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基于需求和认知的城市交叉口指路标志设计

Demand and cognition-based guide sign design for urban intersections
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摘要 经济圈内不同城市交叉口指路标志设计的差异性,易造成跨区域出行的驾驶员对道路信息认知错误,导致走错路,甚至引发交通事故。通过对比山东省省会经济圈城市交叉口指路标志以及与国标的差异性,开展信息需求实验、信息理解实验和驾驶模拟实验,采集需求度、理解时间、理解率等评价指标,利用因子分析法对指标数据进行综合评价,提出城市交叉口指路标志设计方案。结果表明,不同版面形式的指路标志对驾驶员的视认影响程度不同。对于简单路网,方案8综合效用最高,为0.78;对于复杂路网,方案32综合效用最高,为0.57。两种方案均在国标的基础上增加了当前行驶的路名信息,且版面内道路信息排布形式与实际路网走向一致,文字排布方向能够反映道路方向,更符合驾驶员需求和认知规律。 Differences in the design of way guiding signs for intersections in different cities within the e-conomic circle often cause drivers traveling across the region to misunderstand road information,which could easily lead drivers to take the wrong road and even cause traffic accidents.The design differences of intersection guide sign among cities in the capital economic circle of Shandong Province and with national standard were compared.The static demand experiment,the static understanding experiment and the driving simulation experiment were carried out.And the evaluation indexes such as degree of demand,understanding time and understanding rate were collected.The factor analysis method was used to com-prehensively evaluate the index data,and the design scheme of urban intersection guide signs was pro-posed.The results show that different layouts of guide signs have different effects on drivers′visual recog-nition.Scheme 8 has the highest comprehensive utility of 0.78 for simple road network.For complex road network,the comprehensive utility of scheme 32 is the highest,which is 0.57.Both schemes add the road name of current driving on the basis of the national standard,and the layout of the road information is consistent with the direction of the actual road network.The text arrangement direction reveals the road direction,which is more in line with the driver′s needs and cognitive laws.
作者 李晴晴 张洪宾 孙光辉 张敬磊 LI Qingqing;ZHANG Hongbin;SUN Guanghui;ZHANG Jinglei(School of Transportation and Vehicle Engineering,Shandong University of Technology,Zibo 255049,China)
出处 《山东理工大学学报(自然科学版)》 CAS 2024年第4期27-34,共8页 Journal of Shandong University of Technology:Natural Science Edition
基金 山东省自然科学基金项目(ZR2017LF015)。
关键词 指路标志 因子分析 信息需求 信息认知 驾驶模拟 guide sign factor analysis information needs information cognition driving simulation
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