Abstract: The concept of multi-classifier fusion was introduced which can improve the classification accuracy and overcome the disadvantage of single classifier. DS theory was introduced into decision module of traffic classification and preference and timeliness was proposed. After analyzing multi-classifier model by simulation, the results show the new classifier model can overcome one sidedness of single classifier, depending on multiple evidences to optimize the traffic results.