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基于固定和表面肌电的自适应共享转向控制对分心驾驶员行为的影响。

Effect of Fixed and sEMG-Based Adaptive Shared Steering Control on Distracted Driver Behavior.

机构信息

Institute of Industrial Science, The University of Tokyo, Tokyo 153-8505, Japan.

Department of Mechatronics Engineering, Technical University of Darmstadt, 64289 Darmstadt, Germany.

出版信息

Sensors (Basel). 2021 Nov 19;21(22):7691. doi: 10.3390/s21227691.

Abstract

Driver distraction is a well-known cause for traffic collisions worldwide. Studies have indicated that shared steering control, which actively provides haptic guidance torque on the steering wheel, effectively improves the performance of distracted drivers. Recently, adaptive shared steering control based on the forearm muscle activity of the driver has been developed, although its effect on distracted driver behavior remains unclear. To this end, a high-fidelity driving simulator experiment was conducted involving 18 participants performing double lane change tasks. The experimental conditions comprised two driver states: attentive and distracted. Under each condition, evaluations were performed on three types of haptic guidance: none (manual), fixed authority, and adaptive authority based on feedback from the forearm surface electromyography of the driver. Evaluation results indicated that, for both attentive and distracted drivers, haptic guidance with adaptive authority yielded lower driver workload and reduced lane departure risk than manual driving and fixed authority. Moreover, there was a tendency for distracted drivers to reduce grip strength on the steering wheel to follow the haptic guidance with fixed authority, resulting in a relatively shorter double lane change duration.

摘要

驾驶员分神是全球范围内导致交通事故的一个众所周知的原因。研究表明,共享转向控制通过主动向方向盘提供触觉引导扭矩,能有效提高分神驾驶员的表现。最近,已经开发出了基于驾驶员前臂肌肉活动的自适应共享转向控制,尽管其对分神驾驶员行为的影响仍不清楚。为此,进行了一项高保真驾驶模拟器实验,涉及 18 名参与者执行双车道变换任务。实验条件包括两种驾驶员状态:专注和分神。在每种状态下,评估了三种类型的触觉引导:无(手动)、固定权限和基于驾驶员前臂表面肌电图反馈的自适应权限。评估结果表明,对于专注和分神的驾驶员,自适应权限的触觉引导比手动驾驶和固定权限产生更低的驾驶员工作量和更低的车道偏离风险。此外,分神的驾驶员倾向于减小对方向盘的握力以跟随固定权限的触觉引导,从而导致相对较短的双车道变换持续时间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b7d/8618417/2e0f3821474d/sensors-21-07691-g001.jpg

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