交通运输系统工程与信息 ›› 2023, Vol. 23 ›› Issue (6): 284-295.DOI: 10.16097/j.cnki.1009-6744.2023.06.028

• 工程应用与案例分析 • 上一篇    下一篇

不同情境下乘员对车辆运动参数的晕车敏感性研究

马利a,付锐a, b,孙秦豫a,郭应时*a, b,王畅a, b,袁伟a, b   

  1. 长安大学,a. 汽车学院;b. 汽车运输安全保障技术交通行业重点实验室,西安 710064
  • 收稿日期:2023-07-13 修回日期:2023-08-15 接受日期:2023-08-28 出版日期:2023-12-25 发布日期:2023-12-23
  • 作者简介:马利(1995- ),男,山东菏泽人,博士生。
  • 基金资助:
    国家自然科学基金 (52272412, 52102451);中国博士后科学基金(2021M700531)。

Susceptibility of Passenger Motion Sickness Based on Vehicle Motion Parameters Under Multiple Scenarios

MA Lia,FU Ruia, b,SUN Qin-yua,GUO Ying-shi*a, b,WANG Changa, b,YUAN Weia, b   

  1. a. School of Automobile; b. Key Laboratory of Automobile Transportation Safety Technology Ministry of Transport, Chang'an University, Xi'an 710064, China
  • Received:2023-07-13 Revised:2023-08-15 Accepted:2023-08-28 Online:2023-12-25 Published:2023-12-23
  • Supported by:
    National Natural Science Foundation of China (52272412, 52102451); China Postdoctoral Science Foundation (2021M700531)。

摘要: 晕车是一种常见的由车辆运动引起的病症,严重影响乘车体验。由于现有车辆控制方法很难做到完全避免晕车,且晕车等级随暴露时间而增加,并受不同情景的影响,故乘员晕车状态变化对应的车辆运动参数阈值(晕车阈值)需要进一步研究。本文聚焦于探究不同情景下晕车阈值的变化规律,即晕车敏感性。首先,设计4类情境下(不同晕车易感性和有无非驾驶任务)的实车乘坐;其次,分析4类情境下晕车等级的变化规律;然后,分别以4种运动工况下的加速度和加加速度作为分析对象,利用单因素方差和统计方法,将相同情景和不同晕车等级下的晕车阈值变化规律(横向敏感性)进行横向对比,将不同情景和相同晕车等级下的晕车阈值变化规律进行纵向对比(纵向敏感性)。结果表明,晕车等级随暴露时间而增加,并且4类情境下的晕车等级存在差异,高晕车易感性被试具有横向敏感性,低晕车易感性被试不具有横向晕车易感性;纵向敏感性一般只在中度晕车等级下成立。研究结论丰富了晕车等级与晕车阈值的关系,可为传统驾驶和自动驾驶减少晕车的控制策略提供参考依据。

关键词: 城市交通, 晕车敏感性, 统计分析, 车辆运动参数, 人因

Abstract: Motion sickness is a common symptom caused by vehicle movement, which significantly affects vehicle passengers' riding experiences. It is difficult to completely avoid motion sickness under existing vehicle control methods, and the level of motion sickness increases with the duration of the riding time in various conditions, it is therefore necessary to study the vehicle motion parameter threshold corresponding to the motion sickness status of vehicle passengers. This paper investigates the changes of motion sickness threshold under different scenarios and the sensitivity of motion sickness related vehicle motion parameters based on different motion sickness ratings (SoMSMP). First, a vehicle ride experiment is designed for four types of scenarios (different susceptibility to motion sickness and with or without non-drive related tasks), and the variation rule of motion sickness ratings is analyzed for the four scenarios. The acceleration and jerk under the four motion conditions are taken as the analysis object. The single factor variance and statistical method are used to make a lateral comparison of the motion sickness threshold change rule (lateral SoMS-MP) under the same scenario and different motion sickness levels, and a longitudinal comparison (longitudinal SoMS-MP) of the motion sickness threshold change rule under different scenarios with the same motion sickness rating. The results show that the motion sickness ratings increased with exposure time, and the differences exist in the motion sickness ratings in the four scenarios. The high motion sickness susceptibility participants have lateral SoMS-MP, while the low susceptibility participants have no lateral susceptibility, and longitudinal SoMS-MP can only be identified at moderate degree of motion sickness. The study results provide references for the motion sickness ratings and motion sickness threshold analysis, which can be used for the human driving or automatic driving control strategies to reduce motion sickness.

Key words: urban traffic, sensitivity to motion sickness, statistical analysis, vehicle motion parameters, human factors

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