Application of neural network in prediction of frequency response of drivers during driving

Abstract

Vehicle comfort in oscillatory conditions is a multifaceted phenomenon affected by various factors including road conditions, driving speed, and driving mode, among others. Vibrations experienced during driving, irrespective of their intensity or waveform, significantly impact driving comfort. The Seat-to-Head Frequency Response Function (STHT) represents a complex connection between head movements and vibrations transmitted through the seat and headrest interface. In this study, an artificial neural network model was created to replicate the STHT function based on experimental data collected from twenty healthy male participants.