Bicycle traffic has a significant effect on the capacity of signalized intersections. This paper divides the influence of bicyclists on vehicular flow into four types with the time durations estimated based on prob-ability, shock wave, and gap acceptance theory. Vehicular saturation flow rate is predicted for various condi-tions on the basis of the speed-flow curve for the capacity of typical intersections influenced by bicycle traffic. The model overcomes the limitations of the Highway Capacity Manual (HCM, 2000) method for left-turns due to data collection, and takes into account the effect of trapped bicycles on the through vehicular traffic. The numerical results show that the left-turn and through capacities predicted by the model are lower than those of the HCM method. The right-turn capacity is close to that of the HCM method at low bicycle volumes and higher than that of the HCM method at high bicycle volumes. Bicycle paper has a significant effect on the capacity of signalized intersections. This paper divides the influence of bicyclists on vehicular flow into four types with the time durations estimated based on prob-ability, shock wave, and gap acceptance theory. predicted for various condi-tions on the basis of the speed-flow curve for the capacity of typical intersections influenced by bicycle traffic. The model overcomes the limitations of the Highway Capacity Manual (HCM, 2000) method for left-turns due to data collection , and takes into account the effect of trapped bicycles on the through vehicular traffic. The numerical results show that the left-turn and through- ablepredicted by the model are lower than those of the HCM method. The right-turn capacity is close to that of the HCM method at low bicycle volumes and higher than that of the HCM method at high bicycle volumes.