A Train Dispatcher in the Cloud Generated from RDF Models

In the context of fast systems and software development, combining model-based systems engineering with automated code generation is essential for managing complexity while enhancing efficiency and adaptability. This paper presents a model-based approach, where a composite RDF model is created, which serves as a flexible basis for the subsequent generation of various artifacts. The artifacts include not only source code but also technical configuration files (e.g. Dockerfiles, Kubernetes objects), CI/CD pipeline configurations, and documentation. The approach has been successfully applied to the Train Dispatcher in the Cloud (ZLiC), a cloud-based approach to digitalize the German Zugleitbetrieb. An iterative development process enabled continuous system expansion and adaptation to specific project requirements. The generated prototype has been validated through simulations and field tests, confirming the robustness and practical applicability of the approach.