System and method for feature extraction from real-time vehicle kinetics data for remote tire wear modeling

A method for estimating vehicle tire wear, the method comprising:

• accumulating in data storage information regarding probability distributions corresponding to each of a respective plurality of tire wear factors;
• via one or more sensors associated with a vehicle and/or at least one tire of a plurality of tires supporting the vehicle, generating first data corresponding to real-time kinetics of the vehicle and/or the at least one tire;
• via a computing system onboard the vehicle, processing the first data to generate second data as a reduced subset of the first data, said second data representative of the first data and comprising any one or more predetermined features extracted therefrom;
• transmitting the second data to a remote computing system via a communications network;
• via the remote computing system, generating at least one observation corresponding to one or more of the plurality of factors based on the transmitted second data;
• estimating, at the remote computing system, a current tire wear status in real-time at a given time for the at least one tire associated with the vehicle, based at least on the at least one generated observation and the stored information regarding probability distributions;
• providing real-time feedback to the vehicle based on the estimated current tire wear status to a computing device associated with a vehicle user.