| 结合自然语言处理与改进层次分析法的乘用车驾驶舒适性评价 |
| 卢兆麟1,2, 李升波1, Schroeder Felix3, 周吉晨3, 成波1 |
| 1. 清华大学 汽车工程系, 汽车节能与安全国家重点实验室, 北京 100084; 2. 合肥学院 设计艺术系, 合肥 230601; 3. 奥迪汽车(中国)企业管理有限公司, 北京 100015 |
| Driving comfort evaluation of passenger vehicles with natural language processing and improved AHP |
| LU Zhaolin1,2, LI Shengbo1, Schroeder Felix3, ZHOU Jichen3, CHENG Bo1 |
| 1. State Key Laboratory of Automotive Safety and Energy, Department of Automotive Engineering, Tsinghua University, Beijing 100084, China; 2. Department of Art Design, Hefei University, Hefei 230601, China; 3. Audi China Enterprise Management Co., Ltd., Beijing 100015, China |
摘要:
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| 摘要为了有效和准确地评价乘用车驾驶舒适性, 构建了 “人-机-环境” 系统下的汽车驾驶舒适性本体模型, 并对驾驶舒适性的形成机制进行了阐述。通过用户访谈实验并基于改进的 “词频-逆向文件频率” (TF-IDF)方法对主题词进行提取, 获得影响驾驶舒适性的主要因素并进行分类, 在此基础上建立递阶层次结构; 针对传统层次分析法(AHP)的不足, 以三标度取代九标度以保证精确性, 通过Delphi实验, 构造两两比较判别矩阵后再进行处理, 以计算各评价指标的权重, 并对该指标体系进行一致性检验。以C级乘用车为例, 验证了该评价方法的有效性。该方法为乘用车的驾驶舒适性评价提供了一种可行的技术支持。 | ||||||
| 关键词 ：乘用车,驾驶舒适性,评价指标,层次分析法,自然语言处理 | ||||||
| Abstract：The driving comfort of drivers in passenger vehicles was evaluated using an ontology model for driving comfort in a human-machine-environment system. The model was then used to evaluate driving comfort with the main driving comfort description extracted and classified via user interviews based on the improved term frequency-inverse document frequency (TF-IDF) method. The words were then ranked in a hierarchical structure. The scale of nine in the traditional analytical hierarchy process (AHP) was replaced by a scale of three to improve the accuracy. The comparative judgment matrix was defined with the weight of each index calculated through a Delphi survey. The index consistency system was also tested. The reliability of this method was validated using C-class passenger vehicles. Thus, this gives an effective approach for evaluating vehicle driving comfort. | ||||||
| Key words：passenger vehicledriving comfortevaluation indexanalytic hierarchy processnatural language processing | ||||||
| 收稿日期: 2015-09-29 出版日期: 2016-02-17 | ||||||
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| 基金资助:国家自然科学基金项目(51505251); 中国博士后科学基金项目(2014M560955);安徽省自然科学基金项目(1508085QG144); 安徽高校省级优秀青年人才基金重点项目(2013SQRL078ZD) | ||||||
| 通讯作者:成波, 教授, E-mail: chengbo@tsinghua.edu.cnE-mail: chengbo@tsinghua.edu.cn | ||||||
| 作者简介: 卢兆麟(1980—), 男(汉), 安徽, 博士后。 | ||||||
| 引用本文: |
| 卢兆麟, 李升波, Schroeder Felix, 周吉晨, 成波. 结合自然语言处理与改进层次分析法的乘用车驾驶舒适性评价[J]. 清华大学学报（自然科学版）, 2016, 56(2): 137-143. LU Zhaolin, LI Shengbo, Schroeder Felix, ZHOU Jichen, CHENG Bo. Driving comfort evaluation of passenger vehicles with natural language processing and improved AHP. Journal of Tsinghua University(Science and Technology), 2016, 56(2): 137-143. |
| 链接本文: |
| http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2016.22.004或 http://jst.tsinghuajournals.com/CN/Y2016/V56/I2/137 |
图表:
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| 表1 程度副词量级 |
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| 表2 主题词提取结果 |
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| 图1 驾驶舒适性指标的层次体系 |
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| 表3 三标度判别指标重要性比较 |
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| 表4 RI取值[17] |
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| 表5 分层权重计算结果 |
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| 表6 各指标对于目标层的总权重 |
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| 表7 一致性计算结果 |
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| 图2 129被试Likert量表评价结果 |
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| 表8 实例各品牌车最终舒适性评分 |
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