基于瞳孔直径的撞固定物冲突自反馈识别方法

doi:10.13229/j.cnki.jdxbgxb201602013

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

基于瞳孔直径的撞固定物冲突自反馈识别方法

李世武, 徐艺, 孙文财, 王琳虹, 郭梦竹, 柴萌

吉林大学交通学院,长春 130022

收稿日期:2014-11-12 出版日期:2016-02-20 发布日期:2016-02-20
通讯作者: 孙文财(1981-),男,副教授,博士.研究方向:交通环境与安全技术.E-mail:swcai@163.com E-mail:lshiwu@163.com
作者简介:李世武(1971-),男,教授,博士生导师.研究方向:交通环境与安全技术.E-mail:lshiwu@163.com
基金资助:
国家自然科学基金青年基金项目(51308250,51308251); 吉林大学科学前沿与交叉学科项目(2013ZY06); 中国博士后科学基金面上项目(2013M530984,2013M541306); 吉林省科技发展计划重点项目(20140204021SF); 吉林省交通运输科技项目(2014-1-3); 中国博士后基金特别资助项目(2014T70292); 高等学校博士学科点专项科研基金项目(20120061120043); 吉林大学研究生创新研究计划项目(2014054); 吉林大学竞业杯研究生创新创业项目(2014CXCY032)

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

College of Transportation, Jilin University, Changchun 130022, China

Received:2014-11-12 Online:2016-02-20 Published:2016-02-20

摘要/Abstract

摘要：

以寻找可反映驾驶人心理负荷的交通冲突识别指标及基于该指标的交通冲突识别方法为目的,通过比较分析明确了冲突刺激与瞳孔直径的相关关系.基于交通冲突领域对瞳孔直径的研究现状,针对常规模板识别需要过多人工干预,识别效率低下的缺陷,提出了基于瞳孔直径的撞固定物冲突自反馈识别方法.撞固定物冲突验证结果显示,自反馈识别方法误判率为5.56%,无反馈识别方法误判率为24.44%,证明自反馈识别方法具有较高的识别精度且无需人工干预,可满足现阶段交通冲突识别和道路安全评价的要求,为后续交通冲突严重程度-瞳孔直径关系研究以及基于驾驶人眼动特征的交通冲突量化体系构建奠定基础.

关键词: 交通运输工程, 交通冲突技术, 自反馈识别方法, 驾驶人, 瞳孔直径, 撞固定物冲突

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

中图分类号:

U491

李世武, 徐艺, 孙文财, 王琳虹, 郭梦竹, 柴萌. 基于瞳孔直径的撞固定物冲突自反馈识别方法[J]. 吉林大学学报(工学版), 2016, 46(2): 418-425.

LI Shi-wu, XU Yi, SUN Wen-cai, WANG Lin-hong, GUO Meng-zhu, CHAI Meng. Pupil diameter based construction conflict self-feedback discrimination method[J]. 吉林大学学报(工学版), 2016, 46(2): 418-425.

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基于瞳孔直径的撞固定物冲突自反馈识别方法

Pupil diameter based construction conflict self-feedback discrimination method

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