| 汽车驾驶倾向性模糊多层次综合评判方法 |
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| 引用本文： | 张敬磊,王晓原,杨新月,王梦莎,高松. 汽车驾驶倾向性模糊多层次综合评判方法[J]. 北京理工大学学报, 2013, 33(S1): 125-128 |
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| 作者姓名： | 张敬磊 王晓原 杨新月 王梦莎 高松 |
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| 作者单位： | 山东理工大学 交通与车辆工程学院, 山东, 淄博 255091;山东理工大学 交通与车辆工程学院, 山东, 淄博 255091;山东丝绸纺织职业学院 工商管理系, 山东, 淄博 255000;山东理工大学 交通与车辆工程学院, 山东, 淄博 255091;山东理工大学 交通与车辆工程学院, 山东, 淄博 255091 |
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| 基金项目： | 国家自然科学基金资助项目(61074140);山东省自然科学基金资助项目(ZR2010FM007,ZR2011EEM034) |
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| 摘 要： | 以驾驶倾向性为研究对象,将驾驶倾向性具体化为反应判断指标、驾驶操纵指标及行车记录指标构建驾驶倾向性综合评判模型,应用模糊数学中多层次综合评判理论构造模糊评价矩阵,对驾驶员的驾驶倾向性做出综合评判,并进行了实例分析与计算. 评判结果表明其符合客观实际,具有一定的合理性和较强的实用性.
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| 关 键 词： | 交通安全 驾驶倾向性 模糊评判 模糊理论 |
| 收稿时间： | 2013-07-08 |
Judgment Method of Driver's Propensity Based on Multilevel Fuzzy Comprehensive Evaluation |
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| ZHANG Jing-lei,WANG Xiao-yuan,YANG Xin-yue,WANG Meng-sha and GAO Song. Judgment Method of Driver's Propensity Based on Multilevel Fuzzy Comprehensive Evaluation[J]. Journal of Beijing Institute of Technology(Natural Science Edition), 2013, 33(S1): 125-128 |
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| Authors: | ZHANG Jing-lei WANG Xiao-yuan YANG Xin-yue WANG Meng-sha GAO Song |
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| Affiliation: | School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, Shandong 255091, China;School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, Shandong 255091, China;Department of Business Administration, Shandong Silk Textile Vocational College, Zibo, Shandong 255000, China;School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, Shandong 255091, China;School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, Shandong 255091, China |
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| Abstract: | To judge the driver's propensity, reflection judgment index, driving operation index, and driving record index are combined to establish the driver's propensity comprehensive evaluation model. A fuzzy evaluation matrix is constructed based on the multi-level comprehensive evaluation theory in fuzzy mathematics, and then applied to driver's propensity comprehensive judgment. The proposed model is exemplified on real case and calculation. The results show the rationality and practicality of the proposed method. |
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| Keywords: | traffic safety driver's propensity fuzzy evaluation fuzzy theory |
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