Abnormal driving vehicle identification method and device and computer equipment

Abstract

The invention relates to an abnormal driving vehicle identification method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring a node passing record of a target vehicle, wherein the node passing record is a record generated when the target vehicle passes through at least one road node in a target traffic road; performing path fitting restoration on the node passing record corresponding to the target vehicle to obtain a fitting restoration driving path corresponding to the target vehicle; feature extraction is carried out based on the fitting restoration driving path corresponding to the target vehicle, and path extraction features are obtained; and according to a preset abnormal driving behavior analysis demand, determining an abnormal determination condition for the path extraction feature, and if the path extraction feature satisfies the abnormal determination condition, determining that the target vehicle is an abnormal driving vehicle under the abnormal driving behavior analysis demand. By adopting the method, the data acquisition accuracy of the abnormal driving vehicle can be improved, and the efficiency of judging the abnormal driving vehicle is further improved.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular, to a method, device and computer equipment for identifying an abnormally traveling vehicle. Background technique [0002] With the continuous expansion of the road network scale and the increasingly complex road network forms, the single and total amount of road tolls are increasing rapidly, and abnormal driving behaviors for both passenger and freight use on roads are becoming more and more common, and the abnormal driving behaviors are becoming more and more common. It is becoming more and more difficult to produce evidence, which greatly disrupts the normal operation of normal transportation. [0003] At present, traditional technologies often only use the state of a single node in vehicle traffic to analyze whether the vehicle has abnormal driving behavior. Often due to insufficient information collection and processing, the judgment error rate is high. Therefor...

AI Technical Summary

Problems solved by technology

[0002] With the continuous expansion of the scale of the road network and the increasingly complex shape of the road network, the volume and total amount of road tolls are increasing rapidly, and abnormal driving behaviors on roads, regardless of passenger transport or freight, are becoming more and more common, and the abnormal driving behavior is becoming more and more serious. It is becoming more and more difficult to prove, which greatly disrupts the normal operation of normal transportation

[0003] At present, the traditional technology often only uses the status of a single node in the vehicle to analyze whether the vehicle has abnormal driving behavior. Often due to insufficient information collection and processing, the judgment error rate is high, so the recognition effect of abnormal vehicle behavior is accurate. Low

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