Driver　response　to　variable　message　signs＇　recommendation　is　analyzed.　Each　driver　has　two　strategies:　accepting　the　recommendation　or　refusing　the　recommendation.　A　decision　making　model　of　strategy　selection　of　drivers　is　proposed.　The　process　by　which　the　proportion　of　strategies　changed　in　the　population　over　time　is　studied　using　evolutionary　game　theory.　The　stable　states　and　stable　strategy　are　analyzed.　The　results　show　that　the　proportion　of　drivers　accepting　the　recommendation　will　converge　to　100%　over　time　if　and　only　if　the　driver＇s　payoff　of　accepting　the　recommendation　is　larger　than　the　payoff　of　refusing　recommendation.　For　VMS　strategies,　it　is　necessary　that　driver＇s　payoff　of　accepting　the　recommendation　should　be　strictly　larger　than　the　payoff　of　refusing　recommendation　and　the　difference　of　the　two　payoffs　should　be　as　large　as　possible.　Meanwhile,　VMS　should　make　a　positive　impression　on　them　when　drivers　use　the　VMS　recommendation　at　the　first　time.　These　provide　decision　support　for　VMS　strategy　making.