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  • 标题:Evaluation and Prediction of Driver's Bad Driving Behavior Based on the Moving Vehicle Attitude
  • 本地全文:下载
  • 作者:Huaikun Xiang ; Shaopeng Yang ; Shi An
  • 期刊名称:International Journal of Security and Its Applications
  • 印刷版ISSN:1738-9976
  • 出版年度:2015
  • 卷号:9
  • 期号:11
  • 页码:63-76
  • DOI:10.14257/ijsia.2015.9.11.07
  • 出版社:SERSC
  • 摘要:The driver takes leading part in the complex model of "human-vehicle-road- environment". The driving behavior has the characteristics of randomness, impulsivity and autonomy etc. which make it difficult to study the driver's driving behavior directly. Monitoring vehicle attitude is an important element of proactive safety management of public transport vehicles. This paper constructs a data acquisition system by using an InvenSense's 6-Axis inertial measurement unit (IMU) as the center of this system, which can sense the vehicle attitude information to make up for the lack of driver senses, and then builds fuzzy synthetical evaluation model which is combined with ISO 2631- 1:1997/Amd 1:2010 standard. Finally, prediction of the driver's driving behavior in transient term has been established with Elman neural network method
  • 关键词:Attitude of Vehicles; The Active Safety of Vehicles; Driving Behavior; ; Transient-term Prediction
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