| 汽车驾驶员主动安全性因素的辨识与分析 |
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| 引用本文： | 石坚,吴远鹏,卓斌,马勇,许晓鸣.汽车驾驶员主动安全性因素的辨识与分析[J].上海交通大学学报,2000,34(4):441-444. |
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| 作者姓名： | 石坚 吴远鹏 卓斌 马勇 许晓鸣 |
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| 作者单位： | 1. 上海交通大学,动力与能源工程学院,上海,200030
2. 上海交通大学,自动化系,上海,200030 |
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| 基金项目： | 国家自然科学基金资助项目! ( 696740 2 3 ) |
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| 摘 要： | 将驾驶员主动安全性的辨识分成熟练、疲劳程度两个独立的部分进行评价 ,并在实验的基础上 ,通过抽取与驾驶员熟练、疲劳程度相关联的特征参数的方法 ,按照实验统计结果划分成模糊子集 .通过 3个分层的模糊神经网络分别对驾驶员的熟练、疲劳程度和综合的主动安全性进行辨识和分析 ,对各个子网络采用改进的 BP算法进行学习和训练 ,达到许用误差后 ,可以定量地分析驾驶员的主动安全性因素
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| 关 键 词： | 驾驶员 主动安全性 汽车 交通事故 辨识 |
Identification and Analysis of Driver's Active Safety Factors |
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| SHI Jian,WU Yuan-peng,ZHUO Bin,MA Yong,XU Xiao-ming.Identification and Analysis of Driver's Active Safety Factors[J].Journal of Shanghai Jiaotong University,2000,34(4):441-444. |
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| Authors: | SHI Jian WU Yuan-peng ZHUO Bin MA Yong XU Xiao-ming |
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| Abstract: | The identification and evaluation of driver's active safety factors are the keystone and difficulty of the evaluation of whole synthesized Man Vehicle Road system. The identification of driver's active safety was divided into the two independent parts: the evaluation of driver's skill and fatigue. Characteristic parameters of the driver's proficiency and fatigue were extracted based on the experiments, and they were divided into fuzzy subsets according to the statistic results. Therefore, the driver's degrees of proficiency, fatigue and active safety can be identified and analyzed. When the networks were trained with the improved BP algorithm and the accepted errors were reached, the driver's active safety factors can be identified scientifically and quantitatively. |
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| Keywords: | driver active safety fuzzy neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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