A　station　ID　match　method　based　on　characteristic　stations　is　developed　in　this　approach.　According　to　the　trade　time　interval　calculation,　the　k-means　clustering　algorithm　is　used　to　gather　the　trade　records　which　occur　in　the　same　stations.　The　characteristic　stations　including　maximum　passenger　volume　station　and　transfer　station　are　confirmed　by　analyzing　the　history　IC　data.　The　characteristic　stations　have　priority　in　station　ID　match　to　achieve　the　higher　accuracy.　For　comparison,　the　method　based　on　link　travel　time　match　is　used　in　data　experiment,　and　the　results　shows　the　accuracy　of　characteristic　stations　achieves　to　85%.