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Vehicle recognition has become a hotpot in the researches on intelligent traffic management system. In the vehicle identification, using the combination rule of Dempster-Shafer evidence to fuse the collision information, the irregular results will be occurred. A new calculation method of weight coefficient is discussed in this thesis. In this method, the evidence principal elements for each group can be determined by analyzing the principal component of evidence. Then the evidence compatibility and credibility are obtained. Further, the weight coefficient of evidence can be determined through all above parameters.This thesis puts forwards a measure method for conflict of evidence This method can calculate the conflict value, then normalize weight, modify the evidence source. Further, ER evidence is used to identify the target. In the simulation progress, the example of the recognition of the vehicle type on realistic road can be utilized to compare this method with others. It can be proved that this method is more effective than others on fusing the evidence with high conflict and reducing the computational complexity. The accuracy of target recognition is improved by 20%.