I will describe a project that establishes a graduate training program in the Information Technology aspects of Transportation Science. Computational transportation scientists will develop the next generation of intelligent transportation systems, aimed at addressing inefficiencies that cause excessive environmental pollution, fuel consumption, risk to public safety, and congestion. The trainees will investigate technologies in which sensors, traveler-devices such as PDA?s, in-vehicle computers, and computers in the static infrastructure are integrated into a collaborative environment. Trainees will also investigate both how these technologies are adopted and their impacts. The envisioned transportation environment will incorporate the technologies, enabling solutions to problems such as dynamic ridesharing, real-time routing, and navigation. Basic research in information management, communications, software architectures, modeling tools, human factors, traffic prediction, and transportation planning will be utilized to found a new discipline that will integrate millions of highly mobile computers and sensors into a collaborative system. The trainees will build a prototype test-bed application that will integrate the results of their research. This prototype is a software system that runs on hand-held computers, and plans optimal trajectories for a traveler using multiple modes of transportation (e.g., bus and then train).