吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (2): 418-425.doi: 10.13229/j.cnki.jdxbgxb201602013

• Orginal Article • Previous Articles     Next Articles

Pupil diameter based construction conflict self-feedback discrimination method

LI Shi-wu, XU Yi, SUN Wen-cai, WANG Lin-hong, GUO Meng-zhu, CHAI Meng   

  1. College of Transportation, Jilin University, Changchun 130022, China
  • Received:2014-11-12 Online:2016-02-20 Published:2016-02-20

RICH HTML

0   

PDF (PC)

553

Abstract:

In order to find traffic conflict discrimination indicator, which can reflect the driver's mental load, and to establish the traffic conflict discrimination method based on the indicator, the correlation between the conflict stimuli and the pupil diameter is determined by comparative analysis. A pupil diameter based construction conflict self-feedback discrimination method is proposed based on the research of the influence of traffic conflict on the pupil diameter. This method overcomes the shortcomings of normal template discrimination method, including too much manual intervention and lower discriminating efficiency. Construction conflict discrimination results show that the error rate of the self-feedback method is 5.56%, and the error rate of the non-feedback method is 24.4%, thus, the high discrimination precision and no manual intervention of the self-feedback discrimination method are testified. The proposed method can meet the present requirements of traffic conflict discrimination and road safety evaluation. This work lays foundation for further study of relationship between traffic conflict severity and pupil diameter, and to build traffic conflict quantification system based on driver's eye movement characteristics.

Key words: traffic and transportation engineering, traffic conflict technique, self-feedback discrimination method, driver, pupil diameter, construction conflict

CLC Number: 

  • U491
[1] 张苏.中国交通冲突技术[M]. 成都: 西南交通出版社, 1998.
[2] 郭伟伟,曲昭伟,王殿海.交通冲突判别模型[J].吉林大学学报:工学版,2011,41(1):35-40.
Guo Wei-wei,Qu Zhao-wei,Wang Dian-hai.Traffic conflict discrimination model[J].Journal of Jilin University(Engineering and Technology Edition),2011,41(1):35-40.
[3] 孟祥海, 徐汉清, 王浩, 等. 基于 TTC 及 DRAC 的高速公路施工区追尾冲突研究[J]. 交通信息与安全, 2012, 30(6): 6-10.
Meng Xiang-hai, Xu Han-qing, Wang Hao, et al. Rear-end conflict of freeway work zone based on TTC and DRAC[J]. Journal of Transportation Information and Safety, 2012, 30(6): 6-10.
[4] 徐汉清. 基于碰撞时间的侧向冲突指标计算模型研究[J]. 城市道桥与防洪, 2014 (6): 268-271.
Xu Han-qing. Study of side crash conflict index calculating model based on time to collision(TTC)[J]. City Bridges & Flood, 2014 (6): 268-271.
[5] 巴布可夫.道路条件与交通组织[M].祁振庆,译.北京:中国建筑工业出版社,1983.
[6] Fu C Y, Pei Y L. Analysis on driver's physiological and eye movement characteristics under alcohol effect[J].Advanced Engineering Forum,2012(5): 138-143.
[7] Neumann D L, Lipp O V. Spontaneous and reflexive eye activity measures of mental workload[J]. Australian Journal of Psychology, 2002, 54(3): 174-179.
[8] Einhäuser W, Stout J, Koch C, et al. Pupil dilation reflects perceptual selection and predicts subsequent stability in perceptual rivalry[J]. Proceedings of the National Academy of Sciences, 2008, 105(5): 1704-1709.
[9] Steinhauer S R, Siegle G J, Condray R, et al. Sympathetic and parasympathetic innervation of pupillary dilation during sustained processing[J]. International Journal of Psychophysiology, 2004, 52(1): 77-86.
[10] Winn B, Whitaker D, Elliott D B, et al. Factors affecting light-adapted pupil size in normal human subjects[J]. Investigative Ophthalmology & Visual Science, 1994, 35(3): 1132-1137.
[11] Pedrotti M, Mirzaei M A, Tedesco A, et al. Automatic stress classification with pupil diameter analysis[J]. International Journal of Human-Computer Interaction, 2014, 30(3): 220-236.
[12] Guan Hai-yan, Zhang Jian-qing, Hu Qi, et al. Line extraction of industrial parts based on least square template matching[C]//Proceedings of 1st International Congress on Image and Signal Processing,United States, 2008: 696-700.
[13] Wu Di-jia, Liu D, Puskas Z, et al. A learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images[C]//Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,United States, 2012: 980-987.
[14] 罗石贵,周伟. 路段交通冲突技术研究[J]. 公路交通科技, 2001,18(1):65-68.
Luo Shi-gui, Zhou Wei. Research on road traffic conflict technique[J]. Journal of Highway and Transportation Research and Development, 2001,18(1):65-68.
[15] 罗石贵, 周伟. 路段交通冲突的调查技术[J]. 长安大学学报: 自然科学版, 2003, 23(1): 71-75.
Luo Shi-gui, Zhou Wei. Survey way of road-traffic-conflict technique[J]. Journal of Chang'an University (Natural Science Edition), 2003, 23(1): 71-75.
[16] Machhale K S, Zode Pradnya P, Zode Pravin P. Implementation of number recognition using adaptive template matching and feature extraction method[C]//Proceedings-International Conference on Communication Systems and Network Technologies,Rajkot, 2012: 194-197.
[17] 聂海涛, 龙科慧, 马军,等. 采用改进尺度不变特征变换在多变背景下实现快速目标识别[J]. 光学精密工程, 2015, 23(8): 2349-2356.
Nie Hai-tao, Long Ke-hui, Ma Jun, et al. Fast object recognition under multiple varying background using improved SIFT method[J].Optics and Precision Engineering, 2015, 23(8): 2349-2356.
[18] Zhu Wei, Yao Li-xiu. Facial feature extraction based on template matching searching[J]. Journal of Shanghai Jiaotong University, 2009,43(12): 1858-1862.
[19] 董晓庆, 陈洪财. 基于子模式双向二维线性判别分析的人脸识别[J]. 液晶与显示, 2015, 30(6): 1016-1023.
Dong Xiao-qing, Chen Hong-cai. Face recognition based on sub-pattern two-directional two-dimensional linear discriminant analysis[J].Chinese Journal of Liquid Crystals and Displays, 2015, 30(6): 1016-1023.
[20] Hao Ming, Deng Ka-zhong, Zhang Hua. An improved active contour model to extract buildings based on remotely sensed data[J]. Journal of China University of Mining and Technology, 2012, 41(5): 833-838.
[21] 马艳.基于颜色与模板匹配的人脸检测方法[D].大连:大连理工大学控制科学与工程学院, 2006.
Ma Yan. A face detection method based on color and template matching[D]. Dalian:School of Control Science and Engineering,Dalian University of Technology, 2006.
[22] 李世武, 徐艺, 孙文财, 等. 基于自反馈模板提取的车辆遥感图像识别[J]. 华南理工大学学报: 自然科学版, 2014, 42(5): 97-102.
Li Shi-wu, Xu Yi, Sun Wen-cai, et al. A vehicle remote sensing image recognition method based on self-feedback template extraction[J]. Journal of South China University of Technology (Natural Science Edition), 2014, 42(5): 97-102.
[23] 武治国, 李桂菊. 动态目标识别中的实时复杂巡航场景运动检测[J]. 2014, 29(5) 844-849.
Wu Zhi-guo, Li Gui-ju. Real-time complex cruise scene detection technology in target recognition[J]. Chinese Journal of Liquid Crystals and Displays, 2014, 29(5) 844-849.
[1] LI Jing, HAN Zuo-yue, YANG Wei, XING Guo-cheng, ZHOU Yu. Drive system for magnetorheological suspension based on nonlinear damper electric model [J]. 吉林大学学报(工学版), 2018, 48(3): 645-651.
[2] LIU Zhi-feng, HUN Lian-ming, YIN Ya-wen, WANG Jian-hua, LUO Zong-lan, DONG Xiang-min. Modeling of bearing capacity of fixed hydrostatic turntable considering centrifugal force [J]. 吉林大学学报(工学版), 2017, 47(6): 1791-1795.
[3] LI Xian-sheng, MENG Fan-song, ZHENG Xuan-lian, REN Yuan-yuan, YAN Jia-hui. Driver's visual characteristics based on stress response [J]. 吉林大学学报(工学版), 2017, 47(5): 1403-1410.
[4] GAO Zhen-hai, LE DinhDat, HU Hong-yu, SUN Yi-teng. Recognition method of driver's unintentional lane departure [J]. 吉林大学学报(工学版), 2017, 47(3): 709-716.
[5] LI Xian-sheng, LI Ming-ming, ZHENG Xue-lian, REN Yuan-yuan. Analysis of vehicle braking performance and drivers' screen gaze characteristics under effect of small amount alcohol [J]. 吉林大学学报(工学版), 2017, 47(2): 408-413.
[6] XU Jin, CHEN Wei, ZHOU Jia, LUO Xiao, SHAO Yi-ming. Correlation between steering and driver's workload [J]. 吉林大学学报(工学版), 2017, 47(2): 438-445.
[7] LI Xian-sheng, LI Ming-ming, REN You, YAN Jia-hui, CHEN Xiao-xia. Driver's fixation characteristics in different urban road alignments [J]. 吉林大学学报(工学版), 2016, 46(5): 1447-1452.
[8] GAO Zhen-hai, YAN Wei, LI Hong-jian, WANG Da-zhi, WANG Lin. Design of linear parametrically varying headway control algorithm for ACC vehicles [J]. 吉林大学学报(工学版), 2016, 46(4): 1023-1029.
[9] LI Peng-hui, ZHANG Wen-hui, HU Meng-xia, LI Yi-bing, WU Biao. Analysis on saccade behavior of driver during overtaking on freeway [J]. 吉林大学学报(工学版), 2016, 46(1): 114-119.
[10] MA Yong, SHI Yong-quan, FU Rui, GUO Ying-shi. Impact of driver's distracted driving time on vehicle lane departure [J]. 吉林大学学报(工学版), 2015, 45(4): 1095-1101.
[11] QU Jian-jun, GUO Wen-feng, LI Jiang, LIU Chang. Design of an inverse clamping piezoelectric inchworm motor with linear long distance [J]. 吉林大学学报(工学版), 2015, 45(4): 1168-1174.
[12] WU Jian,YAO Lin-lin,ZHU Bing,DENG Wei-wen. Identification of driver individualities using Gaussian mixture model [J]. 吉林大学学报(工学版), 2015, 45(1): 38-43.
[13] JIA Hong-fei, TAN Yun-long, LI Qiang, YANG Dong. Gap acceptance model of expressway weaving area based on driver characteristics [J]. 吉林大学学报(工学版), 2015, 45(1): 55-61.
[14] ZHU Jin-cheng, XIAO Feng, SHUAI Bin, LIU Xiao-bo. Impact and feasibility of charging taxis in pricing zone [J]. 吉林大学学报(工学版), 2015, 45(1): 89-96.
[15] GAO Zhen-hai,WU Tao,ZHAO Hui. Model of driver's braking moment in virtual car following collision avoidance scenes [J]. 吉林大学学报(工学版), 2014, 44(5): 1233-1239.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Engineering and Technology Edition), All Rights Reserved.
Tel: +86-431-85095297　Fax: +86-431-85094074　E-mail: xbgxb@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd