Inverse Estimation of Friction Coefficient of Winter Road Surface with Vehicular Motion Data Measured by GPS-Equipped Probe Vehicles

摘要

This study is concerned with a snow and ice control system based on a friction coefficient. A method was developed to estimate the friction coefficient on winter road surfaces indirectly from vehicular motion data. The interaction between tire and road surface was taken into account and integrated into a genetic algorithm. The friction coefficients estimated by the method were better fitted to the actual measured values, compared with those estimated by conventional physical formulas. More conveniently, the friction coefficients estimated were not sensitive to the parameters of the tire model mat are difficult to measure in a real field.