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常见驾驶行为下驾驶人注意力分配特征 被引量:6

Attention Allocation Features of Drivers Under Common Driving Behaviors
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摘要 为了获得驾驶人在常见驾驶行为下的注意力分配特征,借助驾驶模拟器采集特定交通流下的驾驶人眼动数据,利用注视时间和视觉信息搜索范围表征驾驶人注意力分配;分析不同驾驶行为下的驾驶人注意力分配特征,并探究来自不同方向的交通流对驾驶人注意力分配的影响。结果表明:驾驶人对前方正中心总是给予足够多的关注;自由流条件下,车辆转弯或换道时,驾驶人对正中心的关注下降,对转向一侧的关注增加,并且搜索范围由远处向近处转移;车辆沿曲率缓和的道路行驶时,交通流出现对驾驶人注意力分配的影响较小,而在转弯或换道时,交通流出现会对驾驶人注意力分配产生较大影响。 To investigate the attention allocation features of drivers,eye movement data were collected by driving simulator,fixation time and searching scope of visual information were used to express the mode of driver’s attention allocation.Based on these data,driver’s attention allocation was investigated under different driving behaviors,and the influence of traffic flow coming from different directions was examined.The results show that drivers always give enough attention to information far ahead.Under the free flow condition,drivers decrease their concerns on the information far ahead but increase their concerns on turning side.At the same time,drivers transfer their concerns from distant region to near region.The traffic flow has less impact on driver’s attention allocation mode while driving along road with small curvature,and it has greater impact on driver’s attention mode while turning or changing lanes.
作者 薛志超 巩渭华 杨波 徐全鹏 张立朋 石磊 范艳辉 任园园 XUE Zhichao;GONG Weihua;YANG Bo;XU Quanpeng;ZHANG Lipeng;SHI Lei;FAN Yanhui;REN Yuanyuan(Qilu Transportation Development Group,Jinan 250102,China;Qinglin Branch Company,Qilu Transportation Development Group,Weifang 262517,China;Northern Traffic Engineering Consulting Supervision Co.,Ltd.,Shandong Jiaotong University,Jinan 250023,China;School of Transportation and Logistics Engineering,Shandong Jiaotong University,Jinan 250023,China;School of Transportation,Jilin University,Changchun 130025,China)
出处 《济南大学学报(自然科学版)》 CAS 北大核心 2018年第6期469-475,共7页 Journal of University of Jinan(Science and Technology)
基金 山东省优秀中青年科学家科研奖励基金项目(BS2011SF014) 山东省高等学校科技计划项目(J11LG17) 齐鲁交通发展集团科技项目
关键词 交通运输安全工程 驾驶行为 视觉信息 注意力分配 transportation safety engineering driving behavior visual information attention allocation
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