基于熵权法的驾驶疲劳量化

doi:10.3969/j.issn.1000-565X.2017.08.008

华南理工大学学报（自然科学版）

基于熵权法的驾驶疲劳量化

李世武¹尹燕娜^1,2王琳虹^1†徐艺¹

1．吉林大学交通学院，吉林长春 1300220; 2．桂林航天工业学院汽车与交通工程学院，广西桂林 541004

收稿日期:2016-09-27 出版日期:2017-08-25 发布日期:2017-07-02
通信作者: 王琳虹(1984-)，女，博士，副教授，主要从事驾驶员行为、交通系统节能减排研究． E-mail:wanghonglin0520@126.com
作者简介:李世武(1971-)，男，博士，教授，主要从事驾驶员行为、交通系统节能减排研究． E-mail:lshiwu@163． com
基金资助:
吉林省长白山学者计划项目(440020031167);国家自然科学基金青年基金项目(51308251);中国博士后科学基金项目(2013M541306)

Driving Fatigue Quantization Based on Entropy Weight Method

LI Shi-wu¹YIN Yan-na^1,2 WANG Lin-hong¹ XU Yi¹

1.School of Transportation,Jilin University,Changchun 130022,Jilin,China; 2.College of Automobile and Transportation Engineering,Guilin University of Aerospace Technology,Guilin 541004,Guangxi,China.

Received:2016-09-27 Online:2017-08-25 Published:2017-07-02
Contact: 王琳虹(1984-)，女，博士，副教授，主要从事驾驶员行为、交通系统节能减排研究． E-mail:wanghonglin0520@126.com
About author:李世武(1971-)，男，博士，教授，主要从事驾驶员行为、交通系统节能减排研究． E-mail:lshiwu@163． com
Supported by:
Supported by the Jilin Province Changbai Mountain Scholar Program(440020031167)，National Natural Science Foundation of China Youth Fund Project(51308251) and China Postdoctoral Science Foundation(2013M541306)

摘要/Abstract

摘要： 为了客观准确获取驾驶疲劳判别阈值，采用驾驶模拟试验研究方法，采集驾驶员在清醒及疲劳状态下的眼动数据、反应时间、执行时间．用驾驶人连续驾驶状态下的眼动数据、反应时间、执行时间表达驾驶人注意特性、反应能力、执行能力．并以三者为自变量，驾驶疲劳量化值为因变量，基于熵权法对三者加权平均建立三者之间的关系模型．为了提高驾驶疲劳阈值的客观性，选取基于可变的阈值确定方法，得到最优一次疲劳及二次疲劳阈值．文中还揭示了驾驶人连续驾驶状态下疲劳变化规律．评价了驾驶疲劳的量化方法．试验结果表明，该方法有效地提高了驾驶疲劳量化的准确性，在预防驾驶疲劳的行车安全领域有着广泛应用前景．

关键词: 驾驶人, PER CLOS, 反应能力, 执行能力, 疲劳量化

Abstract: In order to obtain the judging threshold of the driving fatigue objectively and accurately,the driver's eye movement data,reaction time and execution time under the sober and mental fatigue states are collected from a driving simulator.The driver's eye movement data,reaction time and execution time during continuous driving are used to respectively describe the driver's gaze characteristics,reaction ability and executive ability.Then,a rela- tionship model is constructed by adopting the entropy weight method to obtain the weighted average of the three kinds of data.In the model,the three kinds of data and the quantitative values of the driving fatigue are respec- tively taken as the independent and dependent variables.In order to improve the objectivity of the driving fatigue threshold,the variable threshold determination method is adopted to select the thresholds of the optimal fatigue at the first fatigue threshold and the secondary fatigue threshold.Moreover,the change rules of the driver fatigue un- der the continuous driving condition are revealed,and the quantitative method of the driving fatigue is evaluated.Experimental results show that the proposed method can effectively improve the precision of the driving fatigue quantization,and it has a broad application prospect in the driving safety field based on the prevention of driving fatigue.

Key words: automobile drivers, percentage of eyelid closure over the pupil over time, reaction ability, executive ability, fatigue quantization

李世武尹燕娜王琳虹徐艺. 基于熵权法的驾驶疲劳量化[J]. 华南理工大学学报（自然科学版）, doi: 10.3969/j.issn.1000-565X.2017.08.008.

LI Shi-wu YIN Yan-na WANG Lin-hong XU Yi . Driving Fatigue Quantization Based on Entropy Weight Method[J]. Journal of South China University of Technology (Natural Science Edition), doi: 10.3969/j.issn.1000-565X.2017.08.008.

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基于熵权法的驾驶疲劳量化

Driving Fatigue Quantization Based on Entropy Weight Method

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