Drink-driving Behavior Research Based on Artificial Neural Network

DOI

10.2991/jiaet-18.2018.20How to use a DOI?

Keywords

neural networks; drink-driving; sensor array

Abstract

Drink-driving, alone traffic police department regulation is not enough. Only taking the necessary scientific and technological means, drink-driving illegal behavior can be effectively controlled. In this paper, first, we established the detection of drink-driving behavior model of BP neural network; Then use the sensor array, collecting the cab and the driver's own state parameters; Next normalize samples from the samples library, which are used to training network; Finally acts of drink-driving simulation test ,which can get the driver’s extent of drinking and the result of driving behavior. So you can control the driving behavior according to drivers extent of drinking and the result of driving behavior.

Copyright

© 2018, 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  - CONF
AU  - Lin Shang
AU  - Liechao Zhang
PY  - 2018/03
DA  - 2018/03
TI  - Drink-driving Behavior Research Based on Artificial Neural Network
BT  - Proceedings of the 2018 Joint International Advanced Engineering and Technology Research Conference (JIAET 2018)
PB  - Atlantis Press
SP  - 117
EP  - 121
SN  - 2352-5401
UR  - https://doi.org/10.2991/jiaet-18.2018.20
DO  - 10.2991/jiaet-18.2018.20
ID  - Shang2018/03
ER  -