To better describe mixed traffic flow, we built a new CA (cellular automation) model based on the OV model, which considered space headway and velocity of a followed car. Time-varying anticipated safe distance was used in the improved OV model instead of fixed safe distance in the NaSch traffic model. Vehicle performance and mixing proportions were taken into account to investigate the parameters of traffic characteristics such as traffic volume, average velocity, and so on. The simulation results show that the improved CA model can give a better description of the phenomena observed in real traffic. Traffic volume and average velocity of the mixed traffic flow on a single lane all depend on cars with low maximum velocity. Randomization deceleration probability is an important parameter influencing traffic flow state.
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