吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (6): 1710-1715.doi: 10.13229/j.cnki.jdxbgxb201706006

• 论文 • 上一篇    下一篇

次任务驾驶安全评价指标筛选及其权值计算

王芳荣1, 郭柏苍1, 金立生2, 高琳琳2, 岳欣羽1   

  1. 1.吉林大学 通信工程学院,长春 130022;
    2.吉林大学 交通学院,长春 130022
  • 收稿日期:2016-11-07 出版日期:2017-11-20 发布日期:2017-11-20
  • 通讯作者: 金立生(1975-),男,教授,博士生导师.研究方向:车辆智能化及仿真.E-mail:jinls@jlu.edu.cn
  • 作者简介:王芳荣(1967-),男,教授,博士.研究方向:汽车主动安全技术.E-mail:wangfr@jlu.edu.cn
  • 基金资助:
    国家自然科学基金项目(51575229); 吉林省教育厅“十三五”科学技术研究计划项目(吉教科合字[2016]第419号)

Selection of safe evaluation indexes and weight calculation for secondary task driving

WANG Fang-rong1, GUO Bai-cang1, JIN Li-sheng2, GAO Lin-lin2, YUE Xin-yu1   

  1. 1.College of Communication Engineering, Jilin University, Changchun 130022, China;
    2.College of Transportation, Jilin University, Changchun 130022, China
  • Received:2016-11-07 Online:2017-11-20 Published:2017-11-20

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摘要： 为了得到科学、合理的次任务驾驶安全评价指标体系,利用眼动仪和驾驶模拟器设备,进行了采集眼动行为参数和车辆运行状态参数的试验,并研究了其在驾驶过程中的变化规律。应用灰色聚类理论,结合一次形成聚类结构算法,代替粗糙集理论中等价关系的方法,筛选评价指标,将17个待选指标约简至7个,建立了精简的评价指标体系。在此基础上采用模糊层次分析法(FAHP),确定了各评价指标的权重,试验结果表明,一级指标中眼动行为指标和二级指标中油门开度指标最为重要。

关键词: 交通运输安全工程, 灰色粗糙集理论, 模糊层次分析法, 次任务驾驶

Abstract: In order to get scientific and reasonable secondary task driving safety evaluation index system, an experiment was conducted and the parameters of eye movement and vehicle running states were collected using an eye tracker and a driving simulator equipment. Then, the variation rules of these parameters during driving were studied. Using gray cluster analysis theory and rough set theory, 7 evaluation indexes were screened out from 17 indexes, and a streamlined evaluation index system is built. On this basis, the Fuzzy Analytic Hierarchy Process (FAHP) was used to determine the weight values of the evaluation indexes. Results show that the eye movement behavior of the first-level indexes and the throttle opening of the second-level indexes are the most important ones.

Key words: engineering of commutations and transportation safety, grey rough set theory, fuzzy analytical hierarchy process, secondary task driving

中图分类号: 

  • U471.1
[1] Jin Li-sheng, Xian Hua-cai, Niu Qing-ning, et al. Research on safety evaluation model for in-vehicle secondary task driving[J]. Accident Analysis and Prevention,2015(81):243-250.
[2] Hou Hai-jing, Jin Li-sheng, Niu Qing-ning, et al. Driver intention recognition method using continuous hidden markov model[J]. International Journal of Computation Intelligence System,2011,4(3):386-393.
[3] Sodhi M, Reimer B, Cohen J L, et al. On-road driver eye movement tracking using head-mounted devices[C]//Association for Computing Machinery, New York, NY, USA,2002:61-68.
[4] Salvucci D D. An integrated model of eye movements and visual encoding[J]. Cognitive Systems Research,2001,1(4):201-220.
[5] 刘雁飞. 驾驶行为建模研究[D]. 杭州:浙江大学计算机科学与技术学院,2007.
Liu Yan-fei. Researches on driver behavior modeling[D]. Hangzhou:College of Computer Science and Technology, Zhejiang University,2007.
[6] 咸化彩. 次任务驾驶安全性评价指标及评价模型研究[D]. 长春:吉林大学交通学院,2014.
Xian Hua-cai. Research on evaluation indexes system and evaluation model for secondary task driving[D]. Changchun:College of Transportation,Jilin University,2014.
[7] 兰继斌,徐扬,霍良安,等. 模糊层次分析法权重研究[J]. 系统工程理论与实践,2006(9):107-112.
Lan Ji-bin, Xu Yang, Huo Liang-an, et al. Research on the priorities of fuzzy analytical hierarchy process[J]. Systems Engineering-Theory and Practice,2006(9):107-112.
[8] 徐杨,周延,孙鑫,等. 基于模糊层次分析法的矿井安全综合评价[J]. 中国安全科学学报,2009,5(5):147-152,179.
Xu Yang, Zhou Yan, Sun Xin, et al. Synthesized assessment method for coal mine safety based on fuzzy analytic hierarchy process[J]. China Safety Science Journal,2009,5(5):147-152,179.
[9] 周倜. 灰色系统与粗糙集的比较研究[D]. 武汉:武汉理工大学计算机科学与技术学院,2008.
Zhou Chou. Comparative study of grey system and rough set[D]. Wuhan: School of Computer Science and Technology, Wuhan University of Technology,2008.
[10] 刘思峰,蔡华,杨英杰,等. 灰色关联分析模型研究进展[J]. 系统工程理论与实践,2013,33(8):2041-2046.
Liu Si-feng,Cai Hua,Yang Ying-jie, et al. Advance in grey incidence analysis modelling[J]. System Engineering-Theory & Practice,2013,33(8):2041-2046.
[11] 郭三党,王玲玲,刘思峰,等. 基于最大灰色关联度的聚类方法分析[J]. 数学的实践与认识,2013,43(6):195-201.
Guo San-dang, Wang Ling-ling, Liu Si-feng, et al. Grey cluster analysis based on the biggest relational grades[J]. Mathematics in Practice and Theory,2013,43(6):195-201.
[12] Pawlak Z. Rough sets[J]. International Journal of Parallel Programming,1982,11(5):341-356.
[13] 王学恩,韩崇昭,韩德强, 等. 粗糙集研究综述[J]. 控制工程,2013,20(1):1-8.
Wang Xue-en, Han Chong-zhao, Han De-qiang, et al. A survey of rough sets theory[J]. Control Engineering of China,2013,20(1):1-8.
[14] 刘秀梅,赵克勤,王传斌. 基于联系数的三角模糊数多属性决策新模型[J]. 系统工程与电子技术, 2009, 31(10): 2399-2403.
Liu Xiu-mei,Zhao Ke-qin,Wang Chuan-bin. New multiple attribute decision-making model with triangular fuzzy numbers based on connection numbers[J]. Systems Engineering and Electronics,2009,31(10):2399-2403.
[15] Herrera-Viedma E, Chiclana F, Herrera F, et al. Group decision-making model with incomplete fuzzy preference relations based on additive consistency[J]. IEEE Transactions on Systems, Man, and Cybernetics,Part B:Cybernetics,2007,37(1):176-189.
[16] 曹文瑞. 医学科技人才评价指标体系及综合评价方法研究[D]. 广州:南方医科大学卫生管理学院,2007.
Cao Wen-rui. Study on the medical scientists and technicians evaluation index system and systemic evaluation method[D]. Guangzhou:School of Health Services Management Southern, Medical University,2007.
[17] 温洪涛,任传鹏. 企业绩效评价指标的无量纲化方法的改进[J]. 经济问题,2011,382(6):61-65.
Wen Hong-tao, Ren Chuan-peng. A new study of non-measurement in evaluation of enterprise's performance[J]. On Economic Problems,2011,382(6):61-65.
[18] 王丽. 融合底层和中层字典特征的行人重识别[J]. 中国光学, 2016, 9(5): 540-546.
Wang Li. Pedestrian re-identification based on fusing low-level and mid-level features[J]. Chinese Optics, 2016, 9(5): 540-546.
[19] 李宏升, 张健. 基于小波粗糙集算法的图像拼接研究[J]. 液晶与显示, 2014, 29(2):298-303.
Li Hong-sheng, Zhang Jian. Image mosaic research based on wavelet and rough set algorithm[J]. Chinese Journal of Liquid Crystal and Displays, 2014, 29(2):298-303.
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