In-depth investigation into the hierarchical causal chain of fatal crashes between vulnerable road users and single motor vehicle.

IF 1.6 3区 工程技术 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Lan Huang, Xianghai Meng, Zhibin Ren
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引用次数: 0

Abstract

Objectives: Crash pattern recognition and characterization are essential for reducing the damage vulnerable road users (VRUs) suffer in motor vehicle crashes. However, traditional methods provide an incomprehensive understanding of crash causality and the impacts of VRU-vehicle interactions. Therefore, this study aims to provide a reasonable causality for various types of crashes.

Methods: To achieve this goal, a three-layer causal analysis framework was developed. The layers consist of physical states (mainly environmental and human factors), interactions (pre-crash behaviors of drivers and VRUs), and crashes. First, latent class cluster analysis and sequence analysis were used to identify the interactive behavior patterns and crash patterns of VRU-vehicle pairs, respectively. Besides, an oversampling algorithm was proposed to assist the Granger causality test in uncovering the latent causal relationships between pre-crash behavior patterns and crash patterns. Finally, Sankey diagrams were utilized to compare and analyze the crash path.

Results: The results show that single and consecutive crashes have nine and eleven typical scenarios, respectively, excluding considering the potential causal chains. These potential causal chains provide nine new scenarios. It was found that personal subjective factors primarily influence pre-crash behavior of drivers, while for VRUs, the traffic environment plays a crucial role. Noteworthily, the highest crash risk was only associated with the causal chain where vehicles are unable to brake in time.

Conclusions: Clarifying the causal relationships between VRU-vehicle interaction and crash is essential, which can help finding the critical causes of fatal crashes. The analysis identified VRU violations and the inability of vehicles to brake in time as critical determinants of crash severity in both single and consecutive crash scenarios. Accordingly, targeted safety interventions were proposed, including enhancements to pedestrian crossing infrastructure and improvements in vehicle braking systems to mitigate crash risk.

深入调查弱势道路使用者与单一机动车辆之间致命碰撞的等级因果链。
目的:碰撞模式识别和表征对于减少易受伤害的道路使用者(vru)在机动车碰撞中遭受的伤害至关重要。然而,传统的方法对碰撞因果关系和vru -车辆相互作用的影响的理解不全面。因此,本研究旨在为各种类型的碰撞提供合理的因果关系。方法:为实现这一目标,建立了一个三层因果分析框架。这些层包括物理状态(主要是环境和人为因素)、交互(驾驶员和vru的碰撞前行为)和碰撞。首先,利用潜在类聚类分析和序列分析方法分别识别虚拟机动车辆对的交互行为模式和碰撞模式。此外,本文还提出了一种过采样算法来辅助格兰杰因果检验,以揭示碰撞前行为模式与碰撞模式之间的潜在因果关系。最后,使用Sankey图来比较和分析崩溃路径。结果:在排除潜在因果链的情况下,单次撞车和连续撞车分别有9种和11种典型情景。这些潜在的因果链提供了九种新的情景。研究发现,个人主观因素主要影响驾驶员的碰撞前行为,而对于vru来说,交通环境起着至关重要的作用。值得注意的是,最高的碰撞风险仅与车辆无法及时刹车的因果链有关。结论:明确VRU-vehicle相互作用与碰撞之间的因果关系至关重要,这有助于找到致命碰撞的关键原因。分析发现,在单次和连续碰撞场景中,VRU违规和车辆无法及时刹车是影响碰撞严重程度的关键因素。因此,提出了有针对性的安全干预措施,包括加强行人过街基础设施和改进车辆制动系统,以降低碰撞风险。
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来源期刊
Traffic Injury Prevention
Traffic Injury Prevention PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
3.60
自引率
10.00%
发文量
137
审稿时长
3 months
期刊介绍: The purpose of Traffic Injury Prevention is to bridge the disciplines of medicine, engineering, public health and traffic safety in order to foster the science of traffic injury prevention. The archival journal focuses on research, interventions and evaluations within the areas of traffic safety, crash causation, injury prevention and treatment. General topics within the journal''s scope are driver behavior, road infrastructure, emerging crash avoidance technologies, crash and injury epidemiology, alcohol and drugs, impact injury biomechanics, vehicle crashworthiness, occupant restraints, pedestrian safety, evaluation of interventions, economic consequences and emergency and clinical care with specific application to traffic injury prevention. The journal includes full length papers, review articles, case studies, brief technical notes and commentaries.
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