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Aiming at the problem of urban regional signal timing optimization with non-uniform traffic flow, the regional total capacity and total delay are taken as the optimization goals, and the urban regional traffic signal optimization model based on the target relative dominance strategy is constructed. When the genetic algorithm is used to solve the optimization model, because the genetic algorithm tends to converge prematurely, the optimization effect is not good. Therefore, the golden ratio method is introduced to improve the dual population genetic algorithm, and at the same time, individual migration between the dual populations increases the diversity of the population. To reduce the possibility of the algorithm falling into the local optimum, four standard test functions are used for verification. The experimental results show that the improved algorithm can quickly search for the global optimum solution. Finally, numerical calculations are used to evaluate the effectiveness of the proposed model and algorithm. The results show that the built model meets the actual traffic control goals and the calculation is simple, which verifies the effectiveness of the model; the improved algorithm can be effectively obtained in the urban area road network Good signal timing scheme.