Less the traffic image features were considered in the existing defogging algorithms. Defogging quality and real-time performance are poor if they are directly applied to defog. Having analyzed the traffic image features, a fast traffic image defogging algorithm was proposed based on image segmentation technique. Firstly, an improved mean shift algorithm was used to segment sky region. Then atmospheric light intensity was accurately estimated in the sky region. Finally the improved dark channel prior (DCP) algorithm based on bilateral filter was used to defog to the traffic image, and post-processing was done to these defogging image by using fogging image features to enhance the defogging quality. The experimental results demonstrate that the proposed algorithm has higher real-time performance and can obtain better defogging quality. The overall performance of the proposed algorithm is better than that of existing similar algorithm in defogging for traffic images.