An approach for predicting vibration discomfort via machine learning: integrating objective measurements of sound and vibration with passengers individual characteristics

Key Points

• The aim is to develop a machine learning approach to predict vibration discomfort in passengers by integrating various measurements.
• Utilized objective measurements of sound and vibration.
• Incorporated individual passenger characteristics.
• Applied machine learning algorithms for predictive modeling.
• Demonstrated a potential correlation between sound/vibration measurements and reported discomfort.
• Indicated that individual differences significantly influence discomfort levels.