Project Summary
The effective management of traffic incidents and other irregular disruptions on roadways is key to minimizing travel delay and improving the quality of life for urban residents and businesses. This project is currently using economic experiments involving human subjects and a networked, realistic driving simulation to study driver behavior in response to information displayed by variable message systems and to dynamic road pricing schemes. Based on existing results, the project will propose four new extensions to this study: the addition of more realistic driving mechanics to test driver responses to the projects treatments under increased cognitive load, the recruitment of subjects outside the University of California, Irvine (UCI) student body to confirm the validity of the results with different demographic groups, the implementation of treatments to study the impact of private information messaging systems (e.g. Waze, Google Maps, etc.), and the implementation of treatments to study a novel value-of-time based auction system for toll lane pricing and allocation. Improvements to the driving realism and the representativeness of the projects experimental subject pool will strengthen the robustness and validity of this study’s results, while the investigation of private information messaging and value-of-time auction scenarios will shed light on their potential for improving transportation management.
