Urban　expressway　weaving　sections　suffer　from　a　high　crash　risk　in　urban　transportation　systems.　Studying　driving　behavior　is　an　important　approach　to　solve　safety　and　efficiency　issues　at　expressway　weaving　sections.　This　study　aimed　to　investigate　the　influence　of　drivers＇　individual　differences　on　diverging　behavior　at　expressway　weaving　sections.　First,　a　k-means　cluster　analysis　of　650　questionnaires　was　performed,　to　classify　drivers　into　three　categories:　aggressive,　conservative　and　normal.　Then,　the　driving　behavior　of　45　drivers　from　the　three　categories　was　recorded　in　a　driving　simulator　and　analyzed　by　an　analysis　of　variance.　The　results　show　that　different　types　of　drivers　have　different　driving　behaviors　at　weaving　sections.　Aggressive　drivers　have　a　higher　mean　speed　and　mean　longitudinal　deceleration,　followed　by　normal　and　conservative　drivers.　Significant　differences　in　the　range　of　lane-change　positions　were　found　between　100,　150　and　200　m　of　weaving　length　for　the　same　type　of　drivers,　and　the　duration　of　weaving　for　aggressive　drivers　was　significantly　smaller　than　for　normal　and　conservative　drivers.　A　significant　correlation　was　found　between　lane-change　position　and　weaving　duration.　These　results　can　help　traffic　engineers　to　propose　effective　control　strategies　for　different　types　of　drivers,　to　improve　the　safety　of　weaving　sections.