Model of Driver’s Eye Movement and ECG Index under Tunnel Environment Based on Spatiotemporal Data
Joint Authors
Shen, Bin
Wang, Linhong
Qi, Weiwei
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-17
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In order to improve the driver’s physiological and psychological state, the driver’s mental load which is caused by sight distance, lighting, and other factors in the tunnel environment should be quantified via modeling the spatiotemporal data.
The experimental schemes have been scientifically designed based on methods of traffic engineering and human factor engineering, which aims to test the driver’s spatiotemporal data of eye movement and ECG (electrocardiogram) index in the tunnel environment.
Firstly, the changes in the driver’s spatiotemporal data are analyzed to judge the changing trend of the driver’s workload in the tunnel environment.
The results show that the cubic spline interpolation function model can fit the dynamic changes of average pupil diameter and heart rate (HR) growth rate well, and the goodness of fit for the model group is above 0.95.
So, tunnel environment makes the driver’s typical physiological indicators fluctuate in the coordinates of time and space, which can be modeled and quantified.
Secondly, in order to analyze the classification of tunnel risk level, a fusion model has been built based on the functions of average pupil diameter and HR growth rate.
The tunnel environmental risk level has been divided into four levels via the fusion model, which can provide a guidance for the classification of tunnel risk level.
Furthermore, the fusion model allows tunnel design and construction personnel to adopt different safety design measures for different risk levels, and this method can effectively improve the economy of tunnel operating safety design.
American Psychological Association (APA)
Qi, Weiwei& Shen, Bin& Wang, Linhong. 2020. Model of Driver’s Eye Movement and ECG Index under Tunnel Environment Based on Spatiotemporal Data. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1175708
Modern Language Association (MLA)
Qi, Weiwei…[et al.]. Model of Driver’s Eye Movement and ECG Index under Tunnel Environment Based on Spatiotemporal Data. Journal of Advanced Transportation No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1175708
American Medical Association (AMA)
Qi, Weiwei& Shen, Bin& Wang, Linhong. Model of Driver’s Eye Movement and ECG Index under Tunnel Environment Based on Spatiotemporal Data. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1175708
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175708