Freeway　driving　in　foggy　conditions　poses　significant　safety　risks　and　accident　hazards.　The　connected　collision　warning　information　system　(CCWIS)　offers　a　novel　approach　to　addressing　this　challenge,　and　its　impact　on　driving　behavior　is　fundamental　to　demonstrating　its　effectiveness.　This　study　employed　driving　simulation　technology　to　create　a　CCWIS　testing　platform.　Considering　dense　fog　weather　conditions,　it　designs　two　driving　environments:　a　baseline　traditional　and　a　comparative　connected.　And　a　typical　collision　risk　scenario　involving　a　sudden　braking　maneuver　by　a　slow-moving　vehicle　ahead　was　constructed.　A　total　of　27　participants　were　recruited　to　conduct　driving　simulation　experiments　to　yield　fine-grained　microscopic　data　on　driving　behavior.　An　evaluation　indicator　system　was　developed　from　multiple　dimensions,　including　stability,　safety,　and　compliance,　to　quantitatively　describe　and　statistically　analyze　the　effectiveness　of　CCWIS　during　different　interaction　stages　with　the　lead　vehicle　(slow-speed　car-following　and　the　frout　vehicle　emergency　braking　stage).　The　results　indicate　that,　regarding　stability,　collision　warning　information　may　lead　to　a　decrease　in　driving　stability　for　a　period　during　the　slow-speed　car-following　stage.　After　the　vehicle　in　the　slow-speed　car-following　stage　has　decelerated　to　a　stable　state　and　during　the　front　vehicle　emergency　braking　stage,　it　exhibits　better　stability　compared　to　scenarios　without　collision　warning　information.　In　terms　of　safety,　collision　warning　information　significantly　reduces　risks　in　terms　of　time,　acceleration,　and　distance　across　multiple　dimensions　during　the　driving　process.　Regarding　compliance,　collision　warning　information　can　improve　the　level　of　driver　compliance　with　preceding　vehicle　information,　reducing　the　differences　in　driver　compliance　with　preceding　vehicle　information　between　the　slow-speed　car-following　and　the　front　vehicle　emergency　braking　stages.　The　results　of　this　study　can　provide　platform　and　theoretical　support　for　the　test　and　application　of　connected　collision　warning　information　systems　in　foggy　environments　of　freeways.　©　2025　South　China　University　of　Technology.　All　rights　reserved.