What is possible when rail head lubrication is intelligently controlled?

The results from our research are clear. The following effects were measured on a PoC track in urban operation:
- −98.5% curve squealing
- up to −60% lubrication agent consumption
- Simulations indicate a potential reduction of wheel tread wear of up to 12 %
A key learning for operators: it is not high-end hardware that is crucial, but a robust database, a sensibly defined squeal index, developed together with Substring, and an understanding of wheel-rail contact throughout the entire operation.
Intelligent lubrication reduces conflicting objectives: less noise with lower resource consumption and less wear with more stable life cycle costs. This makes intelligent rail head lubrication a building block for sustainable mobility and consistent lifecycle optimisation in urban rail transport.
These findings form the basis for exchange, further exploration and the next step towards practical application.
For those who want to get more information (only in German):
- Final report with methodology, measurements and validation: https://www.aramis.admin.ch/Default?DocumentID=73689&Load=true
- Project results presentation with key figures, system logic and learnings for operators: aramis.admin.ch/Default?DocumentID=73691&Load=true


