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Visual Adaptation Based on Pupil Variation of Urban Underwater Tunnel Entrance

机译:基于城市水下隧道入口瞳孔变化的视觉适应

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摘要

A driver's visual adaptability is of great significance to the operation safety of urban underwater tunnels. Based on the study of drivers' pupil area distribution, the mathematical model of pupil area variation when entering the tunnel under time series was constructed, and a method of visual adaptability evaluation was established. The results demonstrated: (a) the pupil area of the driver increased when entering the tunnel until the average pupil area was 3.318 times of that before entering the tunnel when adapting to the black hole effect; (b) when entering the tunnel in the daytime, the driver's visual adaptability outside the tunnel was better than inside; and (c) the side walls on both sides of the ramp in front of the entrance and the shading shed can enhance the driver's visual adaptability to the black hole effect. The research results can provide theoretical support for the safety management of urban underwater tunnel entrances.
机译:驾驶员的视觉适应性对城市水下隧道的操作安全性具有重要意义。 基于对司机瞳孔区分布的研究,构建了在时间序列进入隧道时瞳孔区域变化的数学模型,建立了一种可视适应性评价方法。 结果表明:(a)当进入隧道时,驾驶员的瞳孔区域增加,直到平均瞳孔面积为3.318次,在适应黑洞效果之前进入隧道; (b)在白天进入隧道时,驾驶员在隧道之外的视觉适应性优于内部; (c)入口前坡道两侧的侧壁和遮蔽棚可以增强驾驶员对黑洞效应的视觉适应性。 研究结果可以为城市水下隧道入口的安全管理提供理论支持。

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