Mastering complexity – implementing digitalisation efficiently: Approaches to implementing digital control and safety technology
The digitalisation of control and signalling technolog is a key driver for the modernisation of the German rail network. This brings with it the challenge of systematically reducing existing complexity and enabling successful implementation through innovative approaches – such as standardisation, simplification and a cultural shift in collaboration. This technical article not only demonstrates how complexity can be deliberately managed, but also offers practical strategies for the sustainable and future-proof implementation of digital control and signalling technology (dLST).
The German rail network faces the challenge of replacing numerous outdated and disparate signalling and safety systems. The need for modernisation is clear, yet the digitalisation of these systems is progressing more slowly than hoped. At the same time, there is a desire for a faster, nationwide rollout of dLST.
The key task is to accelerate the rollout despite complex processes, interfaces and a wide range of regulations. Ongoing technological development and the parallel existence of established operational standards are leading to a continuous increase in system complexity. The dLST is an innovative system which, due to its numerous subsystems, stakeholders and dynamic interactions, must be classified as a complex system.
Analysis and proposed solutions: Approaches to managing complexity
In order to roll out the dLST successfully and at an appropriate pace, it is necessary to specifically reduce and systematically structure complexity. Standardisation, process simplification and a shift in collaboration are key levers for driving forward the modernisation and digitalisation of the railway infrastructure. This technical article presents an impact model developed as part of ongoing research at Dresden University of Technology.
The researchers focus on two areas of action: ‘Reducing complexity’ and ‘Modelling and structuring complexity’. In the first area, a differentiated analysis of the individual subsystems is carried out. In the second area, the researchers analyse a generic criteria and evaluation model, which is used in particular for projects with a high degree of innovation and regulatory approval. This model takes into account the interactions between system complexity, the probability of human error and the effects on various occupational groups within the field of dLST.
Conclusion and outlook: Successful management of complexity and further measures
The ongoing studies make it clear that the dLST is a challenging modernisation project, the challenges of which can only be overcome through rigorous analysis, standardisation, process simplification and a new spirit of collaboration within the sector. The ability to manage complexity and reduce it in a targeted manner is key to accelerating the dLST rollout and ensuring the future viability of the rail network.
You can read more about the studies and research findings in the latest technical article.
