Introducing MOSA: Enhancing Traffic Event Analysis for Situational Awareness Services

This paper explores the evolving landscape of Intelligent Transportation Systems (ITS) and Connected and Automated Vehicles (CAVs) in the context of smart mobility. Within the framework of Cooperative, Connected, and Automated Mobility (CCAM), the study emphasizes the importance of transparency and trust. It introduces Explainable AI (XAI) to highlight the critical role of cooperative perception enabled by Vehicle-to-Everything (V2X) communication. The work navigates legislative challenges and the complex dynamics of human-machine interaction in CAV systems. In this context, data modeling is an important issue for improving traffic management strategies. Thus, a key contribution of this paper is the proposal of the Mobility Ontology for Situational Awareness (MOSA), supported by the construction of a Knowledge Graph (KG). This KG enhances the ontology’s capacity for semantic inferencing, event detection, and explainability.