Drink-driving Behavior Research Based on Artificial Neural Network

Abstract

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.