Cell transmission models (CTM) can efficiently simulate traffic hydrodynamics under various traffic conditions. The conventional CTM was designed for pure traffic. Incorporation of more realistic CTM rules into the simulation of mixed traffic on urban streets is comparatively less addressed. Based on this, this study proposes mixed traffic cell transmission models (MCTM) to replicate the behaviors of mixed traffic consisting of cars and motorcycles. Both types of vehicles exhibit rather different traffic behaviors in competing for roadway capacity and remaining storage space. Thus, MCTM should be dynamically adjusted and allocated between cars and motorcycles according to the ratio of vehicles types and traffic phases-Free flow; synchronized, and congested. Based on the field observations, two MCTM models are developed. The first MCTM model uses the ratio of car to motorcycle in the last upstream cell to determine the amount of roadway resources allocated to cars, and vice versa f or motorcycles. The second MCTM model further incorporates an entropy index to adjust the traffic speed. To validate the proposed MCTM models, videotapped traffic data in Taipei city covering a full traffic spectrum from free-flow to congested are collected. The results show that both of the proposed MCTM models can accurately simulate the traffic flows under various traffic phases and mixture ratios with an average MAPE (Mean Absolute Percentage Error) below 30%.