This　paper　describes　a　novel　technique　to　analyze　newly　available　Vehicle　Traveling　Data　Recorder　(VTDR)　data　from　Passenger　Transport　Company.　To　help　us　be　more　conducive　to　study,　we　preprocessed　the　VTDR　data　firstly.　1)　Algorithm　that　detects　highway　range　in　the　VTDR　data　is　proposed.　2)　We　transformed　VTDR　data　from　their　original　Time　based　Speed　Series　(TSS)　to　Location　based　Speed　Series　(LSS),　which　makes　a　link　between　road　location　and　speed.　3)　Then,　we　applied　a　self-training　technique　to　distinguish　two　route　directions　of　the　VTDR　data.　After　preprocessing,　we　extracted　general　speed　pattern　from　the　VTDR　data.　This　information　greatly　improves　our　understanding　on　the　road　traffic　influence　to　speed.　In　addiction,　based　on　this,　novel　driver　behavior　analysis　and　outlier　analysis　are　given.　The　technique　introduced　in　this　paper　utilizes　the　huge　amount　of　VTDR　data　to　extract　useful　information,　so　that　enhances　transportation　safety　management.　©　2008　IEEE.