Abstract: In a method for determining conditions of a road and a tire, a measurement of a sound signal produced by the tire running on the road during a timeframe is recorded, and a spectral density of a power of the sound signal over a frequency interval is determined. The frequency interval is segmented into frequency bands, and each frequency band is associated with a representative data element representing a mean acoustic power measured in the frequency band. The representative data elements obtained from the measurement form variables of a vector associated with the measurement. A road condition and a tire condition are determined via a discriminant analysis of the representative data elements using a learning base. Each representative data element is obtained by finding a ratio between a mean acoustic power measured in a corresponding frequency band and a total acoustic power measured over an entirety of the frequency interval.

Abstract: In a method for determining conditions of a road and a tire, a measurement of a sound signal produced by the tire running on the road during a timeframe is recorded, and a spectral density of a power of the sound signal over a frequency interval is determined. The frequency interval is segmented into frequency bands, and each frequency band is associated with a representative data element representing a mean acoustic power measured in the frequency band. The representative data elements obtained from the measurement form variables of a vector associated with the measurement. A road condition and a tire condition are determined via a discriminant analysis of the representative data elements using a learning base. Each representative data element is obtained by finding a ratio between a mean acoustic power measured in a corresponding frequency band and a total acoustic power measured over an entirety of the frequency interval.