Method for detecting road and tire conditions

A method for determining a running parameter of a vehicle traveling on a road, comprising the steps of:

• recording a measurement of a sound signal produced by a tire of the vehicle traveling on a surface of the road during a given time interval;
• determining a spectral power density of the sound signal over a given frequency interval;
• segmenting the frequency interval into a plurality of frequency bands of previously determined widths and associating with each frequency band a data item representing a mean sound power measured in each frequency band, the representative data being from a measurement forming variables of a vector associated with the measurement;
• determining a condition of the road and of the tire corresponding to the vector, using a method of identifying data based on a learning basis formed by a set of vectors associated with measurements previously recorded and performed, in accordance with the same steps as above, under known running conditions as a function of the modalities, each representing a running condition,
• wherein the method of identifying data comprises the following steps:
• determining a reduced discriminant space in which zones formed by each modality or combination of modalities are identified, based on the learning basis, and
• reducing the discriminant space to the zones corresponding to measured and/or estimated running conditions, based on measurements and estimations of running conditions performed in real time.