This　paper　examines　the　travelers＇　day-to-day　route-choice　behavior　with　Advanced　Traveler　Information　Systems　(ATIS)　through　laboratory-like　experimental　method.　Five　groups　of　route-choice　behavior　experiments　are　designed　to　simulate　actual　daily　behavior　of　travelers.　In　the　experiment,　subjects　are　provided　with　different　levels　of　the　complete　road　network　information　to　simulate　the　proportion　of　subjects　equipped　with　ATIS　equipment　(i.e.,　ATIS　market　penetration)　and　choose　the　routes　repeatedly.　The　subject＇s　route-choice　behavior　under　different　proportions　of　complete　road　network　information　is　analyzed,　and　the　strategy　of　releasing　such　complete　information　is　determined　when　the　performance　of　road　network　system　is　the　best.　The　Braess　network　which　consists　of　three　routes　was　used　in　the　experiment　and　analysis.　The　results　show　that　the　fluctuation　of　traffic　flow　runs　through　the　entire　experiments,　but　it　tends　to　converge　to　user　equilibrium.　When　the　market　penetration　is　75%,　both　the　fluctuation　of　traffic　flow　and　the　tendency　of　subjects　to　change　routes　are　the　smallest,　so　the　road　network　system　is　the　most　stable.　This　interesting　result　indicates　that　releasing　traffic　information　to　all　travelers　is　not　the　best.　Other　results　show　that　the　travel　times　of　the　three　routes　in　the　five　groups　of　experiments　tend　to　converge　to　and　finally　fluctuate　around　user-equilibrium　travel　time.　With　the　increase　in　ATIS　market　penetration,　the　average　travel　time　of　subjects　in　each　round　tends　to　increase.　The　overall　trend　of　the　five　groups　of　experiments　is　that　as　the　number　of　route　switches　increases,　the　average　travel　time　increases.　The　results　also　indicate　that　releasing　traffic　information　to　all　travelers　cannot　weaken　the　Braess　Paradox.　On　the　contrary,　the　more　travelers　are　provided　with　traffic　information,　the　less　likely　it　will　weaken　the　Braess　Paradox.