燕山大学学报2016，Vol.40Issue(4)：366-371,6.DOI:10.3969/j.issn.1007-791X.2016.04.012
基于BP神经网络的驾驶员状态识别及行为分析
Drivers' state recognition and behavior analysis based on BP neural network algorithm
盛译萱1
作者信息
- 1. 亚利桑那州立大学 航空与机械工程学院，美国 坦佩85281
- 折叠
摘要
Abstract
Driver-in-loop Simulation Platform is used to simulate actual road condition and carry on the simulation driving experi-ment. Driver's behavior data is collected in real time and transmits to computer to analyze. The basic idea is to use BP neural net-work algorithm which could classify the data from platform into different driving states and Discrete Fourier transform( DFT) method which could analyze driver's behavior through of steering angle and accelerator pedal to verify the amplitude-frequency characteristic of different driving behavior is related to driver's operation ability and safety of vehicle.关键词
BP神经网络/驾驶状态识别/行为分析Key words
BP neural network/driving state recognition/behavior analysis分类
信息技术与安全科学引用本文复制引用
盛译萱..基于BP神经网络的驾驶员状态识别及行为分析[J].燕山大学学报,2016,40(4):366-371,6.
