Digital Twin-Based Modeling of Intelligent Traffic Infrastructure (V2X)
Overview
The successful deployment of Digital Twin technologies in intelligent transport systems requires a well-defined system architecture that captures the interactions between physical infrastructure, communication networks, and digital services. This project investigated how Digital Twin concepts can be applied to roadside infrastructure, with a particular focus on connectivity, data integration, and system synchronization.
The work included the analysis of representative traffic management and connected mobility scenarios, the evaluation of suitable communication technologies, and the development of system models using UML and Eclipse Ditto. Several practical use cases were explored, including Electronic Horizon extensions and LPWAN-supported services for areas with limited connectivity. The resulting architecture provided a structured framework for integrating roadside assets into a Digital Twin ecosystem and assessing the potential of connected infrastructure services.
Key Contributions:
- Analysis of Digital Twin architectures for intelligent transport systems and roadside infrastructure
- Evaluation of communication technologies, including LPWAN, LTE/5G, Wi-Fi, and other short-range wireless systems
- Identification of use cases for extending Electronic Horizon capabilities beyond traditional connectivity ranges
- Assessment of LPWAN technologies for connecting remote or infrastructure-limited locations
- UML-based modeling of communication, synchronization, and system integration architectures
- Investigation and evaluation of Eclipse Ditto as a framework for Digital Twin representation and interaction
- Development of structured concepts for linking physical traffic infrastructure with digital services and data-driven applications