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不同线形诱导信息量下新老驾驶员视觉特性
引用本文:朱守林,韩磊,戚春华,高明星,李航天,吕俊祥.不同线形诱导信息量下新老驾驶员视觉特性[J].科学技术与工程,2020,20(34):14289-14294.
作者姓名:朱守林  韩磊  戚春华  高明星  李航天  吕俊祥
作者单位:内蒙古农业大学能源与交通工程学院,呼和浩特010018;内蒙古农业大学能源与交通工程学院,呼和浩特010018;内蒙古农业大学能源与交通工程学院,呼和浩特010018;内蒙古农业大学能源与交通工程学院,呼和浩特010018;内蒙古农业大学能源与交通工程学院,呼和浩特010018;内蒙古农业大学能源与交通工程学院,呼和浩特010018
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
摘    要:为定量分析新老驾驶员在不同线形诱导信息量的草原公路弯道行车时的视觉特性,建立了5种不同层级线形诱导信息量的草原公路弯道虚拟场景,信息量水平分别为Q0、Q1、Q2、Q3、Q4,并进行了模拟驾驶试验,对驾驶员视野分区,分析不同信息量条件和驾驶熟练程度对驾驶员视觉特性的影响规律。结果表明:熟练驾驶员注视分布区域比非熟练驾驶员更远也更分散,非熟练驾驶员对近距离区域的关注程度远高于熟练驾驶员;非熟练驾驶员行车过程视觉负荷较高,对有效信息的感知和处理能力较弱,视觉搜索策略需要改善;两组驾驶员在Q2条件下的视觉强度特征表现最佳,认知和视觉搜索策略更为灵活;提出表征驾驶员眼动强度的回归模型,并分别求得两组驾驶员受信息量影响的眼动强度回归方程。

关 键 词:草原公路  交通工程设施  信息量  视觉特性  眼动强度
收稿时间:2019/11/16 0:00:00
修稿时间:2019/12/27 0:00:00

Study on visual characteristics of new and old drivers with different linear guidance information volume
zhushoulin.Study on visual characteristics of new and old drivers with different linear guidance information volume[J].Science Technology and Engineering,2020,20(34):14289-14294.
Authors:zhushoulin
Institution:School of energy and transportation engineering, Inner Mongolia Agricultural University
Abstract:To quantitatively analyze the visual characteristics of new and old drivers when driving on grassland roads with different information on linear guidance, five virtual scenes of with different levels of linear guidance information volume were established, the levels of information volume were Q0, Q1, Q2, Q3 and Q4 respectively, and the simulation driving test was carried out, and driver''s visual field was diveded, The influence of different information conditions and driving proficiency on the visual characteristics of drivers was analyzed. The results show that: Skilled drivers'' fixation distribution is farther and more dispersed than unskilled drivers, unskilled drivers pay much more attention to the close-range area than skilled drivers. Unskilled drivers have higher visual load during driving, the ability to perceive and process effective information is weak, and visual search strategies need to be improved. The visual intensity characteristics of the two groups of drivers under Q2 conditions are the best, and the cognitive and visual search strategies are more flexible. A regression model is proposed to characterize the driver''s eye movement intensity, and the eye movement intensity regression equations of the two groups of drivers affected by the information volume are obtained.
Keywords:prairie highway    traffic engineering facilities    information volume        visual characteristics    eye movement intensity
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