Simulating vibration transmission and comfort in automated driving integrating models of seat, body, postural stabilization and motion perception

TL;DR

This paper introduces a real-time biomechanical model for simulating vibration transmission from seat to body in automated driving, aiming to improve motion comfort by predicting motion perception and sickness.

Contribution

It presents a comprehensive, computationally efficient full-body model integrating biomechanical and sensory perception models for automated driving environments.

Findings

Model accurately captures vibration transmission to trunk and head

Predicts motion perception and sickness accumulation

Operates in real-time for practical applications

Abstract

To enhance motion comfort in (automated) driving we present biomechanical models and demonstrate their ability to capture vibration transmission from seat to trunk and head. A computationally efficient full body model is presented, able to operate in real time while capturing translational and rotational motion of trunk and head with fore-aft, lateral and vertical seat motion. Sensory integration models are presented predicting motion perception and motion sickness accumulation using the head motion as predicted by biomechanical models.