A fire-new two-direction green wave intelligent control strategy was presented to solve the coordinated control problem of urban traffic trunk. The whole control structure was divided into the coordination layer and the control layer. The optimal public cycle time, up-run offset and down-run offset were calculated in the coordination layer, and the splits of each intersection in the trunk were adjusted in the control layer at the end of each cycle. The cycle time was adjusted by one fuzzy neural network arithmetic according to the traffic flow saturation degree of the key intersection in trunk. The offsets were calculated by the up-run speeds or the down-run speeds. The variable splits of each intersection were based on historical and real-time traffic information. The goal of this control strategy was to achieve the zero stop of the up-run or down-run vehicles in the trunk and make the vehicle average delay time less. The factual application results have shown to be very good