A computer-implemented method, comprising: collecting, via one or more sensors associated with a vehicle and/or at least one tire of a plurality of tires supporting the vehicle, first data corresponding to real-time kinetics of the vehicle and/or the at least one tire associated with the vehicle; locally processing the first data (136, 138; 310; 910) to generate second data as a reduced subset of the first data (136, 138; 310; 910), said second data (320, 330; 930) representative of the first data (136, 138; 310; 910) and comprising any one or more predetermined features extracted therefrom; processing the second data (320, 330; 930) to estimate a current tire wear characteristic in real-time for the at least one tire; and selectively providing real-time feedback based on the estimated current tire wear characteristic, wherein the first data (136, 138; 310; 910) is processed via a computing system onboard the vehicle, the method further comprising: selectively transmitting the second data (320, 330; 930) to a remote computing system via a communications network; and via the remote computing system , processing the second data (320, 330; 930) to estimate the wear characteristic for the at least one tire characterized in that the second data (320, 330; 930) comprises a plurality of sequential data frames , each data frame comprising a multidimensional histogram of forces (F x , F y , F z ) associated with the vehicle and/or the at least one tire. collecting, via one or more sensors associated with a vehicle and/or at least one tire of a plurality of tires supporting the vehicle, first data corresponding to real-time kinetics of the vehicle and/or the at least one tire associated with the vehicle; locally processing the first data (136, 138; 310; 910) to generate second data as a reduced subset of the first data (136, 138; 310; 910), said second data (320, 330; 930) representative of the first data (136, 138; 310; 910) and comprising any one or more predetermined features extracted therefrom; processing the second data (320, 330; 930) to estimate a current tire wear characteristic in real-time for the at least one tire; and selectively providing real-time feedback based on the estimated current tire wear characteristic, wherein the first data (136, 138; 310; 910) is processed via a computing system onboard the vehicle, the method further comprising: selectively transmitting the second data (320, 330; 930) to a remote computing system via a communications network; and via the remote computing system , processing the second data (320, 330; 930) to estimate the wear characteristic for the at least one tire characterized in that the second data (320, 330; 930) comprises a plurality of sequential data frames , each data frame comprising a multidimensional histogram of forces (F x , F y , F z ) associated with the vehicle and/or the at least one tire. selectively transmitting the second data (320, 330; 930) to a remote computing system via a communications network; and via the remote computing system , processing the second data (320, 330; 930) to estimate the wear characteristic for the at least one tire characterized in that the second data (320, 330; 930) comprises a plurality of sequential data frames , each data frame comprising a multidimensional histogram of forces (F x , F y , F z ) associated with the vehicle and/or the at least one tire. <EOS>