A traffic control strategy is developed based on stop-time delay of traffic users to assign coordination between bicycles and motor vehicles by a fair distribution of stop-time delay in a complex urban area. To reach this goal, we implement a hierarchical coordination process for finding the optimal coordination interval in which the delay and number of stops of the whole network is minimized. Here, the coordination interval refers to the interval length in second required to evaluate the performance of the network as well as to implement the coordination. Therefore, different interval lengths are selected by integer numbers of cycle time and the coordination performance for different traffic users and the network is evaluated. SUMO, an open source microscopic traffic simulation software, is used for the simulation studies. The coordination performance is measured using the average delay and the number of stops. The investigation area is situated in the center of Munich and contains nine signalized intersections with separated bicycle lanes in the main direction. Traffic was added to the simulation network based on observed traffic volumes and turning ratios. The optimum coordination interval is achieved by minimizing the average delay and number of stops of the entire network while at the same time providing a balanced stop-time delay between different types of traffic users. The analysis of the results in the major direction indicates that by using the new algorithm in traffic control strategy, there would be a significant reduction of the delay and number of stops for bicyclists while at the same time, the delay of the entire network is not higher than the one of the current state.