[1]施 雯,谷梦路,黄晓梦.认知分心下车辆运行参数时域和频域特性分析[J].机械与电子,2022,(10):3-7.
　SHI Wen,GU Menglu,HUANG Xiaomeng.The Impact of Driving Cognitive Distraction on Vehicle Operational Parameters in the Time and Frequency Domains[J].Machinery & Electronics,2022,(10):3-7.
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认知分心下车辆运行参数时域和频域特性分析()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2022年10期
页码:
3-7
栏目:
设计与研究
出版日期:
2022-10-31

文章信息/Info

Title:
The Impact of Driving Cognitive Distraction on Vehicle Operational Parameters in the Time and Frequency Domains
文章编号:
1001-2257 ( 2022 ) 10-0003-05
作者:
施 雯 1 ; 谷梦路 2 ; 黄晓梦 2
1. 陕西青年职业学院,陕西 西安 710068 ; 2. 长安大学汽车学院,陕西 西安 710064
Author(s):
SHI Wen1 ;  GU Menglu2 ;  HUANG Xiaomeng2
( 1.Shaanxi Youth Vocational College , Xi ’ an 710068 , China ; 2.School of Automobile , Chang ’ an University , Xi ’ an 710064 , China )
关键词:
驾驶认知分心; 驾驶次任务; 车辆运行参数; 频域特征分析
Keywords:
driving cognitive distraction ;  driving subtasks ;  vehicle operational parameters ;  frequency domain
分类号:
U471
文献标志码:
A
摘要:
为了分析驾驶人认知分心状态下车辆运行参数的时域和频域特征,设计了认知分心驾驶次任务,进行了实车实验,在驾驶人进行驾驶主任务的同时为驾驶人施加驾驶次任务,采集正常驾驶状态和认知分心驾驶状态下驾驶人的操作参数和车辆运行参数,对正常驾驶状态和认知分心驾驶状态下驾驶人操作参数、车辆运行参数的时域和频域特性进行了研究。结果表明,认知分心驾驶状态下驾驶人操作参数和车辆运行参数的变化稳定性降低,突变情况增多,参数的高频成分增加,且分心程度较深时突变更加严重。该研究对认知分心驾驶状态的监测和预警、提高人机共驾模式下车辆的操控权重具有重要意义。
Abstract:
In order to investigate the time-domain and frequency domain characteristics of the vehicle operating parameters in driver ’ s cognitive distracted state , a field study is conducted in this paper , and cognitive distracted driving subtasks are designed.When the driver is performing the main driving task , asubtask is added and the driver has to complete the relative operations.Both time and frequency domain characteristics of driver operating parameters and vehicle operating parameters in normal driving and cognitive distracted driving states are investigated.The results show that the stability of the driver’s operating and vehicle operating parameters in the cognitive distracted state decreases , the number of abrupt changes increases When the high-frequency components of the parameters increase , the abrupt changes are more severe when the distraction is deeper.This paper has an important implicationfor monitoring and early warning of cognitive distracted driving states and improving the control of vehicles in human-machine co driving mode.

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备注/Memo

备注/Memo:
收稿日期: 2022-04-19
基金项目:国家自然科学基金资助项目( 51908054 )
作者简介:施 雯 ( 1983- ),女,宁夏固原人,硕士,讲师,研究方向为汽车保险技术;谷梦路 ( 1995- ),女,河北石家庄人,博士研究生,研究方向为类人化驾驶、驾驶行为;黄晓梦 ( 1991- ),女,河北石家庄人,硕士,研究方向为驾驶分心技术。
更新日期/Last Update: 2022-11-01