The FINE 1 project aims to reduce operational costs of railways by a reduction of energy use and noise related to rail traffic. The project results are expected to enable an increase of traffic in Europe and to enhance the attractiveness of railway in relation to other modes of transport.
The project activities will support the innovation process within the S2R Technical Demonstrators (TDs) by providing methodology and know-how to enable development of low noise and low energy TDs. The project is fully in line with the EU objectives with eight technical work packages (WPs) addressing technologies to support these objectives. The reduction of energy use for rail vehicles is as addressed in WP 3 and WP4 and will indirectly lead to reduced green-house gas emissions, also with most rail transport powered with electricity. Further, reducing energy use will lower the life cycle cost and the costs of vehicle operation. The project also aims at development of practical methods for predicting noise and vibration performance on system level including both rolling stock, infrastructure and its environment. Prediction of interior vehicle noise is addressed in WP 7 and source modelling for interior and exterior noise in WP 8. With an accurate characterization of each contributing source, it will be possible to optimize cost benefit scenarios, as addressed in WP 6, as well as take exposure and comfort into account. Finally, the auralisation and visualisation techniques of traffic noise scenarios and the noise control techniques developed in WP 9, support the reduction of noise exposure for residents by efficient traffic planning and novel mitigation techniques.
In summary, the expected FINE 1 advances of the state-of-the-art in noise modelling and control as well as in energy management and control methodology, will improve the competitiveness of the European railway system compared to other modes of transportation and thus promoting a modal shift to rail.
Call for proposal
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Funding SchemeShift2Rail-RIA - Research and Innovation action