This paper presents an improved genetic algorithm(IGA) and its application to urban traffic flow guidance strategy. By using a vicinity crossover technique and a greedy forward mutation technique, the population diversity is increased, and local search ability is strengthened. The steady-state reproduction is introduced to protect the optimized genetic individuals. Furthermore, the junction delay is introduced to the fitness function. The numerical results show that the improved algorithm has powerful ability of global searching and faster convergence speed.