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.　©　2021,　Editorial　Department,　Journal　of　South　China　University　of　Technology.　All　right　reserved.