Factor analysis of pedestrian accidents based on driver’s eye movement and the time that drivers attract pedestrian at right turn in an intersection with traffic lights

Ryuta Futagami, Ryuki Tsuboi, H. Mouri, Keisuke Kazama
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Abstract

The characteristic scenario of the Hiyari-Hatto event (i.e., a near-miss incident) wherein a driver is making a right turn is extracted from the Near-Miss Incident Database created by the Smart Mobility Research Center of the Tokyo University of Agriculture and Technology. It is confirmed that in this scenario, there exists a human error: the driver did not notice the pedestrian although the pedestrian is within the driver's field of view. Closer observation of the driver's eye movements reveals that the driver's line of sight is fixed once the driver starts making a turn. Using a novel and unprecedented measurement method, the time at which the driver recognizes the pedestrian can be pinpointed. This method is tested through the driving simulation experiment at an intersection with traffic lights, and the results confirm that there is a high possibility that the driver can miss the pedestrian after the driver starts making a turn.
基于驾驶员眼球运动和驾驶员右转吸引行人时间的行人事故因素分析
Hiyari-Hatto事件的特征场景(即差一点的事故),驾驶员正在右转,这是从东京农业技术大学智能移动研究中心创建的差一点的事故数据库中提取的。可以确认,在此场景中,存在人为错误:尽管行人在驾驶员的视野范围内,但驾驶员没有注意到行人。仔细观察司机的眼球运动可以发现,一旦司机开始转弯,他的视线就固定了。使用一种新颖的、前所未有的测量方法,可以精确地确定驾驶员识别行人的时间。通过在有红绿灯的十字路口进行驾驶模拟实验对该方法进行了测试,结果证实了驾驶员在开始转弯后与行人擦肩而过的可能性很大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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