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Understanding Metrics of Vehicle Control Take-Over Requests in Simulated Automated Vehicles

机译:了解模拟自动化车辆的车辆控制接管要求的指标

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摘要

This paper derives an effective take-over alarm method for a Society of Automotive Engineers Level 3 automated vehicle using vehicle parameters. An experiment was conducted using a driving simulator. Forty-one subjects participated in two different scenarios: unplanned and planned operational design domain. Subjects drove on a highway at 100 km/h in automated mode. Experiment participants resumed manual control of the vehicle when the alarm was provided in the take-over state. A visual and auditory combined alarm was the most effective in terms of drivers' cognitive load showing low steering angle deviation and steering reversal rate values compared to the combined visual, auditory, and haptic alarm (p = 0.01 and 0.003). The auditory alarm was the most effective in terms of the quality of the driver's reaction showing a low maximum acceleration value compared to the combined visual, haptic alarm (p = 0.002). The combined visual, auditory, and haptic alarm was the most effective in terms of post-take-over lateral control showing a low standard deviation lateral position value compared to the haptic alarm (p < 0.001). The auditory and haptic combined alarm was the most effective in terms of post-take-over longitudinal control showing a low number of gas pedal inputs value compared to the haptic alarm (p = 0.002).
机译:本文源于汽车工程师协会3级自动化车辆使用车辆参数的有效接管报警方法。使用驾驶模拟器进行实验。四十一位科目参与了两种不同的场景:计划计划和计划的操作设计领域。受试者在自动模式下以100公里/小时的高速公路开车。实验参与者在接收状态下提供警报时恢复了车辆的手动控制。视觉和听觉组合报警是在驾驶员的认知负载方面最有效地显示出低转向角偏差和转向逆转率值与组合的视觉,听觉,触觉报警(P = 0.01和0.003)相比。听觉警报在驾驶员反应的质量方面是最有效的,显示与组合的视觉,触觉报警(P = 0.002)相比的最大加速度值低。在与触觉警报相比,综合视觉,听觉和触觉警报最有效地显示出低标准偏差横向位置值(P <0.001)。听觉和触觉组合报警是在接收后纵向控制方面最有效的,显示与触觉警报相比的较低的气踏板输入值(P = 0.002)。

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