Project

Intelligent Transportation System (ITS) with autonomic functions that are cyber-physical in nature is of rapidly increasing importance for traffic efficiency and safety. Current approaches to such functions often rely on worst-case assumptions, due to the difficulty and cost involved in managing the system boundaries and emergent behaviors in a highly dynamic configuration of system-of-systems. This can lead to the loss of many of the benefits in regard to traffic efficiency, but also to conditions where the transport system as a whole is prone to unacceptable high risks.