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Driver behavior in car-to-pedestrian incidents: An application of the Driving Reliability and Error Analysis Method (DREAM)

机译:车行事故中的驾驶员行为:驾驶可靠性和错误分析方法(DREAM)的应用

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摘要

To develop relevant road safety countermeasures, it is necessary to first obtain an in-depth understanding of how and why safety-critical situations such as incidents, near-crashes, and crashes occur. Video-recordings from naturalistic driving studies provide detailed information on events and circumstances prior to such situations that is difficult to obtain from traditional crash investigations, at least when it comes to the observable driver behavior. This study analyzed causation in 90 video-recordings of car-to-pedestrian incidents captured by onboard cameras in a naturalistic driving study in Japan. The Driving Reliability and Error Analysis Method (DREAM) was modified and used to identify contributing factors and causation patterns in these incidents. Two main causation patterns were found. In intersections, drivers failed to recognize the presence of the conflict pedestrian due to visual obstructions and/or because their attention was allocated towards something other than the conflict pedestrian. In incidents away from intersections, this pattern reoccurred along with another pattern showing that pedestrians often behaved in unexpected ways. These patterns indicate that an interactive advanced driver assistance system (ADAS) able to redirect the driver's attention could have averted many of the intersection incidents, while autonomous systems may be needed away from intersections. Cooperative ADAS may be needed to address issues raised by visual obstructions.
机译:要制定相关的道路安全对策,首先必须深入了解如何以及为什么发生事件,近崩溃和撞车等关键安全情况。自然驾驶研究的视频记录提供了有关此类情况之前事件和情况的详细信息,至少在可观察到的驾驶员行为方面,这是传统碰撞研究难以获得的。这项研究在日本的自然驾驶研究中,分析了车载摄像头捕获的90条汽车到行人的视频录像中的因果关系。修改了驾驶可靠性和错误分析方法(DREAM),并将其用于识别这些事件中的影响因素和因果关系模式。发现了两个主要的因果模式。在十字路口,驾驶员由于视觉障碍和/或因为他们的注意力分配给冲突行人以外的其他事物而无法识别冲突行人的存在。在远离交叉路口的事故中,这种模式与另一种模式再次发生,表明行人经常表现出出乎意料的行为。这些模式表明,能够重定向驾驶员注意力的交互式高级驾驶员辅助系统(ADAS)可以避免许多交叉路口事故,而可能需要远离交叉路口的自治系统。可能需要合作的ADAS解决视觉障碍引起的问题。

著录项

  • 来源
    《Accident Analysis & Prevention》 |2013年第1期|554-565|共12页
  • 作者单位

    Division of Vehicle Safety, Department of Applied Mechanics, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden;

    Division of Vehicle Safety, Department of Applied Mechanics, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden;

    Active Safety Research, Safety Research Division, Japan Automobile Research Institute, 2530 Karima, Tsukuba, Ibaraki 305-0822, Japan;

    Division of Vehicle Safety, Department of Applied Mechanics, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden;

    Division of Vehicle Safety, Department of Applied Mechanics, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    pedestrian; incident; naturalistic; causation; driver behavior; advanced driver assistance system;

    机译:行人;事件;自然主义因果关系驾驶员行为;先进的驾驶员辅助系统;

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