Scanlon John M, Sherony Rini, Gabler Hampton C
a Biomedical Engineering and Mechanics Department , Virginia Tech , Blacksburg , Virginia.
b Toyota Engineering & Manufacturing North America, Inc. , Ann Arbor , MI.
Traffic Inj Prev. 2017 May 29;18(sup1):S9-S17. doi: 10.1080/15389588.2017.1300257. Epub 2017 Mar 21.
Accounting for one fifth of all crashes and one sixth of all fatal crashes in the United States, intersection crashes are among the most frequent and fatal crash modes. Intersection advanced driver assistance systems (I-ADAS) are emerging vehicle-based active safety systems that aim to help drivers safely navigate intersections. The objective of this study was to estimate the number of crashes and number of vehicles with a seriously injured driver (Maximum Abbreviated Injury Scale [MAIS] 3+) that could be prevented or reduced if, for every straight crossing path (SCP) intersection crash, one of the vehicles had been equipped with an I-ADAS.
This study retrospectively simulated 448 U.S. SCP crashes as if one of the vehicles had been equipped with I-ADAS. Crashes were reconstructed to determine the path and speeds traveled by the vehicles. Cases were then simulated with I-ADAS. A total of 30 variations of I-ADAS were considered in this study. These variations consisted of 5 separate activation timing thresholds, 3 separate computational latency times, and 2 different I-ADAS response modalities (i.e., a warning or autonomous braking). The likelihood of a serious driver injury was computed for every vehicle in every crash using impact delta-V. The results were then compiled across all crashes in order to estimate system effectiveness.
The model predicted that an I-ADAS that delivers an alert to the driver has the potential to prevent 0-23% of SCP crashes and 0-25% of vehicles with a seriously injured driver. Conversely, an I-ADAS that autonomously brakes was found to have the potential to prevent 25-59% of crashes and 38-79% of vehicles with a seriously injured driver. I-ADAS effectiveness is a strong function of design. Increasing computational latency time from 0 to 0.5 s was found to reduce crash and injury prevention estimates by approximately one third. For an I-ADAS that delivers an alert, crash/injury prevention effectiveness was found to be very sensitive to changes in activation timing (warning delivered 1.0 to 3.0 s prior to impact). If autonomous braking was used, system effectiveness was found to largely plateau for activation timings greater than 1.5 s prior to impact. In general, the results of this study suggest that I-ADAS will be 2-3 times more effective if an autonomous braking system is utilized over a warning-based system.
This study highlights the potential effectiveness of I-ADAS in the U.S. vehicle fleet, while also indicating the sensitivity of system effectiveness to design specifications. The results of this study should be considered by designers of I-ADAS and evaluators of this technology considering a future I-ADAS safety test.
在美国,交叉路口碰撞事故占所有碰撞事故的五分之一,占所有致命碰撞事故的六分之一,是最频繁且致命的碰撞类型之一。交叉路口先进驾驶辅助系统(I-ADAS)是新兴的基于车辆的主动安全系统,旨在帮助驾驶员安全通过交叉路口。本研究的目的是估计,如果在每起直穿交叉路口(SCP)碰撞事故中,有一辆车配备了I-ADAS,那么可以预防或减少的碰撞事故数量以及驾驶员受重伤(最高简略损伤量表[MAIS] 3+)的车辆数量。
本研究回顾性模拟了448起美国SCP碰撞事故,就好像其中一辆车配备了I-ADAS一样。对碰撞事故进行重建,以确定车辆行驶的路径和速度。然后用I-ADAS对案例进行模拟。本研究共考虑了30种I-ADAS变体。这些变体包括5个不同的激活定时阈值、3个不同的计算延迟时间以及2种不同的I-ADAS响应模式(即警告或自动制动)。使用碰撞速度变化量计算每起碰撞事故中每辆车驾驶员受重伤的可能性。然后汇总所有碰撞事故的结果,以评估系统有效性。
该模型预测,向驾驶员发出警报的I-ADAS有潜力预防0 - 23%的SCP碰撞事故以及0 - 25%驾驶员受重伤的车辆。相反,发现自动制动的I-ADAS有潜力预防25 - 59%的碰撞事故以及38 - 79%驾驶员受重伤的车辆。I-ADAS的有效性很大程度上取决于设计。发现将计算延迟时间从0增加到0.5秒会使碰撞和伤害预防估计值降低约三分之一。对于发出警报的I-ADAS,碰撞/伤害预防有效性对激活定时的变化(在碰撞前1.0至3.0秒发出警告)非常敏感。如果使用自动制动,对于碰撞前大于1.5秒的激活定时,系统有效性基本趋于平稳。总体而言,本研究结果表明,如果使用自动制动系统而非基于警告的系统,I-ADAS的有效性将提高2至3倍。
本研究突出了I-ADAS在美国车辆群体中的潜在有效性,同时也表明了系统有效性对设计规格的敏感性。I-ADAS的设计者以及考虑未来I-ADAS安全测试的该技术评估者应考虑本研究结果。