Abstract: 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．

Key words: cooperative vehicle-infrastructure system, simulated driving, fog warning, visual information processing