城市隧道驾驶员明暗适应时间研究
本文在通过设计隧道路段驾驶员明暗适应实验的基础上，通过D-Lab驾驶行为分析系统记录了驾驶员在各个隧道行驶过程中的眼动、心生理行为等参数，并主要以心率和瞳孔直径作为评价指标，分析了驾驶员在各个路段行驶过程中的明暗适应性变化特征。再运用数理统计、回归分析等相关数学方法研究了驾驶员的明暗适应性时间变化规律，构建出了驾驶员明暗适应性数学模型。为今后在隧道方面的设计和驾驶员自身在隧道内的安全行车提供更加合理与安全的方案。
关键词 交通安全 城市隧道 驾驶员 明暗适应
毕业论文设计说明书外文摘要
Title The study of light and dark adaptation time for the
drivers in the urban tunnels.
Abstract
As the throat of the traffic, the tunnel section, not only accident-prone, and the traffic accidents which happen in tunnel post-processing difficult, easy to cause group die group of injury. Tunnel import and export of the brightness of the dramatic changes, causing the pilot light and shade to adapt to difficult, is the important reason of tunnel import and export of accident black spots. Therefore, research on tunnel sections of the pilot to adapt to the characteristics of light and shade and visual security technology to improve the safety of the tunnel sections has very important significance.
This article through the design of tunnel section of the driver to adapt to the experiment on the basis of light and shade, through the D-Lab system records the driver driving behavior analysis in each eye, the heart is in the process of tunnel driving parameters, such as physical activity, and mainly in heart rate and pupil diameter as evaluation index, analyzes the driver in each section of the adaptive changes of light and shade in the process of driving. Again using the mathematical statistics, regression analysis and other related mathematical method to study the driver's time variation law of light and dark adaptation, build up the mathematical model pilot light and dark adaptation. For the future in the field of tunnel design and the driver itself in the safety of the tunnel driving provide more reasonable and safe solution.
Keywords traffic safety urban tunnels drivers light and dark adaptation
目 次
1 绪论 1
1.1 背景和意义 1
1.2 研究内容 2
1.3 目标 3
1.4 拟解决关键科学问题 3
1.5 技术路线 4
2 国内外研究现状 5
2.1 视觉方面 5
2.2 心生理方面 6
2.3 明暗适应性 6
2.4 交通安全方面 7
2.5 小结 8
3 交通调研 9
3.1 实验目的与思路 9
3.2 实验的方案设计 9
3.3 实验过程 13
4 数据分析 16
4.1 数据挖掘，特征提取 16
4.2 特征分析 20
4.3 模型分析 24
5 成果应用 30
5.1 隧道照明设计 30