Towards the evaluation of the Arrowhead SoA in ITS

The evolution of autonomous driving is reshaping the automotive landscape into a highly cooperative and interconnected system, where vehicles and infrastructure exchange data to improve safety, efficiency, and responsiveness. In this context, service-based architectures are becoming essential to support the modular, scalable, and dynamic nature of automotive applications such as Cooperative Perception, demanding robust mechanisms for real-time communication, service discovery, interoperability, and secure data handling. This work aims at investigating the suitability of the Arrowhead Framework—a service-oriented architecture initially designed for industrial automation—as a middleware to enable and manage services in the context of cooperative autonomous driving. By integrating Arrowhead into a multi-dimensional co-simulation framework, encompassing the simulation of realistic vehicle models, control and communications, we evaluate its effectiveness in supporting service orchestration, system integration, and interoperability in different scenarios. In parallel, we aim to demonstrate how co- simulation environments can facilitate the rapid prototyping and deployment of distributed autonomous driving services.