Insurance Institute for Highway Safety, Ruckersville, Virginia.
Human Injury Consulting and Research, LLC, Charlottesville, Virginia.
Traffic Inj Prev. 2024;25(sup1):S116-S125. doi: 10.1080/15389588.2024.2359628. Epub 2024 Nov 1.
Automatic emergency braking systems with pedestrian detection (PAEB) are effective at preventing pedestrian crashes, but the safety benefits are not observed at night. This study used the Insurance Institute for Highway Safety (IIHS) PAEB test data to characterize PAEB responses in different lighting conditions and for different rated systems.
Data from 6,919 IIHS PAEB tests were retrieved from IIHS databases. Invalid trials, trials without AEB, and trials with outliers were removed leaving 5,894 trials from 212 model year 2018 to 2023 vehicles for analysis. PAEB responses were characterized by computing the time-to-collision (TTC) of forward collision warning (FCW) and AEB; brake threat number (BTN); mean deceleration; maximum deceleration; and maximum jerk. A linear mixed-effects model was used to predict each dependent measure with scenario (crossing adult, stationary adult), speed, rating (superior, basic/advanced), lighting (day, night with high beams, night with low beams), and their interactions. Vehicle was included as a random effect. A Bonferroni correction was applied to maintain a family-wise type-1 error rate of 0.05 across 138 total hypothesis tests.
PAEB system warnings were later and automatic braking occurred later as speed increased at night with low beams but changed little at night with high beams and during the day ( < 0.0004). BTN increased more rapidly as speed increased at night with low beams compared with high beams and during the day ( < 0.0004). Based on the BTN model, on average, PAEB systems can brake to avoid the adult mannequin (BTN < 1) when closing speed is less than 67 km/h during the day and at night with high beams but only when closing speed is less than 49 km/h at night with low beams. Superior-rated PAEB systems warned and braked earlier compared with basic/advanced-rated systems ( < 0.0004).
Increased lighting from high beams made nighttime performance resemble daytime performance in controlled testing. Increasing output from vehicle low beams, increasing the use of high beams, and enhancing overhead lighting around crosswalks and pedestrian areas are all methods for increasing lighting, improving pedestrian conspicuity, and enhancing PAEB performance to prevent pedestrian crashes.
具有行人检测功能的自动紧急制动系统(PAEB)可有效防止行人碰撞,但在夜间则无法发挥安全效益。本研究使用美国公路安全保险协会(IIHS)的 PAEB 测试数据,以不同光照条件和不同评级系统为特征描述 PAEB 的响应。
从 IIHS 数据库中检索到 6919 份 IIHS PAEB 测试数据。剔除无效试验、无 AEB 试验和异常值试验,得到 212 个车型年(2018 年至 2023 年)的 5894 次试验进行分析。通过计算前方碰撞预警(FCW)和 AEB 的碰撞时间(TTC)、制动威胁数(BTN)、平均减速度、最大减速度和最大加速度,对 PAEB 响应进行了特征描述。使用线性混合效应模型对每个依赖指标进行预测,预测指标包括场景(交叉成人、静止成人)、速度、评级(高级、基本/高级)、照明(白天、夜间远光灯、夜间近光灯)及其交互作用。车辆作为随机效应。对 138 个总假设检验进行了 Bonferroni 校正,以维持整个类型 1错误率为 0.05。
夜间近光灯时,随着速度的增加,PAEB 系统的警告和自动制动时间会延迟,但夜间远光灯和白天的变化很小( < 0.0004)。与夜间远光灯和白天相比,夜间近光灯时,BTN 随速度的增加而更快地增加( < 0.0004)。基于 BTN 模型,平均而言,当白天和夜间远光灯时的接近速度小于 67km/h,以及夜间近光灯时的接近速度小于 49km/h 时,PAEB 系统可以刹车以避免成年假人(BTN<1)。高级评级的 PAEB 系统比基本/高级评级的系统更早发出警告并进行制动( < 0.0004)。
在受控测试中,远光灯增加的照明使夜间性能类似于白天性能。增加车辆近光灯的输出、增加远光灯的使用以及增强行人横道和行人区域周围的架空照明,都是增加照明、提高行人可见度和提高 PAEB 性能以防止行人碰撞的方法。