Citation: | XU Chuan, GUO Qiming, WANG Xuesong. Driver Behavior Response to Drowsiness Alarming at Different Levels[J]. Journal of Southwest Jiaotong University, 2019, 54(1): 189-195. doi: 10.3969/j.issn.0258-2724.20180254 |
国务院滨保高速天津" 10•7”特别重大交通事故调查组. 滨保高速天津" 10•7”特别重大交通事故调查报告[R]. 北京:中华人民共和国国务院, 2012
|
国务院包茂高速陕西延安" 8•26”特别重大道路交通事故调查组. 包茂高速延安" 8•26”特大道路交通事故调查报告[R]. 北京: 中华人民共和国国务院, 2013
|
国务院办公厅. 国务院关于加强道路交通安全工作的意见 [EB/OL].(2012-07-27) [2017-02-05]. http://www.gov.cn/zwgk/2012-07/27/content_2193042.htm
|
中华人民共和国工业和信息化部. 关于进一步提高大中型客货车安全技术性能加强车辆《公告》管理和注册登记管理工作的通知[EB/OL].(2011-12-31)[2017-02-05]. http://www.miit.gov.cn/n1146295/n1652858/n1652930/n3757018/c3757341/content.html
|
中华人民共和国交通运输部. 关于加强道路运输车辆动态监管工作的通知[EB/OL].(2011-03-19)[2017-02-05]. http://www.chinasafety.gov.cn/Contents/Channel_5330/2011/0413/128291/asset000010003301211_0_1302663969013.html
|
G7智慧物联网公司. 中国物流大数据报告[EB/OL].(2017-01-13)[2017-02-05]. http://www.zqcn.com.cn/hongguan/201701/13/c491618.html
|
WIERWILLE W, WREGGIT S, KIRN L, et al. Research on vehicle-based driver status/performance monitoring; development, validation, and refinement of algorithms for detection of driver drowsiness[R]. Washington D. C.: US National Hightway Traffic Safety Adiministration, 1994
|
HORREY J, NOY I, FOLKARD S, et al. Research needs and opportunities for reducing the adverse safety consequences of fatigue[J]. Accident Analysis & Prevention, 2011, 43(2): 591-594
|
王福旺,王宏. 长途客车驾驶员疲劳状态脑电特征分析[J]. 仪器仪表学报,2013,34(5): 1146-1152 doi: 10.3969/j.issn.0254-3087.2013.05.027
WANG Fuwang, WANG Hong. EEG characteristic analysis of coach bus drivers in fatigue state[J]. Chinese Journal of Science Instrument, 2013, 34(5): 1146-1152 doi: 10.3969/j.issn.0254-3087.2013.05.027
|
程如中,赵勇,戴勇,等. 基于Adaboost方法的车载嵌入式疲劳驾驶预警系统[J]. 北京大学学报(自然科学版),2012,48(5): 719-726
CHENG Ruzhong, ZHAO Yong, DAI Yong, et al. An on-board embedded driver fatigue warning system based on Adaboost method[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2012, 48(5): 719-726
|
张希波,成波,冯睿嘉. 基于方向盘操作的驾驶人疲劳状态实时检测方法[J]. 清华大学学报(自然科学版),2010,50(7): 1072-1076
ZHANG Xibo, CHENG Bo, FENG Ruijia. Real-time detection of driver drowsiness based on steering performance[J]. Journal of Tsinghua University (Science and Technology), 2010, 50(7): 1072-1076
|
谭小强. 基于DSP技术的疲劳驾驶预警系统中车道偏离识别方法的研究[D]. 西安: 长安大学, 2010
|
胥川,王雪松,陈小鸿. 无侵入测量指标的驾驶疲劳检测性能评估[J]. 西南交通大学学报,2014,49(4): 720-726 doi: 10.3969/j.issn.0258-2724.2014.04.025
XU Chuan, WANG Xuesong, CHEN Xiaohong. Evaluating performance of non-intrusive indicators on drowsy driving detection[J]. Journal of Southwest Jiaotong University, 2014, 49(4): 720-726 doi: 10.3969/j.issn.0258-2724.2014.04.025
|
叶柠,孙宇舸. 基于EEG小波包子带能量比的疲劳驾驶检测方法[J]. 东北大学学报(自然科学版),2012,33(8): 1088-1092
YE Ning, SUN Yuge. A fatigue driving detection method based on wavelet packet sub-band energy ratio of EEG[J]. Journal of Northeastern University (Natural Science), 2012, 33(8): 1088-1092
|
赵晓华,许士丽,茉建,等. 基于ROC曲线的驾驶疲劳脑电样本熵判定阈值研究[J]. 西南交通大学学报,2013,48(1): 178-183 doi: 10.3969/j.issn.0258-2724.2013.01.028
ZHAO Xiaohua, XU Shili, RONG Jian, et al. Discriminating threshold of driving fatigue based on the electroencephalography sample entropy by receiver operating characteristic curve analysis[J]. Journal of Southwest Jiaotong University, 2013, 48(1): 178-183 doi: 10.3969/j.issn.0258-2724.2013.01.028
|
王连震,裴玉龙. 基于贝叶斯网络的驾驶疲劳程度识别模型[J]. 城市交通,2014,12(3): 66-74
WANG Lianzhen, PEI Yulong. Driving fatigue recognition model based on bayesian network[J]. Urban Transport of China, 2014, 12(3): 66-74
|
李家文,成波. 驾驶人状态适应式疲劳预警方法的研究[J]. 汽车工程,2011,33(8): 694-700
LI Jiawen, CHENG Bo. A study on the adaptive warning method for driving persons fatigue[J]. Automotive Engineering, 2011, 33(8): 694-700
|
胥川,王雪松,陈小鸿,等. 基于决策树的驾驶疲劳等级分析与判定[J]. 同济大学学报(自然科学版),2015,43(1): 75-81
XU Chuan, WANG Xuesong, CHEN Xiaohong, et al. Driver drowsiness level analysis and prediction based on decision tree[J]. Journal of Tongji University (Natural Science), 2015, 43(1): 75-81
|
DINGES D F, GRACE R. PERCLOS: A valid psychophysiological measure of alertness as assessed by psychomotor vigilance[R]. Washington D. C.: US Federal Highway Administration, 1998
|
胥川. 疲劳驾驶行为特征及提示有效性研究[D]. 上海: 同济大学, 2014
|
肖献强,殷延杰,王家恩. 基于个体特性的驾驶行为操纵模式建模方法[J]. 中国机械工程,2016,27(19): 2681-2686,2692 doi: 10.3969/j.issn.1004-132X.2016.19.021
XIAO Xianqiang, YIN Yanjie, WANG Jiaen. Driving behavior operation pattern modeling method based on individual characteristics[J]. China Mechanical Engineering, 2016, 27(19): 2681-2686,2692 doi: 10.3969/j.issn.1004-132X.2016.19.021
|