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Visual information of vehicle velocity acquired by pedestrians involved in road crossing accidents

机译:参与道路过境事故的行人获得的车辆速度的视觉信息

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This paper describes a geometric optical relationship between the perceived visual information of approaching vehicles by pedestrians who intend to cross the road and the factors underlying pedestrian accidents in Japan. We create a model based on this visual information, wherein the retinal image corresponding to vehicle velocity perception is broken down into tangential components and normal components in a two-dimensional polar coordinate system that employs the nodal point of the eyeball as the origin. Our visual model uses the relationship between the tangential and normal components of the velocity to calculate the distance at which the velocity of the vehicle can be perceived by pedestrians. The maximum distance at which vehicle velocity can be perceived by pedestrians derived from the visual model is consistent with the timing at which a vehicle collides with a pedestrian most frequently in the pedestrian accidents gleaned from accident statistics. The result of the simulation of the visual model showed that the eye height of the pedestrian, the total height of the vehicle and the sensory threshold of motion determine the components by which the maximum perception distance of the vehicle velocity is given. These findings contribute to the enhancement of safety measures in traffic accidents from the pedestrian's perspective.
机译:本文介绍了打算过马路的行人接近车辆的感知视觉信息之间的几何光学关系,以及日本行人事故的因素。我们基于该视觉信息创建模型,其中对应于车辆速度感知的视网膜图像被分解为在二维极性坐标系中的切向组件和正常分量,该系统采用眼球的节点作为原点。我们的视觉模型使用速度的切向和正常部件之间的关系来计算行人可以感知车辆的速度的距离。从视觉模型中衍生的行人可以感知车辆速度的最大距离与车辆在从事故统计中收集的行人事故中最常用的行人碰撞的时间一致。视觉模型的模拟结果表明,行人的眼睛高度,车辆的总高度以及运动的感觉阈值确定了给出了车辆速度的最大感知距离的组分。这些调查结果有助于加强行人视角的交通事故中的安全措施。

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