The　signalized　traffic　is　considerably　complex　due　to　the　fact　that　various　driving　behaviors　have　emerged　to　respond　to　traffic　signals.　However,　the　existing　cellular　automaton　models　take　the　signal-vehicle　interactions　into　account　inadequately,　resulting　in　a　potential　risk　that　vehicular　traffic　flow　dynamics　may　not　be　completely　explored.　To　remedy　this　defect,　this　paper　proposes　a　more　realistic　cellular　automaton　model　by　incorporating　a　number　of　the　driving　behaviors　typically　observed　when　the　vehicles　are　approaching　a　traffic　light.　In　particular,　the　anticipatory　behavior　proposed　in　this　paper　is　realized　with　a　perception　factor　designed　by　considering　the　vehicle　speed　implicitly　and　the　gap　to　its　preceding　vehicle　explicitly.　Numerical　simulations　have　been　performed　based　on　a　signal　controlled　road　which　is　partitioned　into　three　sections　according　to　the　different　reactions　of　drivers.　The　effects　of　microscopic　driving　behaviors　on　Kerner＇s　time-delayed　traffic　breakdown　at　signal　(Kerner　2011,　2013)　have　been　investigated　with　the　assistance　of　spatiotemporal　pattern　and　trajectory　analysis.　Furthermore,　the　contributions　of　the　driving　behaviors　on　the　traffic　breakdown　have　been　statistically　examined.　Finally,　with　the　activation　of　the　anticipatory　behavior,　the　influences　of　the　other　driving　behaviors　on　the　formation　of　platoon　have　been　investigated　in　terms　of　the　number　of　platoons,　the　averaged　platoon　size,　and　the　averaged　flow　rate.　(C)　2016　Published　by　Elsevier　B.V.