Abstract: In order to study the quantitative influence of driver's behavior on road traffic, the cellular automaton dynamic model with influences on drivers (IDCA) is proposed based on the NaSch model in this paper for the characteristics of the driver's behavior. The improved model combines field force and graph theory to simulate road traffic flow. According to the driver's behavior characteristics, these factors are considered in the model, such as the direct physical and indirect psychological effects on driver, relative speed and vehicle characteristic. The influences of driver types and vehicle flow evolution mechanism on traffic flow are studied based on the model through computer numerical simulation. The simulation results show that the IDCA model can simulate abundant traffic behaviors better than the NaSch model, which reappears synchronous flow and other complex traffic phenomena. Traffic flows have better stability and higher dissolving congestion efficiency in the IDCA model through the analysis of the fluctuation of vehicles' speed and the vehicles' headway-distance. In addition, by using the computer numerical simulation of the IDCA model, the density-velocity and density-flow diagrams of the mixed traffic flow composed of different driver types are obtained. The conclusions are obtained: the larger the proportion of aggressive drivers, the larger the vehicle speed and traffic flow under the same road medium density and high density, and traffic flow decreases with the increase of the proportion of conservative drivers. The phenomenon of high speed car-following is simulated at last. The result of the rate of high speed car-following in the small headway areas more than 7% is obtained, which is consistent with the measured results.