基于熵权法的驾驶疲劳量化  

Driving Fatigue Quantization Based on Entropy Weight Method

作　　者：李世武[1] 尹燕娜[1,2] 王琳虹 徐艺[1] 

机构地区：[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

出　　处：《华南理工大学学报（自然科学版）》2017年第8期50-56,共7页Journal of South China University of Technology(Natural Science Edition)

基　　金：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)~~

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.In order to obtain the judging threshold of the driving fatigue objectively and accurately, the driver’s eyemovement data, reaction time and execution time under the sober and mental fatigue states are collected from adriving simulator. The driver’s eye movement data, reaction time and execution time during continused to respectively describe the driver’s gaze characteristics, reaction ability and executive abilittionship model is constructed by adopting the entropy weight method to obtain the weighted average of the threekinds 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 fatiguethreshold, the variable threshold determination method is adopted to select the thresholds of the optimal fatigue atthe first fatigue threshold and the secondary fatigue threshold. Moreover, the change rules of the driver fatigue un-dr the continuous driving condition are revealed, and the quantitative method of the driving fatigue is evaluated.Experimental results show that the proposed method can efectively improve the precision of the driving fatiguequantization, and it has a broad application prospect in the driving safety field based on the prevention of drivingfatigue.Key wor

关 键 词：驾驶人 PERCL0S 反应能力 执行能力 疲劳量化 

分 类 号：U491[交通运输工程—交通运输规划与管理]