Abstract
This paper applies grey theory to predict high-efficiency overtaking in order to achieve effective overtaking prediction. Through the monitoring of overtaking data by electronic police, effective control of road network security is achieved. This model has a certain warning effect on the occurrence of large-scale overtaking, and has a certain guiding significance for the management and control of the road network and the elimination of hidden dangers. The overtaking phenomenon of the road network is affected by many factors and has the characteristics of high noise and multiple disturbances. Applying the GM (1,1) model in the gray system can effectively resist shock disturbance traps. According to the characteristics of high-efficiency overtaking data, small data is used for real-time modeling, and the model will constantly change according to time. This article uses GM (1,1) modeling, which has good performance in small data and high noise modeling, in order to achieve early warning of road overtaking control.
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