为探讨雾天高速公路车路协同系统信息介入对驾驶人视觉信息加工模式的影响，首先，依托驾驶模拟平台设计了车路协同环境下的雾天高速公路驾驶模拟实验，获取驾驶人的视觉行为参数; 其次，将前方道路定义为关键兴趣区域，分别提取驾驶人在全局水平及兴趣区域的注视、扫视等显性视觉特性指标，并分析其分布规律; 最后，采用因子分析方法获取信息提取因子、感知密度因子及信息搜索因子共 3 个公因子，以表征雾天高速公路车路协同系统作用下驾驶人的视觉信息加工模式。结果表明，车路协同系统的应用会显著影响驾驶人的扫视行为及对前方道路的视觉资源分配，多元信息的介入改变了原有的信息分布，使驾驶员的信息提取效率提高，信息感知密度降低，信息搜索效率提高。文中研究结果可为车路协同系统人机交互终端的设计及安全应用提供理论参考和技术保障。

The aim of this paper is to explore the influence of the cooperative vehicle-infrastructure system in foggy highway on the driver's visual information processing mode． Firstly，based on the driving simulation platform，a cooperative vehicle-infrastructure system in foggy highway ( CVIS-HF) was designed to obtain the driver's visual behavior parameters． Next，the road ahead was defined as area of interest，and the driver's fixation，saccade and other explicit visual behavior indexes at the global level and area of interest were extracted and analyzed． Finally，three common factors，information extraction factor，perceptual density factor and information search，were obtained by using factor analysis method to characterize the driver's visual information processing mode under the effect of CVIS-HF． The results show that the application of CVIS-HF significantly affects the driver's scanning behavior and the allocation of visual resources for the road ahead． The original information distribution is changed by the intervention of cooperative vehicle-infrastructure system information，which improves the efficiency of information extraction and information search，but reduces the perceptual information density． The research results can provide theoretical reference and technical support for the design and safety application of human machine interface ( HMI) in cooperative vehicle-infrastructure system．