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欧洲新车安全评鉴协会驾驶员状态监测协议:自然驾驶中的分心现象发生率。

European NCAP Driver State Monitoring Protocols: Prevalence of Distraction in Naturalistic Driving.

机构信息

Seeing Machines Ltd, Canberra, ACT, Australia.

Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, VIC, Australia.

出版信息

Hum Factors. 2024 Sep;66(9):2205-2217. doi: 10.1177/00187208231194543. Epub 2023 Aug 20.

DOI:10.1177/00187208231194543
PMID:37599390
Abstract

OBJECTIVE

examine the prevalence of driver distraction in naturalistic driving when implementing European New Car Assessment Program (Euro NCAP)-defined distraction behaviours.

BACKGROUND

The 2023 introduction of Occupant Status monitoring (OSM) into Euro NCAP will accelerate uptake of Driver State Monitoring (DSM). Euro NCAP outlines distraction behaviours that DSM must detect to earn maximum safety points. Distraction behaviour prevalence and driver alerting and intervention frequency have yet to be examined in naturalistic driving.

METHOD

Twenty healthcare workers were provided with an instrumented vehicle for approximately two weeks. Data were continuously monitored with automotive grade DSM during daily work commutes, resulting in 168.8 hours of driver head, eye and gaze tracking.

RESULTS

Single long distraction events were the most prevalent, with .89 events/hour. Implementing different thresholds for driving-related and driving-unrelated glance regions impacts alerting rates. Lizard glances (primarily gaze movement) occurred more frequently than owl glances (primarily head movement). Visual time-sharing events occurred at a rate of .21 events/hour.

CONCLUSION

Euro NCAP-described driver distraction occurs naturalistically. Lizard glances, requiring gaze tracking, occurred in high frequency relative to owl glances, which only require head tracking, indicating that less sophisticated DSM will miss a substantial amount of distraction events.

APPLICATION

This work informs OEMs, DSM manufacturers and regulators of the expected alerting rate of Euro NCAP defined distraction behaviours. Alerting rates will vary with protocol implementation, technology capability, and HMI strategies adopted by the OEMs, in turn impacting safety outcomes, user experience and acceptance of DSM technology.

摘要

目的

在实施欧洲新车评估计划(Euro NCAP)定义的分心行为时,检查自然驾驶中驾驶员分心的发生率。

背景

2023 年,乘员状态监测(OSM)被引入 Euro NCAP 将加速驾驶员状态监测(DSM)的采用。Euro NCAP 概述了 DSM 必须检测到以获得最大安全分数的分心行为。在自然驾驶中,还没有研究分心行为的发生率和驾驶员报警和干预的频率。

方法

20 名医护人员配备了一辆仪器化车辆,大约两周时间。在日常工作通勤中,通过汽车级 DSM 连续监测数据,导致 168.8 小时的驾驶员头部、眼睛和注视跟踪。

结果

单一的长时间分心事件是最常见的,发生率为 0.89 次/小时。对于与驾驶相关和与驾驶不相关的扫视区域实施不同的阈值会影响报警率。蜥蜴扫视(主要是眼球运动)比猫头鹰扫视(主要是头部运动)更频繁发生。视觉分时事件的发生率为 0.21 次/小时。

结论

Euro NCAP 描述的驾驶员分心行为是自然发生的。需要眼球跟踪的蜥蜴扫视比只需要头部跟踪的猫头鹰扫视发生的频率更高,这表明不那么复杂的 DSM 将错过大量的分心事件。

应用

这项工作为原始设备制造商、DSM 制造商和监管机构提供了有关 Euro NCAP 定义的分心行为的预期报警率的信息。报警率将根据协议实施、技术能力以及原始设备制造商采用的 HMI 策略而变化,这反过来又会影响安全结果、用户体验和对 DSM 技术的接受程度。

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