Impact of HMI on driver’s distraction on a freeway under heavy foggy condition based on visual characteristics

Impact of HMI on driver’s distraction on a freeway under heavy foggy condition based on visual characteristics
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DOI:
10.1080/19439962.2020.1853641
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发表时间:
2020-12
影响因子:
2.6
通讯作者:
Dunli Hu;Xiaofan Feng;Xiaohua Zhao;Haijian Li;Jianming Ma;Qiang Fu
Dunli Hu;Xiaofan Feng;Xiaohua Zhao;Haijian Li;Jianming Ma;Qiang Fu
中科院分区:
工程技术3区
文献类型:
--
作者:
Dunli Hu;Xiaofan Feng;Xiaohua Zhao;Haijian Li;Jianming Ma;Qiang Fu

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基于人机界面(HMI)的车联网技术在整体安全性提升中占据主导地位。然而,人机界面对驾驶员视觉注意力的影响是不可忽视的,特别是在事故多发的多雾高速公路上。本文的目的是评估驾驶员视觉特征数据分析中人机界面引起的分心程度,并建立一个通用的评估方法。在驾驶模拟器的基础上建立了网联汽车测试平台,能见度设置为浓雾级别,技术条件设置为两种情况(带或不带HMI)。驾驶行为参数的测量包括注视频率、扫视频率和注视比例。研究人员在浓雾中设置了两种技术条件,通过基于“AttenD”算法的综合指标,对驾驶员的视觉特征和分心程度进行了对比分析。驾驶员的视觉干扰和人机界面干扰较多,可能会对驾驶员的驾驶安全产生影响。研究结果提供了一种通用的方法来评估联网车辆系统的人机界面和联网车辆系统的安全评估方法。
Abstract Connected vehicle technology relying on Human Machine Interface (HMI) achieve a dominant position in the overall safety improvement. However, the impact of HMI on the driver’s visual attention cannot be ignored, especially on the accident-prone foggy freeway. The objective of this paper is to evaluate the level of distraction caused by HMI in data analysis of drivers’ visual characteristics and to establish a generic evaluation methodology. A connected vehicle test platform has been established based on the driving simulator, in which visibility was set to the level of heavy fog and the technical condition was set in two conditions (with or without HMI). Measurement of driving behavior parameters include frequency of fixations and saccades and the proportion of fixation. The researchers compared and analyzed the driver’s visual characteristics and the degree of distraction in a combination of indices based on the AttenD algorithm, setting two technical conditions in a heavy fog. Drivers suffering more visual distraction and interference with HMI may have an impact on the driver’s driving safety. The results provide a generic approach to evaluate the HMI of a connected vehicle system and a safety assessment methodology for the connected vehicle system.