DETECTION METHOD FOR TRAFFIC ANOMALY EVENT, APPARATUS, PROGRAM AND MEDIUM

摘要

The present disclosure provides a detection method for a traffic anomaly event, a traffic management and control method, a device, and a medium, which relate to the technical filed of artificial intelligence, specifically, deep learning, intelligent transportation, and computer vision technologies. The detection method comprises: acquiring target traveling parameters of at least some traffic elements in a target traffic scenario corresponding to a target moment; determining a real traveling feature of each traffic element of the at least some traffic elements based on corresponding target traveling parameters; predicting a predictive traveling feature of a target traffic element in the at least some traffic elements based on real traveling features of traffic elements other than the target traffic element in the at least some traffic elements; and determining, based on the real traveling feature of the target traffic element and the predictive traveling feature of the target traffic element, whether an anomaly event for the target traffic element is present at the target moment.