Feltus C., Ferrero F., Nicolas D., Viti F., Castignani G., Connors R., Khadraoui D., Nakao H.
Data Science for Transportation, vol. 8, n° 1, art. no. 4, 2026
Cooperative and Connected Automated Mobility (CCAM) is an emerging paradigm aimed at enhancing Urban Mobility (UM) through improved road maneuverability, reduced environmental impact, and better traffic flow. Despite its promise, CCAM is not yet fully integrated with the broader UM context. In parallel, Digital Twin (DT) technology has gained traction across sectors, including mobility, offering potential to bridge the gap between CCAM and UM. This paper first defines CCAM and UM as distinct domains, setting boundaries between them. It then proposes a detailed analysis and introduces an integrated conceptual model that combines both domains via a unified DT architecture. This model overlays the Urban Mobility DT stack—comprising services, models, and datasets—onto the CCAM-DT stack to highlight areas of synergy. Based on this model, the paper outlines a streamlined development process for DT architecture and defines the necessary technology components for implementation. Whether extending one DT stack into the other or merging both, the approach fosters interoperability and knowledge transfer. The study concludes by demonstrating how DT technology can be tailored to specific mobility domains to increase operational efficiency and lower costs. A proof-of-concept validates the model’s practical application, showing real-world potential for integrated, intelligent mobility systems.
