クラスタリング手法による車両振動と乗り心地官能評価結果の相関抽出に関する研究

抄録

Suspension tuning is an activity to adjust the setting of springs and dampers of a vehicle adequately. This activity is usually determined subjectively based on the human sensation of a test driver, and it is difficult to understand which vehicle behaviors are judged as good. As a solution for this issue, we proposed a method to extract features of vibration signals measured by an accelerometer with considering the subjective evaluation results by a professional test driver. A technique of cluster analysis is used in our method, which is often used in machine learning and data mining.