Due　to　differences　in　driving　skills　and　personal　characteristics　among　drivers,　the　behaviors　of　drivers　when　faced　with　various　driving　environments　differ,　causing　different　levels　of　driving　safety　concerns.　In　past　research,　the　measurement　of　safety-related　driving　behavior　mostly　focused　on　classification,　while　few　studies　were　concerned　with　individual　driving　behavior　characteristics.　However,　it　is　important　for　drivers　to　recognize　and　correct　their　dangerous　behaviors　and　optimize　their　driving.　This　paper　presents　a　graphical　method　for　modeling　individual　driving　behaviors,　and　the　results　can　be　used　in　driving　safety　analysis.　Based　on　the　assumption　that　drivers　have　specific　driving　habits,　typical　driving　patterns　during　driving　are　first　detected　and　extracted.　These　typical　driving　patterns　are　then　sorted　according　to　their　frequencies,　forming　a　driving　behavior　graph　that　can　directly　illustrate　each　driver＇s　behavior　features.　Furthermore,　a　quantitative　analysis　method　for　evaluating　driving　safety　based　on　the　behavior　graph　is　provided.　To　verify　the　proposed　method,　a　case　study　focusing　on　vehicles＇　longitudinal　motion　was　conducted　using　GPS　data　collected　from　Beijing　taxis.　The　results　demonstrated　that　the　graphical　method　can　describe　the　individual　features　of　a　driver＇s　longitudinal　acceleration　behavior　and　distinguish　differences　among　drivers.　The　development　of　this　method　can　help　understand　the　individual　features　of　driving　behaviors　and　further　support　measures　to　optimize　driving　safety.　(C)　2019　Published　by　Elsevier　Ltd.