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首页> 外文期刊>Transportation research >Quality of control takeover following disengagements in semi-automated vehicles
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Quality of control takeover following disengagements in semi-automated vehicles

机译：半自动车辆脱离后的控制接管质量

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摘要

This study examines drivers' responses to automated driving technology failures in semi-automated vehicles. The study is executed in a human-in-the-loop setting, within a high-fidelity integrated car simulator capable of handling both manual and automated driving. A population of 40 individuals was tested, with metrics for control takeover quantification given by vehicle maximum lane offset with respect to the lane centerline, and integral offset over an S-curve turn to compare performance during recovery after automation technology failure and conventional manual driving. Independent variables for the study are the age of the driver, the speed at the time of disengagement, and time at which the disengagement occurs (i.e., how long automation was engaged for). Overall results show better performance for lower speed settings with maximum drift increasing over 116% for higher speed settings. Moreover, contrary to expectations, the age factor was found to be not statistically significant for drift performance, with older participants performing better than or equal to the younger age groups. The time dependency observed was non-linear, and the results highlighted the need for additional testing for this variable. A detailed analysis of variance, as well as preliminary recommendations for regulatory operational limitations, are presented. (C) 2019 Elsevier Ltd. All rights reserved.
机译：这项研究检查了驾驶员对半自动车辆中自动驾驶技术故障的反应。这项研究是在人为在环的环境中进行的，该环境在能够处理手动和自动驾驶的高保真集成汽车模拟器中进行。测试了40个人，并通过车辆相对于车道中心线的最大车道偏移量以及S形弯道上的整体偏移量来给出控制权接管量化指标，以比较自动化技术故障和常规手动驾驶后的恢复过程中的性能。该研究的独立变量是驾驶员的年龄，脱离时的速度以及脱离发生的时间（即，从事自动驾驶的时间）。总体结果显示，低速设置具有更好的性能，高速设置的最大漂移超过116％。此外，与预期相反，发现年龄因素对漂移表现没有统计学意义，年龄较大的参与者表现优于或等于年龄较小的群体。观察到的时间依赖性是非线性的，结果强调了对该变量进行额外测试的必要性。介绍了方差的详细分析，以及针对监管操作限制的初步建议。 （C）2019 Elsevier Ltd.保留所有权利。

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