Project Summary
With the diffusion of information and communication technologies into the transportation sector, more traffic information will be available to drivers. In an advanced traveler information system, interactions among road networks, drivers, and traffic information could impact safety, efficiency, environmental, and other characteristics of the overall transportation system. In this project, we propose a new modeling framework to systematically study how information provision would impact drivers' day-to-day route choice decisions. In this framework, individual drivers have heterogeneous decision intervals and how drivers respond to different information provision schemes. With simulations and theoretical investigations, we will study stability and efficiency of the overall transportation system under different demand levels, information provision schemes, and distribution of drivers' decision intervals. This project could lead to more insights on impacts of information provision on drivers' behaviors in transportation networks. Through this project, we will develop a set of theoretical, simulation, and experimental tools for studying drivers' route choice behaviors. The developed tools and gained insights could be helpful for understanding how such new technologies as inter-vehicle communications can help reduce congestion and emissions through proper route guidance.