基于车辆运动参数的乘员晕动症评价模型  

Evaluation Model of Passenger Motion Sickness Based on Vehicle Motion Parameters

作　　者：赵树恩[1] 田卓帅 隗寒冰[1] 肖湘[2] 王戡 曾杰 ZHAO Shu-en;TIAN Zhuo-shuai;WEI Han-bing;XIAO Xiang;WANG Kan;ZENG Jie(School of Mechatronics and Vehicle Engineering,Chongqing Jiaotong University,Chongqing 400074,China;Chongqing Medical and Pharmaceutical College,Chongqing 401331,China;China Merchants Testing Vehicle Technology Research Institute Co.Ltd.,Chongqing 401329,China)

机构地区：[1]重庆交通大学机电与车辆工程学院,重庆400074 [2]重庆医药高等专科学校临床医学院,重庆401331 [3]招商局检测车辆技术研究院有限公司,重庆401329

出　　处：《中国公路学报》2025年第2期274-285,共12页China Journal of Highway and Transport

基　　金：国家自然科学基金项目(52072054);重庆市自然科学基金创新发展联合基金项目(CSTB2024NSCQ-LZX0105);重庆市教育委员会科学技术研究项目(KJQN202202824);重庆市研究生联合培养基地项目(JDLHPYJD2020033);重庆交通大学自然科学类揭榜挂帅项目(XJ2023);重庆市研究生科研创新项目(CYS240490)。

摘　　要：针对智能电动车辆晕动舒适性传统测试评价中被测乘员主观感受及客观生理信息的个体差异性导致的测试评价成本高、准确性差等问题,提出基于车辆运动参数的乘员晕动症评价模型。首先,基于乘员晕动症发生机理,通过实车测试,采集乘员晕动症主观感受及其对应的皮电、呼吸频率、瞳孔直径等生理信息,并同步采集车辆纵向、横向、垂向加速度等车辆运动参数;其次,结合乘员晕动舒适性主观感受,利用克鲁卡尔-沃里斯(Kruskal-wallis, K-W)非参数检验和偏等效应平方法,研究乘员不同晕车程度时,对应客观生理信息的显著差异和关联程度,进而建立基于皮电和瞳孔直径变化等多客观生理信息的晕动症评价模型。此外,运用皮尔逊(Pearson)相关分析法构建乘员主观晕车感受、客观生理信息以及车辆运动参数相关性矩阵,研究真实开放道路上横向、纵向和垂向加速度及其变化率等车辆运动参数与乘员晕动症之间的相关性和敏感性,并基于岭回归法,确定不同车辆运动参数及累积时间对晕动舒适性的影响权重,构建基于车辆运动参数的乘员晕动症评价模型;最后,通过试验测试,对基于多客观生理信息的晕动症评价模型和基于车辆运动参数的乘员晕动症评价模型进行了试验验证。结果表明:基于车辆运动参数的乘员晕动症评价模型的晕动程度预测的总体预测准确率为88.7%。所提出的基于车辆运动参数的乘员晕动症评价模型,可有效避免传统测试评价中被测乘员的个体生理差异,实现智能电动汽车晕动舒适性能测试评价,为未来智能电动汽车决策规划算法及控制执行策略的设计优化提供理论依据与实践基础。To address the issues of high testing costs and poor accuracy caused by individual differences in subjective perceptions and objective physiological information of passengers in traditional motion sickness comfort evaluations for intelligent electric vehicles,a motion sickness evaluation model based on vehicle motion parameters is proposed.First,based on the mechanism of motion sickness,real-vehicle tests were conducted to collect passengers'subjective perceptions of motion sickness along with corresponding physiological data,such as galvanic skin response(GSR),respiratory rate,and pupil diameter.Simultaneously,vehicle motion parameters,including longitudinal,lateral,and vertical accelerations,were collected.Second,passengers'subjective assessments of motion sickness comfort combined with objective physiological data to analyze significant differences and degrees of association using the Kruskal-Wallis(K-W)non-parametric test and partial effect equivalence methods.A motion sickness evaluation model was established based on multiple objective physiological signals such as GSR and pupil diameter variations.Furthermore,Pearson correlation analysis method was employed to construct a correlation matrix linking subjective motion sickness perceptions,objective physiological signals,and vehicle motion parameters.The relationships and sensitivities of vehicle motion parameters,including longitudinal,lateral,and vertical accelerations,and their rates of change with passenger motion sickness on real-world open roads were explored.Using a ridge regression analysis,weights for the impacts of different vehicle motion parameters and cumulative time on motion sickness comfort were determined,facilitating the development of a motion sickness evaluation model based on vehicle motion parameters.Finally,experimental validation was conducted to compare the motion sickness evaluation model developed based on multiple physiological signals with that based on vehicle motion parameters.The results showed that the overall prediction accur

关 键 词：汽车工程 乘员晕动症 测试评价模型 晕动症剂量值 车辆运动参数 

分 类 号：U461.4[机械工程—车辆工程]