In　this　study,　the　time　track　of　drivers＇　behavior　characteristics　is　visualized　to　explore　the　safetyecological　(SAF-ECO)　characteristics　of　individual　drivers.　This　study　collected　micro-driving　behavior　data　by　the　on-board　diagnostics　(OBD)　unit　and　divided　the　driving　population　into　four　categories　based　on　the　calculation　of　the　＂SAF-ECO＂　index.　In　terms　of　the　elements　of　node　and　time　axis,　a　driving　behavior　characteristic　graph　is　established　based　on　micro　driving　behavior　indicators.　Finally,　the　probability　distribution　is　used　for　further　verification　and　analysis.　The　results　show　that　the　analysis　results　of　driving　behavior　characteristic　graphs　are　consistent　with　the　classification　of　＂SAF-ECO＂.　The　graph　directly　shows　the　changing　process　of　individual　drivers＇　driving　behaviors.　A　reasonable　coupling　characteristic　description　of　SAF-ECO＇　s　driving　behavior　is　conducive　to　the　improvement　of　drivers＇　self-management　ability　and　the　customization　of　drivers.