The paper presents the results of a research activity studying the possibility to evaluate the cross wind velocity acting on a running train though surface pressure measurements. The research exploits the know-how developed in the aerospace field on FADS (Flush Air Data sensing Systems) and performs a complete design of the system. In particular, the choice of the number and the position of pressure taps on the surface of the train leading car is optimized, in terms of measurement system sensitivity and robustness, using a neural network approach and wind tunnel test results. A calibration of the system is performed and validated using wind tunnel tests on a moving train model.
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