In　urban　traffic,　of　particular　interest　the　traffic　breakdown　which　is　primarily　resulted　from　the　driving　behaviors　is　emerged　to　respond　to　the　traffic　signal.　To　investigate　the　influences　of　driving　behaviors　on　the　traffic　breakdown,　a　cellular　automaton　model　has　been　developed　by　incorporating　a　number　of　driving　behaviors　typically　manifesting　during　the　different　stages　when　the　vehicle　approaching　a　traffic　light.　Numerical　simulations　have　been　performed　based　on　a　road　segment　consisting　of　three　sections　and　each　section　is　associated　with　a　set　of　rules.　The　numerical　simulations　have　demonstrated　that　the　proposed　model　is　capable　of　producing　the　time-delayed　traffic　breakdown　and　the　dissolution　of　the　oversaturated　traffic.　Furthermore,　it　has　been　evidenced　that　the　probability　of　the　traffic　breakdown　can　be　increased　by　involving　the　slow-to-start　behavior.　However,　the　activation　of　the　anticipatory　behavior　can　effectively　impede　the　transition　from　undersaturated　to　oversaturated　traffic.　Finally,　the　contributions　of　the　driving　behaviors　on　the　traffic　breakdown　have　been　quantitatively　examined.