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  • 标题:Prediction Method of Driver's Propensity Adapted to Driver's Dynamic Feature Extraction of Affection:
  • 本地全文:下载
  • 作者:Jinglei Zhang ; Xiaoyuan Wang ; Xuegang (Jeff) Ban
  • 期刊名称:Advances in Mechanical Engineering
  • 印刷版ISSN:1687-8140
  • 电子版ISSN:1687-8140
  • 出版年度:2013
  • 卷号:5
  • 页码:1-7
  • DOI:10.1155/2013/658103
  • 语种:English
  • 出版社:Sage Publications Ltd.
  • 摘要:Driver's propensity is a dynamic measurement of driver's characteristics, such as affection and preference. In the vehicle driver-assistance system, especially its collision warning subsystem, it is also an important parameter of computing driver's intention. The prediction of driver's propensity from relative static and macroscopic perspective is an essential precondition for further researching and extracting dynamic characteristics. Physiology and psychology tests are designed to measure driver's character and calculate physiological rhythm. Changing data of driver's psychology and emotion during driving are obtained by real vehicle test. Then driver's propensity values of different types are calculated by weighting method according to the contribution rate of standard features. Results show that this method is better than the traditional psychology test, and it provides a basis for further studying dynamic characteristics of driver's affection.
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