[1] |
赵树磊, 孙兵, 陈稳干, 等. 超高海拔隧道施工人员生理指标变化及劳动强度研究[J]. 中国安全科学学报, 2024, 34(4): 239-246.
doi: 10.16265/j.cnki.issn1003-3033.2024.04.1748
|
|
ZHAO Shulei, SUN Bing, CHEN Wen'gan, et al. Physiological indicators and labor intensity of tunnel construction workers at ultra-high altitude[J]. China Safety Science Journal, 2024, 34(4): 239-246.
doi: 10.16265/j.cnki.issn1003-3033.2024.04.1748
|
[2] |
王安民, 何佳银, 张涛, 等. 基于驾驶模拟试验的特长公路隧道驾驶疲劳规律研究[J]. 现代隧道技术, 2022, 59(增1):610-617.
|
|
WANG Anmin, HE Jiayin, ZHANG Tao, et al. Research on driver fatigue in extra-long highway tunnels based on driving simulation test[J]. Modern Tunnelling Technology, 2022, 59(S1): 610-617.
|
[3] |
张悦, 何世永, 孙远义, 等. 隧道光环境下驾驶人视场对比度变化规律及其对行车安全的影响研究[J]. 现代隧道技术, 2023, 60(5):30-39.
|
|
ZHANG Yue, HE Shiyong, SUN Yuanyi, et al. Study on variation of driver's field of view contrast in tunnel light environment and its influence on driving safety[J]. Modern Tunnelling Technology, 2023, 60(5):30-39.
|
[4] |
陈妍, 杨芸翰, 陶建成, 等. 隧道噪声干扰下疲劳影响研究[J]. 南京大学学报:自然科学, 2021, 57(4): 690-694.
|
|
CHEN Yan, YANG Yunhan, TAO Jiancheng, et al. The influence of tunnel noise on fatigue[J]. Journal of Nanjing University: Natural Science, 2021, 57(4): 690-694.
|
[5] |
黄晶, 彭扬, 黄烨, 等. 考虑噪声标签影响的驾驶员精神负荷状态评价[J]. 汽车工程, 2022, 44(5):771-777.
|
|
HUANG Jing, PENG Yang, HUANG Ye, et al. Evaluation of driver's mental load state considering the influence of noisy labels[J]. Automotive Engineering, 2022, 44(5): 771-777.
|
[6] |
魏庆朝, 张雪峰, 臧传臻, 等. 公路隧道内主动降噪声场研究[J]. 中国公路学报, 2017, 30(1): 77-82.
|
|
WEI Qingzhao, ZHANG Xuefeng, ZANG Chuanzhen, et al. Study on active noise control sound field in highway tunnel[J]. China Journal of Highway and Transport, 2017, 30(1): 77-82.
|
[7] |
乔洁, 徐鑫, 刘传攀, 等. 驾驶人危险感知能力影响因素及干预方式综述[J]. 中国安全科学学报, 2022, 32(2): 34-41.
doi: 10.16265/j.cnki.issn1003-3033.2022.02.006
|
|
QlAO Jie, XU Xin, LlU Chuanpan, et al. Review on affecting factors and intervention methods of drivers' hazard perception ability[J]. China Safety Science Journal, 2022, 32(2): 34-41.
|
[8] |
晋良海, 尹洁, 张荣坤, 等. 塔机驾驶员的持续性视觉注意负荷研究[J]. 中国安全生产科学技术, 2018, 14(3): 157-162.
|
|
JIN Lianghai, YIN Jie, ZHANG Rongkun, et al. Study on continuous visual attention load of tower crane driver[J]. Journal of Safety Science and Technology, 2018, 14(3): 157-162.
|
[9] |
QIN Pengcheng, WANG Mingnian, CHEN Zhanwei, et al. Characteristics of driver fatigue and fatigue-relieving effect of special light belt in extra-long highway tunnel: a real-road driving study[J]. Tunnelling and Underground Space Technology, 2021, 114:DOI: 10.1016/j.tust.2021.103990.
|
[10] |
吕贞, 戚春华, 朱守林. 草原公路超车工况下驾驶人动态视觉特性及负荷[J]. 中国安全科学学报, 2022, 32(4): 15-22.
doi: 10.16265/j.cnki.issn1003-3033.2022.04.003
|
|
LYU Zhen, QI Chunhua, ZHU Shoulin. Dynamic visual characteristics and load of drivers during overtaking maneuvers on prairie highways[J]. China Safety Science Journal, 2022, 32(4): 15-22.
doi: 10.16265/j.cnki.issn1003-3033.2022.04.003
|
[11] |
梅家林, 杜志刚, 郑号染, 等. 不同时段特长隧道入口区域视觉负荷研究[J]. 中国安全科学学报, 2021, 31(6): 176-181.
doi: 10.16265/j.cnki.issn 1003-3033.2021.06.023
|
|
MEI Jialin, DU Zhigang, ZHENG Haoran, et al. Research on visual load at entrance area of extra-long tunnel in different periods[J]. China Safety Science Journal, 2021, 31(6): 176-181.
doi: 10.16265/j.cnki.issn 1003-3033.2021.06.023
|
[12] |
GERHARD M, CHRISTOPHER C, JOOSTDE W. Review of eye-related measures of drivers' mental workload[J]. Procedia Manufacturing, 2015, 3: 2 854-2 861.
|
[13] |
|
|
XU Jin, CHEN Zhenghuan, LIAO Qishuo, et al. Mental workload of drivers at high-density interchanges of freeways based on ECG data[J/OL]. Journal of Jilin University: Engineering and Technology Edition: 1-12.[2024-08-16]. https://doi.org/10.13229/j.cnki.jdxbgxb.20221522.
|
[14] |
胡宏宇, 周晓宇, 张慧珺, 等. 考虑肌电信号的驾驶人弯道操纵行为分析[J]. 中国公路学报, 2020, 33(6): 77-83.
doi: 10.19721/j.cnki.1001-7372.2020.06.007
|
|
HU Hongyu, ZHOU Xiaoyu, ZHANG Huijun, et al. Electromyogram-based driver's manipulation analysis during the curve road[J]. China Journal of Highway and Transport, 2020, 33(6): 77-83.
doi: 10.19721/j.cnki.1001-7372.2020.06.007
|
[15] |
李文博, 喻文珑, 吴盈章, 等. 道路交通与生活场景诱发下驾驶人情绪的脑认知响应差异[J]. 同济大学学报:自然科学版, 2024, 52(6):829-837.
|
|
Ll Wenbo, YU Wenlong, WU Yingzhang, et al. Difference in brain cognitive responses to driver emotions induced by road traffic and daily life scenarios[J]. Journal of Tongji University: Natural Science, 2024, 52(6): 829-837.
|
[16] |
李建平, 牛燕雄, 杨露, 等. 基于人眼状态信息的非接触式疲劳驾驶监测与预警系统[J]. 激光与光电子学进展, 2015, 52(4):89-94.
|
|
LI Jianping, NIU Yanxiong, YANG Lu, et al. Contactless driver fatigue detection and warning system based on eye state information[J]. Laser & Optoelectronics Progress, 2015, 52(4): 89-94.
|
[17] |
郭孜政, 潘雨帆, 潘毅润, 等. 驾驶员脑力负荷的SVM识别模型[J]. 哈尔滨工业大学学报, 2016, 48(3): 154-158.
|
|
GUO Zizheng, PAN Yufan, PAN Yirun, et al. SVM recognition model of driver's mental workload[J]. Journal of Harbin Institute of Technology, 2016, 48(3): 154-158.
|
[18] |
MIYAKE S. Multivariate workload evaluation combining physiological and subjective measures[J]. International Journal of Psychophysiology, 2009, 40(3): 233-238.
|
[19] |
WEI Zongmin, ZHUANG Damin, WANG Xiaoru, et al. A model for discrimination and prediction of mental workload of aircraft cockpit display interface[J]. Chinese Journal of Aeronautics, 2014, 27(5): 1 070-1 077.
|
[20] |
WANG Fan, CHEN Hong, ZHU Caihua, et al. Estimating driving fatigue at a plateau area with frequent and rapid altitude change[J]. Sensors, 2019, 19(22):DOI: 10.3390/s19224982.
|
[21] |
郑霞忠, 张蒙, 陈云, 等. 基于眼-脑生理指标的大型地下洞室驾驶员疲劳演化特征研究[J]. 安全与环境学报, 2023, 23(10):3 612-3 622.
|
|
ZHENG Xiazhong, ZHANG Meng, CHEN Yun, et al. Research on characteristics of drivers' fatigue evolution in large underground caverns based on eye-brain physiological indicators[J]. Journal of Safety and Environment, 2023, 23(10): 3 612-3 622.
|
[22] |
刘坤, 焦钰博, 张晓明, 等. 基于心电的铁路列车驾驶压力检测研究[J]. 中国安全科学学报, 2022, 32(6): 31-37.
doi: 10.16265/j.cnki.issn1003-3033.2022.06.2406
|
|
LIU Kun, JIAO Yubo, ZHANG Xiaoming, et al. Test of railway train drivers' stress by using ECG signal[J]. China Safety Science Journal, 2022, 32(6): 31-37.
doi: 10.16265/j.cnki.issn1003-3033.2022.06.2406
|