Economic loss estimation of road traffic accidents considering grey situation decision

Due to the problem of poor data integrity in the estimation of economic loss in road traffic accidents, the estimation accuracy is not high. In order to effectively improve the performance of economic loss estimation of road traffic accidents, a method of economic loss estimation of road traffic accidents considering grey situation decision is proposed. Based on the grey situation decision theory, the key indicators of economic loss in road traffic accidents are identified, and a comprehensive and complete evaluation index system of economic loss in road traffic accidents is constructed based on the identification results. Then, according to the index system, the economic loss model of road traffic accident personnel and the indirect economic loss model of traffic accidents are constructed to fully estimate the economic loss of road traffic accidents, effectively solve the problem of poor data integrity, and achieve accurate economic loss estimation of road traffic accidents. The experimental results show that the estimation accuracy of the proposed method is always higher than 90%, which can evaluate the economic loss caused by traffic accidents more comprehensively and deeply, and provide decision support for the prevention and compensation of traffic accidents.