A cellular automaton model is proposed to study the traffic at signalized intersection. The driving behaviors induced by drivers attribution (gender, driving experience, character, etc.) are numerically analyzed. Simulation results show that the rusty driving skills or tension driving, impatient driving and so on can lead to the transition from free flow to congestion more easily, and these behaviors are the important cause for low travel efficiency at the intersection; the signal cycle is the main factor influencing traffic flux and travel time fairness.