驾驶员的避撞行为:在信号灯控制的交叉路口右转时检测行人的时机

Chinami Fukui , Sho Takahashi , Toru Hagiwara
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引用次数: 0

摘要

本研究通过关注驾驶员在信号灯控制的交叉路口右转时视觉检测到行人的时机,评估了驾驶员的避免碰撞行为。研究使用了基于耳机的虚拟现实驾驶模拟器来监测驾驶员的行为。实验结果表明,及早发现行人可以减少潜在的严重冲突。驾驶员发现,在利用迎面车辆之间的空隙右转时,很难及早发现行人。基于注视跟踪,我们提出并验证了一种安全等级,它可以评估行人与右转车辆之间发生冲突的可能性。为了提高安全等级的可靠性,除了眼动测量之外,还应包括右转车辆的速度。
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Drivers' collision avoidance behavior: Timing of pedestrian detection when turning right at signalized intersections

This study evaluated drivers' collision avoidance behavior by focusing on the timing of their visual detection of pedestrians when turning right at signalized intersections. A headset-based virtual reality driving simulator was used to monitor drivers' behavior. The experiment showed that early detection of pedestrians can reduce the potential for severe conflicts. Drivers found it difficult to detect pedestrians early when using a gap between oncoming vehicles to turn right. Based on gaze tracking, we propose and validate a safety level that could potentially evaluate the potential for conflict between pedestrians and a right-turning vehicle. To increase safety level reliability, the speed of the right-turning vehicle should be included in addition to the eye measurements.

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