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用于表征冲出路外碰撞事故的国家汽车抽样系统/碰撞数据标准的扩展

Expansion of NASS/CDS for characterizing run-off-road crashes.

作者信息

Riexinger Luke E, Gabler Hampton C

机构信息

Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA, USA.

出版信息

Traffic Inj Prev. 2020 Oct 12;21(sup1):S118-S122. doi: 10.1080/15389588.2020.1798942. Epub 2020 Aug 17.

Abstract

OBJECTIVE

Run-off-road (ROR) crashes account for one-third of all annual crash fatalities in the US. The National Automotive Sampling System Crashworthiness Data System (NASS/CDS) is a dataset which may be used to understand the nature of ROR crashes. Despite the wealth of coded data available in NASS/CDS, this dataset lacks coded information about the roadside environment and the off-road trajectory of the vehicle. This information would be useful for determining lane departure warning (LDW) benefits, residual safety problems, performance of current safety hardware, lane marking inventory, LDW test procedure development, radius of curvature characterization, and effectiveness of ESC. The purpose of this paper is to demonstrate a methodology for expanding the data available in NASS/CDS to form and validate a specialized road departure database.

METHODS

Observed, measured, and reconstructed data elements were extracted from NASS/CDS and compiled into the National Cooperative Highway Research Program (NCHRP) 17-43 database. Observed variables were primarily coded from the scene photographs and included information such as the lane markings, and geometry of the roadside cross-section. Additional variables were measured from the scaled scene diagrams including the path of the vehicle, road dimensions, and roadside object positions. The vehicle impact speed and departure speed were reconstructed using the WinSMASH delta-v, roadside object characteristics, and vehicle path. Two studies were conducted to demonstrate the usefulness of the NCHRP 17-43 database in evaluating both vehicle-based and infrastructure-based ROR countermeasures.

RESULTS

The resulting NCHRP 17-43 database includes 1,581 NASS/CDS cases representing 510,154 ROR crashes. Analysis of the database found that drivers which crashed following an overcorrection were younger than drivers which did not overcorrect. This may indicate that inexperienced drivers are more likely to overcorrect when departing the roadway. The 85 percentile impact severity of ROR crashes, which occur on roads with a speed limit greater than 65 mph, is higher than the practical worst-case test conditions for roadside barriers.

CONCLUSIONS

The NCHRP 17-43 database contains information extracted from NASS/CDS cases to better understand the nature of ROR crashes, driver behavior in these crashes, and the potential benefits of both vehicle-based and infrastructure-based ROR countermeasures.

摘要

目的

冲出道路(ROR)碰撞事故占美国每年所有碰撞事故死亡人数的三分之一。国家汽车抽样系统碰撞安全性数据系统(NASS/CDS)是一个数据集,可用于了解ROR碰撞事故的性质。尽管NASS/CDS中有大量编码数据,但该数据集缺乏有关路边环境和车辆越野轨迹的编码信息。这些信息对于确定车道偏离警告(LDW)的益处、残余安全问题、当前安全硬件的性能、车道标线清单、LDW测试程序开发、曲率半径表征以及电子稳定控制系统(ESC)的有效性将很有用。本文的目的是展示一种方法,用于扩展NASS/CDS中可用的数据,以形成并验证一个专门的道路偏离数据库。

方法

从NASS/CDS中提取观察到的、测量的和重建的数据元素,并将其汇编到国家公路合作研究计划(NCHRP)17 - 43数据库中。观察变量主要从现场照片中编码,包括车道标线和路边横截面几何形状等信息。其他变量从按比例绘制的现场示意图中测量,包括车辆路径、道路尺寸和路边物体位置。使用WinSMASH速度变化量、路边物体特征和车辆路径重建车辆碰撞速度和离开速度。进行了两项研究以证明NCHRP 17 - 43数据库在评估基于车辆和基于基础设施的ROR对策方面的有用性。

结果

最终的NCHRP 17 - 43数据库包含1581个NASS/CDS案例,代表510,154起ROR碰撞事故。对该数据库的分析发现,过度修正后发生碰撞的驾驶员比未过度修正的驾驶员更年轻。这可能表明经验不足的驾驶员在驶离道路时更有可能过度修正。在限速大于65英里/小时的道路上发生的ROR碰撞事故的第85百分位碰撞严重程度高于路边障碍物的实际最坏情况测试条件。

结论

NCHRP 17 - 43数据库包含从NASS/CDS案例中提取的信息,以更好地了解ROR碰撞事故的性质、这些碰撞事故中的驾驶员行为以及基于车辆和基于基础设施的ROR对策的潜在益处。

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