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Automotive Engineering ›› 2024, Vol. 46 ›› Issue (9): 1617-1627.doi: 10.19562/j.chinasae.qcgc.2024.09.009

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A Survey on Ride Comfort Evaluation of Autonomous Vehicles

Guojuan Zhang1,Hongyu Hu1,Haomiao Li1,Mingjian Wang2,Fei Gao1(),Zhenhai Gao1   

  1. 1.Jilin University,National Key Laboratory of Automotive Chassis Integration and Bionics,Changchun 130022
    2.China FAW Corporation Limited,Changchun 130013
  • Received:2024-05-30 Revised:2024-08-05 Online:2024-09-25 Published:2024-09-19
  • Contact: Fei Gao E-mail:gaofei123284123@jlu.edu.cn

Abstract:

With the rapid development of automated driving technology, ride comfort has become a key factor affecting user acceptance and overall experience with automated vehicles. In this paper, a comprehensive review of the current state of research concerning the evaluation of riding comfort in automated vehicles is presented. Firstly, the concept of comfort is thoroughly articulated, followed by an analysis of key factors influencing ride comfort. Subsequently, the quantitative indicators and evaluation models pertinent to automated vehicles are classified and elaborated in detail. The quantitative indicators are classified into four categories: subjective indicators, indicators derived from vehicle parameters, indicators based on physiological signals, and indicators related to driver behaviour. The evaluation models encompass psychophysical models, biomechanical models, statistical models, and learning-based evaluation models. Finally, prospective trends in the research of comfort in automated vehicles is brought forward, thereby offering a technical framework for further studies on the system design and user experience in this domain.

Key words: automated vehicles, ride comfort, quantitative indicators, evaluation model, review