The present invention relates to the field of artificial intelligence. Provided are a road section characteristic model training method and apparatus, and a computer device (90) and a storage medium. The road section characteristic model training method comprises: acquiring first monitoring data and second monitoring data of two sides of a target road section, wherein both the first monitoring data and the second monitoring data comprise license plate information (S1); calculating, according to the first monitoring data and the second monitoring data, a passing time of a vehicle within a pre-set time period, and determining both the passing time and the license plate information to be vehicle passing data (S2); pre-processing the vehicle passing data to obtain a graph data structure (S3); processing the graph data structure by means of a pre-trained graph convolutional neural network model to obtain a training sample (S4); and training long-term and short-term neural networks by means of the training sample to obtain a target road section characteristic model (S5). A graph data structure is processed, and the accuracy of identification of a target road section characteristic model is improved.
ROAD SECTION CHARACTERISTIC MODEL TRAINING METHOD AND APPARATUS, AND COMPUTER DEVICE AND STORAGE MEDIUM