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使用自然驾驶数据比较自动驾驶车辆追尾事故率与全国平均水平。

Comparison of automated vehicle struck-from-behind crash rates with national rates using naturalistic data.

机构信息

Virginia Transportation Research Council, 530 Edgemont Road, Charlottesville, VA, 22903, United States.

出版信息

Accid Anal Prev. 2021 May;154:106056. doi: 10.1016/j.aap.2021.106056. Epub 2021 Mar 20.

Abstract

Automated vehicle developers in California are required to submit records of crashes and distances traveled in autonomous mode for all vehicles in their fleets. Several studies have investigated this database to compare automated vehicle crash rates with national rates. Although automated vehicles are struck from behind in 73 % of their autonomous mode crashes, this is the first study to compare automated vehicle struck-from-behind crash rates to national rates using equivalent crash definitions. Rear-end collisions have substantial public health and economic impacts, representing a third of all collisions and $3.9 B in annual economic costs. In this study, automated vehicles in autonomous mode were found to be struck from behind at 4.8 times the rate of human-driven vehicles in a naturalistic driving study. When controlling for driving environment, the rates for AVs were 5.0 times higher for urban driving and not significant for business/industrial driving, although these results are for different manufacturers, complicating the results. Automated vehicles were more likely to be struck when stopped than when moving compared to human-driven vehicles, suggesting that automated vehicles' decisions about where and when to stop or remain stopped at intersections are more plausible contributing factors than unexpected rates of deceleration.

摘要

加州的自动驾驶汽车开发商被要求提交其车队中所有车辆在自动驾驶模式下的事故记录和行驶里程。已有几项研究对该数据库进行了调查,以比较自动驾驶汽车的事故率与全国平均水平。尽管自动驾驶汽车在自动驾驶模式下有 73%的事故是被追尾,但这是第一项使用等效碰撞定义来比较自动驾驶汽车被追尾事故率与全国平均水平的研究。追尾事故对公共健康和经济有重大影响,占所有事故的三分之一,每年造成 39 亿美元的经济损失。在这项研究中,在一项自然驾驶研究中,自动驾驶汽车在自动驾驶模式下被追尾的比例是人类驾驶汽车的 4.8 倍。在控制驾驶环境的情况下,自动驾驶汽车在城市道路上的追尾率是人类驾驶汽车的 5 倍,但在商业/工业道路上的追尾率没有显著差异,尽管这些结果来自不同的制造商,使结果复杂化。与人类驾驶汽车相比,自动驾驶汽车在停止时比在行驶时更容易被追尾,这表明自动驾驶汽车在交叉口停止或继续停止的位置和时间的决策更有可能是造成事故的原因,而不是减速的意外率。

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