International Journal of Computational Intelligence Systems

Volume 4, Issue 3, May 2011, Pages 361 - 369

Identifying Method of Drunk Driving Based on Driving Behavior

Authors
Xiaohua Zhao, Xingjian Zhang, Jian Rong, Jianming Ma
Corresponding Author
Xiaohua Zhao
Available Online 20 May 2011.
DOI
https://doi.org/10.2991/ijcis.2011.4.3.10How to use a DOI?
Keywords
driving behavior, drunk driving, identifying indicators, Fisher discriminant function
Abstract
Drunk driving is one of the leading causes contributing to traffic crashes. There are numerous issues that need to be resolved with the current method of identifying drunk driving. Driving behavior, with the characteristic of real-time, was extensively researched to identify impaired driving behaviors. In this paper, the drives with BACs above 0.05% were defined as drunk driving state. A detailed comparison was made between normal driving and drunk driving. The experiment in driving simulator was designed to collect the driving performance data of the groups. According to the characteristics analysis for the effect of alcohol on driving performance, seven significant indicators were extracted and the drunk driving was identified by the Fisher Discriminant Method. The discriminant function demonstrated a high accuracy of classification. The optimal critical score to differentiate normal from drinking state was found to be 0. The evaluation result verifies the accuracy of classification method.
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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
4 - 3
Pages
361 - 369
Publication Date
2011/05
ISSN
1875-6883
DOI
https://doi.org/10.2991/ijcis.2011.4.3.10How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Xiaohua Zhao
AU  - Xingjian Zhang
AU  - Jian Rong
AU  - Jianming Ma
PY  - 2011
DA  - 2011/05
TI  - Identifying Method of Drunk Driving Based on Driving Behavior
JO  - International Journal of Computational Intelligence Systems
SP  - 361
EP  - 369
VL  - 4
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2011.4.3.10
DO  - https://doi.org/10.2991/ijcis.2011.4.3.10
ID  - Zhao2011
ER  -