Applications of a transportation information architecture

Basic research in information management, software architecture, human factors, traffic prediction and transportation planning is necessary to manage the integration of millions of disparate computers and sensors, in a high mobility environment, into a collaborative system. This system then enable solutions to a set of transportation problems ranging from autonomous real-time routing and navigation, to autonomous driving, to inferring driving patterns via data mining. In this paper, this information architecture is discussed together with several innovative applications.