PILOT RESULTS ON FORWARD COLLISION WARNING SYSTEM EFFECTIVENESS IN OLDER DRIVERS.

Benjamin D Lester, Lauren N Sager, Jeffrey Dawson, Sarah D Hacker, Nazan Aksan, Matthew Rizzo, Satoshi Kitazaki
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引用次数: 5

Abstract

Advanced Driver Assistance Systems (ADAS) have largely been developed with a "one-size-fits-all" approach. This approach neglects the large inter-individual variability in perceptual and cognitive abilities that affect aging ADAS users. We investigated the effectiveness of a forward collision warning (FCW) with fixed response parameters in young and older drivers with differing levels of cognitive functioning. Drivers responded to a pedestrian stepping into the driver's path on a simulated urban road. Behavioral metrics included response times (RT) for pedal controls and two indices of risk penetration (e.g., maximum deceleration and minimum time-to-collision (TTC)). Older drivers showed significantly slower responses at several time points compared to younger drivers. The FCW facilitated response times (RTs) for older and younger drivers. However, older drivers still showed smaller safety gains compared to younger drivers at accelerator pedal release and initial brake application when the FCW was active. No significant differences in risk metrics were observed within the condition studied. The results demonstrate older drivers likely differ from younger drivers using a FCW with a fixed parameter set. Finally, we briefly discuss how future research should examine predictive relationships between domains of cognitive functioning and ADAS responses to develop parameter sets to fit the individual.

驾驶员对老年驾驶员前方碰撞警告系统有效性的试验结果。
先进驾驶辅助系统(ADAS)在很大程度上是采用“一刀切”的方法开发的。这种方法忽略了影响老年ADAS用户的感知和认知能力的巨大个体差异。我们研究了具有固定响应参数的前向碰撞警告(FCW)在不同认知功能水平的年轻和老年驾驶员中的有效性。在模拟的城市道路上,司机对行人进入司机车道做出反应。行为指标包括踏板控制的响应时间(RT)和两个风险渗透指数(例如,最大减速和最小碰撞时间(TTC))。与年轻司机相比,老年司机在几个时间点上的反应明显较慢。FCW简化了老年和年轻司机的响应时间。然而,当FCW处于激活状态时,与年轻驾驶员相比,年龄较大的驾驶员在释放油门踏板和初始制动时仍然表现出较小的安全性提升。在研究的条件下,没有观察到风险指标的显著差异。结果表明,使用固定参数集的FCW,老年驾驶员可能与年轻驾驶员不同。最后,我们简要讨论了未来的研究应该如何检查认知功能领域与ADAS反应之间的预测关系,以开发适合个体的参数集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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