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共享控制能否提高超车性能?发挥人机各自优势实现更安全的操作。

Can Shared Control Improve Overtaking Performance? Combining Human and Automation Strengths for a Safer Maneuver.

机构信息

TECNALIA, Basque Research and Technology Alliance, 48160 Derio, Spain.

Centro Ricerche Fiat, 10043 Orbassano, Italy.

出版信息

Sensors (Basel). 2022 Nov 23;22(23):9093. doi: 10.3390/s22239093.

DOI:10.3390/s22239093
PMID:36501792
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9736517/
Abstract

The Shared Control (SC) cooperation scheme, where the driver and automated driving system control the vehicle together, has been gaining attention through the years as a promising option to improve road safety. As a result, advanced interaction methods can be investigated to enhance user experience, acceptance, and trust. Under this perspective, not only the development of algorithms and system applications are needed, but it is also essential to evaluate the system with real drivers, assess its impact on road safety, and understand how drivers accept and are willing to use this technology. In this sense, the contribution of this work is to conduct an experimental study to evaluate if a previously developed shared control system can improve overtaking performance on roads with oncoming traffic. The evaluation is performed in a Driver-in-the-Loop (DiL) simulator with 13 real drivers. The system based on SC is compared against a vehicle with conventional SAE-L2 functionalities. The evaluation includes both objective and subjective assessments. Results show that SC proved to be the best solution for assisting the driver during overtaking in terms of safety and acceptance. The SC's longer and smoother control transitions provide benefits to cooperative driving. The System Usability Scale (SUS) and the System Acceptance Scale (SAS) questionnaire show that the SC system was perceived as better in terms of usability, usefulness, and satisfaction.

摘要

共享控制 (SC) 协作方案,即驾驶员和自动驾驶系统共同控制车辆,近年来作为提高道路安全的一种有前途的选择受到关注。因此,可以研究先进的交互方法来提高用户体验、接受度和信任度。从这个角度来看,不仅需要开发算法和系统应用程序,还必须用真实驾驶员评估系统,评估其对道路安全的影响,并了解驾驶员如何接受和愿意使用这项技术。在这方面,这项工作的贡献是进行一项实验研究,以评估之前开发的共享控制系统是否可以提高迎面而来交通的道路上的超车性能。评估是在一个有 13 名真实驾驶员的驾驶室内进行的。基于 SC 的系统与具有传统 SAE-L2 功能的车辆进行了比较。评估包括客观和主观评估。结果表明,在安全性和可接受性方面,SC 被证明是辅助驾驶员超车的最佳解决方案。SC 的更长和更平稳的控制过渡为协作驾驶提供了好处。系统可用性量表 (SUS) 和系统接受量表 (SAS) 问卷显示,SC 系统在可用性、有用性和满意度方面被认为更好。

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2
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3
Predicting driver takeover performance in conditionally automated driving.
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Accid Anal Prev. 2020 Dec;148:105748. doi: 10.1016/j.aap.2020.105748. Epub 2020 Oct 22.
4
Asleep at the automated wheel-Sleepiness and fatigue during highly automated driving.自动驾驶时睡着了——高度自动驾驶时的困倦和疲劳。
Accid Anal Prev. 2019 May;126:70-84. doi: 10.1016/j.aap.2018.03.013. Epub 2018 Mar 21.
5
Head-on crashes on two-way interurban roads: a public health concern in road safety.双向城市间道路上的正面碰撞:道路安全中的一个公共卫生问题。
Gac Sanit. 2015 Sep;29 Suppl 1:16-23. doi: 10.1016/j.gaceta.2015.03.007. Epub 2015 Sep 2.
6
Analysis of human-machine cooperation when driving with different degrees of haptic shared control.不同程度触觉共享控制下驾驶时人机协作分析
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7
Extended time-to-collision measures for road traffic safety assessment.用于道路交通安全评估的碰撞前延长时间测量方法。
Accid Anal Prev. 2001 Jan;33(1):89-97. doi: 10.1016/s0001-4575(00)00019-1.