To solve the problem that the overall traffic efficiency between adjacent intersections is difficult to be further improved due to the conflict of the optimal traffic efficiency between adjacent intersections in self-organizing control under urban traffic signals, a tuning method for parameters of self-organizing control rules under urban cellular network was proposed. First, the urban road network cell transmission model (CTM) was adopted to simulate the dynamic state information of the traffic flow on the road network. Then, based on the real-time information from CTM, the self-organizing control rule parameters of each intersection cell in the selected local road network were obtained for design space. Lastly, with the goal of maximizing traffic volume under the coordination of each intersection, the tuning of the self-organizing control rules of each intersection was completed. Simulation results show that under real-time information conditions, the tuning method based on urban cellular road network can not only solve the problem of the restriction of the traffic efficiency between local self-organized control intersections, but also effectively improve the traffic efficiency of the self-organizing adjacent intersections. The method provides an intelligent approach and an engineering theory for real-time urban traffic signal self-organizing control system in complex urban road network.