Developing and simulating timetables
The timetable serves both as a promise to customers and as the foundation for operations. Only when travel times, connections and operational processes are reliably planned can the service be delivered consistently under real-world conditions – and the promise to customers be fulfilled.
Example: managing crossing conflicts
We focus on “meets instead of crossings” in order to avoid crossing conflicts.
Example: accelerated freight services Basel – Chiasso
Example: simulation
We go beyond planning alone: we analyse how individual infrastructure elements work – from switches and platforms to bottlenecks – while also taking into account the specific characteristics of the rolling stock in use. On this detailed basis we develop optimal timetables for the entire network, aligned with operational realities and customer expectations.
But planning alone is not enough. To assess the stability of our timetables objectively, we rely on stochastic simulations. These allow us to model irregularities, disruptions or delays realistically and to understand their impact on the overall system.
This data-driven, simulation-based approach enables us to plan robust timetables, identify potential weaknesses early and resolve them before they cause problems in daily operations. The result: a resilient timetable that works not only on paper, but in practice.
Stable. Realistic. Resilient.
