real-time to consider...

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...