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车联网信息对驾驶员视觉注意的影响研究 被引量:2

Research on influence of IoV information on drivers′visual attention
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摘要 为研究车联网环境下不同信息提供方式对驾驶行为的影响,设计了基于模拟驾驶的车联网环境,并开展模拟驾驶实验,采集了4个场景下车辆的运行数据。通过绘制视觉注视点在前方区域的聚集分布图和计算视觉注视点的分心百分比,得到了不同分心任务时驾驶人视觉的关注点和分心程度;通过分析驾驶人的视线扫视特征,得到驾驶人在视觉分心时的眼动特征。对比分析了查阅文字消息和语音消息的视觉分心程度和视线扫视特征。实验数据表明,听觉的信息提供方式比视觉的方式对驾驶员视觉注意的影响小。 In order to study the impact of different information provision methods on the driving behaviors in the environment of Internet of Vehicles(IoV),an environment of IoV based on simulated driving is designed.In addition,simulated driving experiments were carried out to collect vehicle operation data in four scenarios.The driver′s visual attention points and degree of distraction during different distraction tasks are obtained by drawing the distribution map of visual fixation points in the front area and calculating the distraction percentage of visual fixation points.The driver′s eye movement characteristics in visual distraction is obtained by analyzing the driver′s sight scanning characteristics.The visual distraction and gaze scanning characteristics of text messages and voice messages were contrasted and analyzed.The experimental data show that the auditory information provision method has less impact on the driver′s visual attention than the visual information provision method.
作者 张捷 张晋崇 ZHANG Jie;ZHANG Jinchong(College of Energy and Transportation Engineering,Inner Mongolia Agricultural University,Hohhot 010018,China;Intelligent Transportation System Research Center,Wuhan University of Technology,Wuhan 430000,China;China Automotive Research and Inspection Center(Tianjin)Co.,Ltd.,Tianjin 300300,China)
出处 《现代电子技术》 2021年第11期135-140,共6页 Modern Electronics Technique
基金 内蒙古自然科学基金资助项目:基于大数据的内蒙古营运车辆危险驾驶模式辨识与干预方法研究(2018MS07009)。
关键词 车联网信息 驾驶模拟 驾驶行为绩效 信息复杂度 视觉注意 交通安全 眼动仪 协同驾驶 IoV information driving simulation driving behavior performance information complexity visual attention traffic safety eye tracker collaborative driving
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