The　information　preference　of　travelers　under　day-to-day　route　choice　is　dynamical,　also,　different　travelers　have　different　information　preference　on　same　traffic　information.　We　set　up　day-to-day　route　choice　experiment　under　different　traffic　information　release　method.　The　information　preference　factor　is　used　to　represent　the　weight　of　certain　types　of　information　in　the　formation　of　travel　time　forecasts　under　day-to-day　route　choice.　We　study　the　dynamics　and　distribution　of　travelers＇information　preference　and　then　analyze　the　information　preference　changes　under　different　traffic　information　release　method.　Dynamics　of　individual＇information　preference　factor　of　perception　time　have　three　types:　smooth-shock　type,　decline-shock　type,　ascend-shock　type.　The　information　preference　factor　of　perception　time　increase　at　first　and　then　gradually　become　relatively　stable,　but　still　fluctuating.　The　information　preference　factor　of　perception　time　obeys　the　normal　distribution.　Compared　with　condition　only　historical　information　provided,　providing　forecast　information　calculated　by　Exponential　Smoothing　at　the　same　time　can　reduce　information　preference　of　perception　time.　Copyright　©　2017　by　Science　Press.