Identifying Method of Drunk Driving Based on Driving Behavior

DOI

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.

Copyright

© 2011, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Xiaohua Zhao
AU  - Xingjian Zhang
AU  - Jian Rong
AU  - Jianming Ma
PY  - 2011
DA  - 2011/05/01
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  - 10.2991/ijcis.2011.4.3.10
ID  - Zhao2011
ER  -