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为提高交通诱导信息的诱导效率,系统研究信息结构化对驾驶决策的影响机理,引入云模型构建交通诱导信息评价体系,通过全功能汽车模拟驾驶器仿真实验,设计4种交通诱导信息环境并进行了交通诱导信息环境下的路径选择实验,在此基础上分析不同信息结构组合下的交通诱导信息对驾驶决策的影响特征,提出了交通诱导信息发布策略的优化方案.研究结果表明:数字类信息、语言类信息、图像类信息组合而成的交通诱导信息对驾驶决策影响显著,语言类信息与数字类信息组合发布的交通诱导信息有利于驾驶员认知道路环境,数字类信息与图像类信息组合发布有利于驾驶员进行路径决策.“,”In order to improve the induction efficiency of the guidance information and reveal the effect of the structured information on the driving decision-making,a traffic guidance information evaluation system is built by introducing a cloud model,and by a simulation in a full-featured car driving simulator,four kinds of traffic guidance information environment are designed to conduct route choice experiments.Then,the effect of the traffic guidance information with different combinations of structured information on the driving decision-making is analyzed,and an optimization scheme of the traffic guidance information release strategy is proposed.The results show that the traffic guidance information including the digital information,the language information and the image information has a significant effect on the driving decision-making.Specifically,a combination of the language information and the digital information is beneficial for drivers to perceive the road environment,and a combination of the digital information and the image information is beneficial to the route decision of drivers.