This project focuses on the development of a knowledge infrastructure, computational models, and user applications that allow access to real-time information about the state of transportation-related resources as well as predictions regarding their future state. A pilot service that exemplifies the usage potential of available data will be provided to citizens for making public transportation more efficient and pleasant to use and to policy-makers as a decision-support tool. The ITS lab is involved in developing a model-based data fusion engine (with simulation capabilities) that models a particular transportation network along with the behavior of travelers within it.