Evaluation method for driver comfort under multi axis coherent vibration of seats.

Journal: Ergonomics
Published Date: Sep 3, 2025

Abstract

Ergonomics increasingly emphasises that seat design should align with the driver's physiological needs to enhance comfort and health. This study uses deep learning to evaluate the impact of seat multi-axis coherent vibration on driver comfort. Through road tests, the multi-axis vibration signals were collected from the seat backrest, cushion and floor, simultaneously collecting subjective evaluation data. The consistency between subjective and objective data was verified using Stevens' power law, with the R2 exceeding 70%, indicating subjective evaluations can reflect driver comfort. Furthermore, a deep learning model integrating multimodal coherent features was used for quantitative evaluation. The results show that the method accurately captures frequency characteristics affecting comfort, with the metrics R2, RMSE and MAE being 0.931, 0.096 and 0.071, respectively. This is comparable to the evaluations of ergonomics experts. The proposed method provides a promising solution for driver comfort evaluation. It is significant for enhancing driver health, comfort and safety.

Authors

  • Xiong Bai
    School of Mechanical Engineering, North University of China, Taiyuan, China.
  • Jinying Huang
    School of Mechanical Engineering, North University of China, Taiyuan, China.
  • Liyu Yang
    China North Vehicle Research Institute, Beijing, China.
  • Yuxuan Wang
    Department of Maxillofacial and Otorhinolaryngology Oncology, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
  • Gaoshou Deng
    China North Vehicle Research Institute, Beijing, China.
  • Zhenfang Fan
    School of Mechanical Engineering, North University of China, Taiyuan, China.
  • Fan Yang
    School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou, China.

Keywords

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