Fog　is　a　critical　risk　of　river-crossing　bridges.　Setting　a　reasonable　speed　limit　is　essential　to　ensure　safe　operation　when　driving　on　river-crossing　bridges　in　foggy　conditions.　According　to　the　existing　variable　speed　limit　(VSL)　strategy,　this　study　takes　the　E＇dong　Yangtze　River　Bridge　in　China　as　an　example　to　conduct　driving　simulation　experiments　and　clarify　the　influencing　factors　of　the　car-following　process　for　a　foggy　bridge　under　different　speed　limit　conditions.　Based　on　human　factors,　this　paper　uses　the　generalized　linear　mixed　model　(GLMM)　to　quantify　the　impact　of　different　speed　limit　strategies　and　driver　attributes　on　the　car-following　process　of　foggy　bridges,　considering　the　random　effect　caused　by　driver　heterogeneity.　The　indicators　related　to　operation　characteristics　(represented　by　longitudinal　fluctuation　and　vehicle＇s　compliance)　and　car-following　behaviors　are　selected　to　evaluate　the　car-following　performance.　The　results　reveal　the　following　five　findings:　(1)　Speed　limit　strategies　and　driver　attributes　significantly　affect　the　car-following　process,　thereby　changing　operation　characteristics　and　car-following　behaviors.　Their　impacts　on　the　car-following　behaviors　are　more　significant　than　that　on　the　operation　characteristics.　(2)　A　low-speed　limit　can　significantly　improve　drivers＇　car-following　behaviors　and　better　meet　the　visual　needs　of　the　leading　vehicle,　which　is　conducive　to　improving　safety.　(3)　Males　have　a　lower　visual　need　for　the　leading　vehicle　during　following　and　are　less　sensitive　to　the　distance　between　vehicles.　(4)　Professional　drivers　can　more　comfortably　adjust　the　car-following　state　according　to　the　leading　vehicle.　(5)　If　the　speed　limit　is　high,　drivers　often　tend　to　sacrifice　the　visual　need　of　the　leading　vehicle　in　exchange　for　a　larger　distance　to　ensure　safety.　This　study　contributes　to　optimizing　the　VSL　strategy　for　foggy　bridges　and　providing　management　departments　with　a　foundation　to　implement　more　effective　speed　limits　to　reduce　driving　risks.　©　2025　American　Society　of　Civil　Engineers.