Geographic　routing　protocols　are　one　of　the　most　hot　research　areas　in　VANET　(Vehicular　Ad-hoc　Network).　However,　there　are　few　routing　protocols　can　take　both　the　transmission　efficient　and　the　usage　of　ratio　into　account.　As　we　have　noticed,　different　messages　in　VANET　may　ask　different　quality　of　service.　So　we　raised　a　Native　Bayesian　Classifier　based　routing　protocol　(Naive　Bayesian　Classifier-Greedy,　NBC-Greedy),　which　can　classify　and　transmit　different　messages　by　its　emergency　degree.　As　a　result,　we　can　balance　the　transmission　efficient　and　the　usage　of　ratio　with　this　protocol.　Based　on　Matlab　simulation,　we　can　draw　a　conclusion　that　NBC-Greedy　is　more　efficient　and　stable　than　LR-Greedy　and　GPSR.