Research on Road Traffic Accident Judgment Method Based on D-S Evidence Theory

Research on Road Traffic Accident Judgment Method Based on D-S Evidence Theory

With the rapid development of road traffic and the frequent occurrence of traffic accidents, the accurate judgment and efficient handling of traffic accidents can effectively reduce the impact of accidents to reduce the burden on society. In the road traffic accident judgments, the division of responsibilities made by professionals such as traffic police and judges is usually the basis for the judgment. The language irregularities and inaccurate descriptions in traffic accident determination letters make it necessary for multidimensional professionals to make uniform decisions on traffic accident determination results. Meanwhile, due to the uncertainty of professionals in the judgment process, we propose a data fusion method to express and process the uncertain information in order to improve the accuracy of liability judgment. Considering the vagueness of judgments in road traffic accident judgments, we propose a road traffic accident judgment method based on evidence theory. We design a soft classification reliability model based on information entropy and a hard classification reliability model based on the accuracy of the classifier. The method we proposed can effectively solve the problem of classifier results and improve the accuracy of the liability determination of traffic accident documents.