| 引用本文: | 王琳虹,李世武,高振海.公路景观色彩对驾驶员脑电δ波成分的影响[J].哈尔滨工业大学学报,2016,48(9):35.DOI:10.11918/j.issn.0367-6234.2016.09.007 |
| WANG Linhong,LI Shiwu,GAO Zhenhai.The impacts of roadside landscape color on the δ wave of driver’s EEG signal[J].Journal of Harbin Institute of Technology,2016,48(9):35.DOI:10.11918/j.issn.0367-6234.2016.09.007 |
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| 摘要: |
| 为量化高速公路路侧景观色彩与驾驶员脑电δ波成分之间的关系，在吉珲高速公路进行道路试验，采集所需数据. 首先基于幂函数建立景观色彩值与脑电δ波成分的关系模型,然后考虑驾驶时间对驾驶员脑电δ波的累积影响，基于高斯函数建立驾驶时间与脑电δ波成分的关系模型. 最后采用联合建模的方式建立驾驶时间、景观色彩值对脑电δ波成分的影响关系模型. 模型分析结果表明：路侧景观色彩均值与驾驶员脑电δ波成分呈负相关，而δ波多在驾驶疲劳时出现，即景观色彩越鲜亮，越能有效避免驾驶疲劳的加剧；驾驶员脑电的δ波成分随着驾驶时间t呈现波动，但是整体仍处于上升趋势，即驾驶员为规避因疲劳导致的行车危险而强制自己处于警醒状态，其自身会存在疲劳与抗拒疲劳的博弈过程.
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| 关键词: 交通运输安全工程 高速公路 景观色彩 驾驶时间 δ波成分 |
| DOI：10.11918/j.issn.0367-6234.2016.09.007 |
| 分类号:U491.2 |
| 文献标识码:A |
| 基金项目:国家自然科学基金(51308251)； 中国博士后科学基金(2013M541306) |
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| The impacts of roadside landscape color on the δ wave of driver’s EEG signal |
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WANG Linhong1,2, LI Shiwu1, GAO Zhenhai2
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(1.College of Transportation, Jilin University, Changchun 130025, China; 2.College of Automotive Engineering, Jilin University, Changchun 130025, China)
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| Abstract: |
| To quantify the relationship between roadside landscape and δ wave of driver’s EEG signal, real vehicle experiments were conducted in Jilin-Hunchun expressway to collect the required data. Firstly, the relationship model between landscape color and δ wave component of driver’s EEG was developed based on power function. Then considering the cumulative impact of driving time duration on δ wave component, their relationship model was developed based on Gaussian function. Finally, relationship model among driving time duration, landscape color and δ wave was brought forward using joint modeling method. The analysis results of the model show that: the landscape color is negatively correlated with δ wave component, namely the brighter of the landscape color, the lower of driver’s fatigue level. There is a fluctuating relationship between driving time and δ wave component of EEG signal and overall δ wave component would increase with the increase of driving time. Namely the driver will force him in alert state to avoid the driving risks caused by fatigue and there is a game between falling in fatigue and resisting fatigue. The study can provide theoretical foundation for the design of freeway landscape color by considering driving fatigue.
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| Key words: traffic and transportation safety engineering freeway landscape color driving time duration δ wave component |
