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Attention Characteristics of Drivers under Risky Traffic Situations

机译:风险交通情况下司机的注意特征

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This paper aims to study the attention characteristics of drivers under the multiple risky traffic situations. Based on correlation analyses of drivers' attributes, risk attributes, and drivers' attention characteristics, drivers' multiple risky gravity integrated model is constructed to measure the attention degrees. By simulating driving experiment, it studies on drivers' fixation time to risk, the impact of running speed, and distance on drivers' risky gravity and analyzes the relationship between risky gravity and drivers' attention characteristics under multiple risky traffic situations. The result shows significant difference of risky gravity between experienced and inexperienced drivers under multiple situations. Risky gravity of inexperienced drivers is significantly greater than that of experienced drivers. By analyzing the impact of running speed on drivers' risky gravity, it shows that the higher running speed, the greater risky gravity, the more attention demanded, thus running speed has a bigger impact on traffic safety.
机译:本文旨在研究在多重危险交通状况驾驶员的注意力特性。基于驱动器的相关性分析属性,风险属性,以及司机的注意力特性,驾驶多种风险重力集成模型构造来衡量的关注度。通过模拟驾驶实验,对司机学习固定时间风险,运行速度的影响,和距离司机的风险重力和分析风险的严重性和在多个危险交通状况司机的注意力特性之间的关系。结果表明:在多种情况经验和没有经验的驱动程序之间的风险重力显著差异。缺乏经验的司机风险比重比经验丰富的司机的显著更大。通过分析运行在司机的风险重力速度的影响,它显示了较高的运行速度,更大的风险比重,更注重的要求,因此运行速度对行车安全产生更大的影响。

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