李洋, 赵晓华, 何庆, 黄利华, 荣建. 立交桥图形指路标志视认复杂程度综合评价方法[J]. 北京工业大学学报, 2019, 45(4): 366-374. DOI: 10.11936/bjutxb2017120013
    引用本文: 李洋, 赵晓华, 何庆, 黄利华, 荣建. 立交桥图形指路标志视认复杂程度综合评价方法[J]. 北京工业大学学报, 2019, 45(4): 366-374. DOI: 10.11936/bjutxb2017120013
    LI Yang, ZHAO Xiaohua, HE Qing, HUANG Lihua, RONG Jian. Comprehensive Evaluation Method of Recognition Complexity of Interchange Diagrammatic Guide Signs[J]. Journal of Beijing University of Technology, 2019, 45(4): 366-374. DOI: 10.11936/bjutxb2017120013
    Citation: LI Yang, ZHAO Xiaohua, HE Qing, HUANG Lihua, RONG Jian. Comprehensive Evaluation Method of Recognition Complexity of Interchange Diagrammatic Guide Signs[J]. Journal of Beijing University of Technology, 2019, 45(4): 366-374. DOI: 10.11936/bjutxb2017120013

    立交桥图形指路标志视认复杂程度综合评价方法

    Comprehensive Evaluation Method of Recognition Complexity of Interchange Diagrammatic Guide Signs

    • 摘要: 为了研究驾驶员对立交桥图形指路标志的理解水平,规范使用各类立交桥示意图形,改善道路交通安全环境,提出基于因子分析的立交桥图形指路标志视认复杂程度综合评价方法.视认实验对目前常见的37种立交桥示意图形在整体、局部及细节3个层面的视认复杂程度进行测试.测试结果表明,37种图形在整体、局部及细节层面的视认绩效都存在显著差异性,存在一定的不一致性.为实现立交桥图形复杂程度的综合量化评估,选取整体视认时间、整体主观评价打分、局部3个方向图形信息读取时间的平均值和最高值、出口操作选择错误人数比率、路径选择的错误人数比率以及细节视认风险点数量7个评估指标,采用因子分析方法,建立综合评分模型.分析结果表明:图形视认复杂程度综合评分为-1.366~2.046,在一定程度上与视认规律假设相吻合;从分布规律上看,图形视认复杂度与图形特点、要素表达方式、使用程度等存在一定的关联关系.

       

      Abstract: To study the driver's understanding of diagrammatic guide signs for interchange, standardize the utility of various graphics, and improve the road traffic environment, a method based on factor analysis was proposed for comprehensively assessing cognition complexity of interchange diagrammatic guide sign. A cognition test, which 37 graphs were designed and three different levels (entire, portion and details of graphs) were covered, was conducted to study the cognition complexity. Data shows that the 37 graphs differ substantially in cognition performance from the three levels. It also depicts that the inconsistency exists in the three levels of visual cognition performance. Seven categories of data, including general graph legibility time, subjective assessment scores, average and maximum value of information read time in three directions, percentage of participants who selected the wrong exit operation and the wrong path, and quantity of risk points, were calculated for composite quantitative assessment by factor analysis technique. The analytical results indicate that the composite scores of graph cognition complexity degree ranges from -1.366 to 2.046, in terms of distribution pattern, and the complexity degree is related to graph features to some degree, as well as element expression mode and utilization degree. The research findings not only can offer a theoretical approach to quantitative evaluation of the complexity and effectiveness of guide signs at interchange, but also provide references for the design and installation of diagrammatic guide signs at interchanges.

       

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