[1]中华人民共和国交通运输部. 2022年交通运输行业发展统计公报[EB/OL]. https://www.gov.cn/govweb/lianbo/bumen/202306/content_6887539.htm. (2023-06-21) [2024-01-26]. (Ministry of Transport of the People's Republic of China. Statistical Bulletin on transport sector development in 2022[EB/OL]. https://www.gov.cn/govweb/lianbo/bumen/202306/content_6887539.htm. (2023-06-21) [2024-01-26]. (in Chinese))
[2]梁波, 牛佳安, 李硕, 等. 考虑能见度影响的公路隧道照明动态优化与智能控制[J]. 控制理论与应用, 2023, 40(10): 1783-1792. (Liang Bo, Niu Jiaan, Li Shuo, et al. Dynamic optimization and intelligent control of highway tunnel lighting considering visibility effects[J]. Control Theory & Applications, 2023, 40(10): 1783-1792. (in Chinese))
[3]包逸帆, 王明年, 秦鹏程, 等. 遮阳棚对隧道进出口明暗适应的影响规律研究[J]. 现代隧道技术, 2022, 59(1): 111-117. (Bao Yifan, Wang Mingnian, Qin Pengcheng, et al. On influence of the shading shed on the driver's light-dark adaptation at tunnel entrances and exits[J]. Modern Tunnel Tenchnology, 2022, 59(1): 111-117. (in Chinese))
[4]赖金星, 张鹏, 周慧, 等. 高速公路隧道交通事故规律研究[J]. 隧道建设(中英文), 2017, 37(1): 37-42. (Lai Jinxing, Zhang Peng, Zhou Hui, et al. Study of rules of traffic accidents in expressway tunnels[J]. Tunnel Construction, 2017, 37(1): 37-42. (in Chinese))
[5]罗浩顺, 徐良杰, 杜志刚, 等. 城市长隧道导向视觉参照系安全改善效果研究[J].中国安全科学学报, 2020, 30(4): 154-159.(Luo Haoshun,Xu Liangjie,Du Zhigang, et al.Safety improvement effect of guiding visual reference system in long urban tunnels[J]. China Safety Science Journal, 2020, 30(4): 154-159. (in Chinese))
[6]王少博. 高速公路隧道环境下驾驶人注视与负荷特性研究[D]. 西安: 长安大学, 2017. (Wang Shaobo. Drivers' eyes and load characteristics in freeway tunnel environment[D]. Xi'an: Chang'an University, 2017. (in Chinese))
[7]潘国兵, 刘圳, 刘毅, 等. 基于瞳孔变化的隧道内饰材料辅助照明研究[J]. 地下空间与工程学报, 2017, 13(3): 851-857. (Pan Guobing, Liu Zhen, Liu Yi, et al. Study on the tunnel lighting of tunnel interior material based on the pupil changes[J]. Chinese Journal of Underground Space and Engineering, 2017, 13(3): 851-857. (in Chinese))
[8]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. (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. (in Chinese))
[9]李炳杰. 基于视觉明暗适应变化规律的公路隧道洞口景观优化研究[D]. 重庆:重庆交通大学,2016. (Li Bingjie. The landscape optimization of highway tunnel opening based on visual and light adaptive changes[D]. Chongqing : Chongqing Jiaotong University, 2016. (in Chinese))
[10]尚婷, 唐伯明, 段萌萌. 基于驾驶员瞳孔面积变化率的公路视错觉减速标线横向宽度研究[J].重庆交通大学学报(自然科学版), 2016, 35(1): 111-116. (Shang Ting, Tang Boming, Duan Mengmeng. Transverse widths of highway optical illusion deceleration marking based on changing rate of driver's pupil area[J]. Journal of Chongqing Jiaotong University(Nature Science Edition), 2016, 35(1): 111-116. (in Chinese))
[11]姚霞, 邓伟, 薛芮. 地下宜居空间关键生理及心理环境要素研究[J]. 地下空间与工程学报, 2021, 17(4): 1015-1020. (Yao Xia, Deng Wei, Xue Rui. Key physiological and psychological environmental factors of underground livable environment[J]. Chinese Journal of Underground Space and Engineering, 2021, 17(4): 1015-1020. (in Chinese))
[12]梁波, 张红杰, 牛佳安, 等. 基于扫视变化特性的城市隧道驾驶紧张情绪分析[J]. 安全与环境学报, 2022, 22(5): 92-99. (Liang Bo, Zhang Hongjie, Niu Jiaan, et al. Analysis of driving nervousness in urban tunnel based on saccade change characteristics[J]. Journal of Safety and Environment, 2022, 22(5): 92-99. (in Chinese))
[13]Binda P, Pereverzeva M, Murray S O. Pupil size reflects the focus of feature-based attention[J]. Journal of Neurophysiology, 2014, 112(12): 3046-3052.
[14]朱秋晨, 吴付威, 白骅, 等. 城市快速路中央分隔带线性空间布局形式的视觉刺激对驾驶行为的影响[J]. 中国公路学报, 2022, 35(11): 239-251. (Zhu Qiuchen, Wu Fuwei, Bai Hua, et al. Influence of visual stimuli on driving behavior in the form of linear spatial layout of urban expressway median strip[J]. China Journal of Highway and Transport, 2022, 35(11): 239-251. (in Chinese))
[15]Wang S, Du Z, Chen G, et al. Drivers' visual characteristics in small-radius optically long tunnels on rural roads[J]. Tunnelling and Underground Space Technology, 2021, 113: 103969.
[16]Kircher K, Ahlstrom C. The impact of tunnel design and lighting on the performance of attentive and visually distracted drivers[J]. Accident Analysis and Prevention, 2012, 47:153-161.
[17]任昱豪, 何世永, 潘国兵, 等.基于双向反射分布函数的公路隧道照明计算方法及节能措施[J]. 隧道建设(中英文), 2020, 40(12): 1748-1756. (Ren Yuhao, He Shiyong, Pan Guobing, et al. Calculation method of highway tunnel lighting based on bidirectional reflectance distribution function and energy saving measures[J]. Tunnel Construction, 2020, 40(12): 1748-1756. (in Chinese))
[18]梁波, 董越, 闫自海, 等. 基于眼动特性的隧道中间段光环境参数敏感性分析[J]. 交通信息与安全, 2021, 39(6): 91-99. (Liang Bo, Dong Yue, Yan Zihai, et al. A sensitivity analysis of lighting condition parameters in the middle section of tunnel based on biomass index[J]. Journal of Transport Information and Safety, 2021, 39(6): 91-99. (in Chinese))
[19]何世永, 梁波, 罗红. 不同隧道侧壁涂料对汽车司机视觉反应的研究[J]. 现代隧道技术, 2017, 54(1):48-54. (He Shiyong, Liang Bo, Luo Hong. Visual reaction of different tunnel side coatings to automobile drivers[J]. Modern Tunneling Technology, 2017, 54(1): 48-54. (in Chinese))
[20]He S, Liang B, Pan G, et al. Influence of dynamic highway tunnel lighting environment on driving safety based on eye movement parameters of the driver[J]. Tunneling and Underground Space Technology, 2017, 57: 52-60.
[21]冯守中, 陈雪峰, 冒卫星, 等. 多功能蓄能发光材料辅助隧道照明光环境研究[J]. 地下空间与工程学报, 2021, 17(6): 2030-2036. (Feng Shouzhong, Chen Xuefeng, Mao Weixingi, et al. Study on light environment in tunnels decorating with multifunctional energy-storage and luminescent material[J]. Chinese Journal of Underground Space and Engineering, 2021, 17(6): 2030-2036. (in Chinese))
[22]叶飞, 张兴冰, 苏恩杰, 等. 基于驾驶舒适性的公路隧道侧壁装饰研究[J]. 现代隧道技术, 2022, 31(3): 1-9. (Ye Fei, Zhang Xingbing, Su Enjie, et al. Study on highway tunnel sidewall decoration based on driving comfort[J]. Modern Tunnel Tenchnology, 2022, 31(3): 1-9. (in Chinese))
[23]Chapman P R, Underwood G, Visual search of driving situations: danger and experience[J]. Perception, 1998, 27(8): 951-964.
[24]夏海山, 吴黎明, 张纯. 城市轨道交通站内换乘效率影响因素调查研究[J]. 地下空间与工程学报, 2021, 17(3): 657-665. (Xia Haishan, Wu Liming, Zhang Chun. Research on the influencing factors of passenger transfer efficiency in urban rail transit stations[J]. Chinese Journal of Underground Space and Engineering, 2021, 17(3): 657-665. (in Chinese))
[25]李飒, 徐保照, 李怀亮, 等. 基于概率分布高应变动测结果可靠性研究[J]. 地下空间与工程学报, 2016, 12(5): 1423-1430. (Li Sa, Xu Baozhao, Li Huailiang, et al. The study of the reliability of high strain dynamic testing based on probability distribution[J]. Chinese Journal of Underground Space and Engineering, 2016, 12(5): 1423-1430. (in Chinese))
[26]Xu J, Zhang X, Liu H, et al. Physiological indices and driving performance of drivers at tunnel entrances and exits: a simulated driving study[J]. PLoS One, 2020, 15(12): 1-19.
[27]赵兴东, 牛佳安, 汪为平, 等. 基于BP神经网络的矿石非计划贫化预测[J]. 金属矿山, 2021 (7): 34-39. (Zhao Xingdong, Niu Jiaan, Wang Weiping, et al. Prediction of unplanned ore dilution based on BP neural network[J]. Metal Mine, 2021 (7): 34-39. (in Chinese))
