自动驾驶车辆乘坐舒适性评价研究综述  

A Survey on Ride Comfort Evaluation of Autonomous Vehicles

作　　者：张国娟[1] 胡宏宇[1] 李浩淼 王明剑 高菲[1] 高镇海[1] Zhang Guojuan;Hu Hongyu;Li Haomiao;Wang Mingjian;Gao Fei;Gao Zhenhai(Jilin University,National Key Laboratory of Automotive Chassis Integration and Bionics,Changchun 130022;China FAW Corporation Limited,Changchun 130013)

机构地区：[1]吉林大学,汽车底盘集成与仿生全国重点实验室,长春130022 [2]中国第一汽车股份有限公司,长春130013

出　　处：《汽车工程》2024年第9期1617-1627,共11页Automotive Engineering

基　　金：国家自然科学基金(52272417);吉林省重大科技专项(20220301009GX)资助。

摘　　要：随着自动驾驶技术的快速发展,乘坐舒适性已成为影响自动驾驶车辆用户接受度和体验感的关键因素。本文针对自动驾驶车辆乘坐舒适性评价的研究现状进行系统性综述。首先,阐述了舒适性的含义,并分析了影响乘坐舒适性的主要因素。其次,对自动驾驶车辆的量化指标和评价模型进行了分类与详细阐述。其中,量化指标分为主观量化指标、基于车辆参数的量化指标、基于生理信号的量化指标以及基于驾驶员行为的量化指标;评价模型包括心理物理学模型、生物力学模型、统计学模型以及基于学习的评价模型。最后,提出了自动驾驶车辆舒适性研究的未来发展趋势,为进一步研究自动驾驶车系统设计与用户体验提升提供了技术参考。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.

关 键 词：自动驾驶汽车 乘坐舒适性 量化指标 评价模型 综述 

分 类 号：U463.6[机械工程—车辆工程]