ITS forecast: GIS integration with active sensory system

In the context of intelligent transport systems (ITS) the monitoring and forecast of transportation systems is a common and recurrent necessity. As long as transport networks increment constantly their size and complexity there are new requirement for traffic prediction, routing calculation and congestion/accident avoidance. We propose in this paper an approach to integrate a geographic information system (GIS) with an active sensory system in order to provide timely and accurate ITS forecast. Our approach contemplates the inclusion of a constant feed of real-traces into our traffic model analysis for a close simulation of real-world comportment. In order to manage the complexities of the topological layout we utilize a GIS; a well known and specialized tool for geographic information database. This approach is based on the definition of a global framework to deal with the capture, collection, diffusion and utilization of traffic information.