Knowledge-Based Self-Organization of Traffic Control Systems

Abstract

Traffic control systems operating at the level of intersections can interact with each other. This interaction can be implicit (traffic flow) and explicit (exchange of sensor data). A central issue in this context is how to react to structural changes in a system of traffic control systems. This paper proposes to model all aspects which are relevant to the connection of these systems as ontologies. It further proposes to adapt to structural changes by taking inferences drawn from these ontologies into account. This work in progress is presented with the help of a concrete application example. A software prototype has been developed to demonstrate that this approach is technically feasible.