Relationship Model of Monotonous Road Environment and Driving Fatigue Based on Multi-source Data

doi:10.19721/j.cnki.1001-7372.2021.05.015

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	Relationship Model of Monotonous Road Environment and Driving Fatigue Based on Multi-source Data
	Yan, Ying 1; Yuan, Hua-Zhi 2; Yang, Xiang-Li 1; Liu, Ge 1; Guo, Zhong-Yin 3,4; Wang, Lei 5
刊名	Zhongguo Gonglu Xuebao/China Journal of Highway and Transport
	2021-05-01
卷号	34 期号:5 页码:156-167
关键词	Correlation methods Eye tracking Oxygen Vegetation Dependent variables Different time windows Generation mechanism Independent variables Pearson correlation Relationship model Theoretical foundations Vegetation coverage
ISSN号	10017372
DOI	10.19721/j.cnki.1001-7372.2021.05.015
英文摘要	To demonstrate the effect of a monotonous road environment on driving fatigue, real vehicle driving experiments were conducted in this study along the G109 Golmud-Tibet route using devices, such as an eye tracker and electroencephalograph. The multi-source data of 19 drivers including their physiological behaviors, driving behaviors, and subjective KSS scales were obtained. First, the change rules of each characteristic parameter under different fatigue degrees in different time windows were analyzed. Second, the different vegetation levels corresponding to different altitudes were defined as the quantified indices of the monotonous road environment, and the driving fatigue level was classified into three levels, namely, sobriety, mild fatigue, and severe fatigue. Third, according to the test results of Pearson correlation and independent variable collinearity, the (α+θ)/β, average blink duration, blood oxygen, and vegetation level were selected as independent variables. Meanwhile, the degree of driver fatigue was considered as the dependent variable. Finally, a model of the relationship between the driving fatigue and monotonous road environment based on the ordered multi-class logistics was established, and the driving fatigue generation mechanism in the monotonous environment was analyzed. The results indicate that in a high-altitude monotonous road environment, short-term driving fatigue is mainly related to the degree of monotonous environment, and the driving time is not the main factor causing short-term driving fatigue. α/β and heart rate demonstrate no significant correlation with driving fatigue. While (α+θ)/β and average blink time are positively correlated with driving fatigue, oxygen content is inversely related to the degree of fatigue. In addition, when the vegetation coverage rate changes from relatively sparse to sparse, the drivers' alertness is higher and the fatigue degree increases by 5.9%. As the vegetation coverage changes to the extremely sparse state, drivers overcome their own fatigue, and the degree of fatigue increases by 5.8%. Furthermore, as the environmental monotony intensifies, vegetation coverage changes to severe sparseness. Thus, the drivers' fatigue level increases significantly and enters the state of severe fatigue. The findings of this study can lay a theoretical foundation for the prevention of driving fatigue in a monotonous road environment. © 2021, Editorial Department of China Journal of Highway and Transport. All right reserved.
语种	中文
出版者	Chang'an University
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/151131]
专题	土木工程学院
作者单位	1.School of Transportation, Chang'an University, Xi'an; 710064, China; 2.School of Civil Engineering, Lanzhou University of Technology, Lanzhou; 730050, China; 3.School of Transportation Engineering, Tongji University, Shanghai; 201804, China; 4.Shandong Road Region Safety and Emergency Support Laboratory, Shandong Transportation Research Institute, Jinan; 250000, China; 5.School of Automobile, Chang'an University, Xi'an; 710064, China
推荐引用方式 GB/T 7714	Yan, Ying,Yuan, Hua-Zhi,Yang, Xiang-Li,et al. Relationship Model of Monotonous Road Environment and Driving Fatigue Based on Multi-source Data[J]. Zhongguo Gonglu Xuebao/China Journal of Highway and Transport,2021,34(5):156-167.
APA	Yan, Ying,Yuan, Hua-Zhi,Yang, Xiang-Li,Liu, Ge,Guo, Zhong-Yin,&Wang, Lei.(2021).Relationship Model of Monotonous Road Environment and Driving Fatigue Based on Multi-source Data.Zhongguo Gonglu Xuebao/China Journal of Highway and Transport,34(5),156-167.
MLA	Yan, Ying,et al."Relationship Model of Monotonous Road Environment and Driving Fatigue Based on Multi-source Data".Zhongguo Gonglu Xuebao/China Journal of Highway and Transport 34.5(2021):156-167.