Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)

An Algorithm to Determine Driver’s Fatigue Driving According to Characteristic Parameters Based on the Theory of Rough Set Importance

Authors
Hongxu Chen, Yifeng Xue, Chen Xu, Xiaofan Wang, Longtao Pei, Yanhui Han
Corresponding Author
Hongxu Chen
Available Online May 2018.
DOI
https://doi.org/10.2991/amcce-18.2018.58How to use a DOI?
Keywords
Fatigue Driving, Parameters, Rough Set Importance, Traffic Accidents
Abstract
The driver's fatigue driving accounts for lots of traffic accidents. Through the study of the driver's behavior characteristics,we collect the steering wheel angle, angular velocity in real time, grip force and pluse through indoor simulation experiments.After calculation, we can get these parameters of the data of zero-speed percentage, average absolute value of rotation angle, standard deviation of rotation angle, angle entropy,driver’s grip force and driver’s pulse.Based on the theroy of rough set importance,we calculate the weight of each signal and obtain the correlation between driving behavior signals and fatigue driving.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
Part of series
Advances in Engineering Research
Publication Date
May 2018
ISBN
978-94-6252-508-5
ISSN
2352-5401
DOI
https://doi.org/10.2991/amcce-18.2018.58How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hongxu Chen
AU  - Yifeng Xue
AU  - Chen Xu
AU  - Xiaofan Wang
AU  - Longtao Pei
AU  - Yanhui Han
PY  - 2018/05
DA  - 2018/05
TI  - An Algorithm to Determine Driver’s Fatigue Driving According to Characteristic Parameters Based on the Theory of Rough Set Importance
BT  - 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-18.2018.58
DO  - https://doi.org/10.2991/amcce-18.2018.58
ID  - Chen2018/05
ER  -