Intelligent control of urban traffic signal is an important element of intelligent transportation system. In order to meet the real-time and accuracy for the regional traffic signal coordinated control, this paper presented an Intelligent Control Strategy for Regional Traffic Signal (ICSRTS) based on ε-SVR (Support Vector Regression) nonlinear regression theory. Combining with the existing data aggregation algorithm, ICSRTS was based on the wireless sensor network structure, and it adopted the clustering strategy to create a model of discrete switching system, which integrated the information scheduling and control for the regional traffic system. In the discrete switching system, the network delay and packet loss rate for data transmission were considered, furthermore, the observer used the modified ε-SVR theory to realize the online prediction of the multi-source data based traffic state, then the controller carried out coordination control of the overall traffic signal. The asymptotic stability of discrete switching system was analyzed using Lyapunov function. Simulation results show that ICSRTS has better performance in the intersection average delay time compared with ordinary fuzzy neural control and ordinary ε-SVR prediction algorithm. Therefore, this method can realize the regional traffic signal coordinated control in real-time and effectively, and reduce the area of traffic congestion and energy consumption.