The invention relates to the technical field of
data analysis, particularly provides a vehicle high-speed
toll evasion credit scoring method based on a
large model and a controller, and aims to solve the problem of how to
score the
toll evasion credit of a high-speed vehicle. In order to achieve the purpose, the method provided by the invention comprises the steps of obtaining historical high-speed driving data of at least one target vehicle; determining the high-speed
toll evasion probability of each target vehicle according to the historical high-speed driving data of each target vehicle and a pre-trained high-speed toll evasion probability prediction model, wherein the high-speed toll evasion probability prediction model is a
large model obtained by training based on an integrated
algorithm; and determining a credit
score of the target vehicle according to the high-speed toll evasion probability. According to the invention, high-speed toll evasion probability prediction and credit scoring can be carried out on a plurality of target vehicles, the prediction precision of vehicle high-speed toll evasion is improved, bad toll evasion behaviors can be effectively standardized, the
toll road network environment is purified, a more accurate vehicle toll evasion
verification basis is provided for high-speed workers, and the working efficiency of the high-speed workers is improved.