This question raises another question: “Is a track maintenance machine actually capable of thinking?” “Yes, it is.” Artificial Intelligence (AI) enables machines to learn from experience and adapt to new information and tasks. This requires machines to think autonomously. Artificial neural networks allow Plasser & Theurer machines to extract information and find generalised solutions.
Track ballast is the determining component of the permanent way supporting structure. The latest examination methods and insights will contribute to a better understanding of ballast behaviour and to an optimisation of the whole system. Samir Omerovic deals with one of these methods in his work. He is working in the research department of Plasser & Theurer and applies the Discrete Element Method to specific issues in track construction. A new examination approach that shows much promise.