Method and device for predicting speed limit information, computer equipment and medium

Abstract

The invention provides a method for predicting speed limit information; the method comprises the steps: obtaining a plurality of traffic tracks in a first preset time period, wherein each traffic track comprises a plurality of track points, and each track point is provided with position information and speed information; then, for each traffic trajectory, determining the deceleration behavior data for the traffic trajectory based on position information and speed information for a plurality of trajectory points of the traffic trajectory; based on the respective speed reduction behavior data of the plurality of traffic tracks, determining a candidate position area, and determining features of the candidate position area; and inputting the features of the candidate position area into a target classification model, and predicting the speed limit information of the candidate position area through the target classification model. The invention further provides a speed limit information prediction device, computer equipment and a medium.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and more specifically, to a method, device, computer equipment and media for predicting speed limit information. Background technique [0002] As an important safety measure of traffic management, road speed limit plays an important role in traffic safety management and urban traffic planning. [0003] At present, the acquisition of road speed limit information at home and abroad is mainly based on image recognition technology to identify and extract the speed limit signs set on the road. For example, for the identification and extraction of road images obtained through panorama acquisition, and for the identification and extraction of road images acquired through satellites, etc. Or the current speed limit information of each road and each location can be obtained through the user's artificial feedback. [0004] However, the above methods all have problems such as high update cost, ...

AI Technical Summary

Problems solved by technology

[0004] However, the above methods all have problems such as high update cost, long update cycle, poor accuracy, and certain lag, which do not meet the temporal and spatial variability of road speed limit information, and are difficult to effectively meet the actual application requirements of road speed limit information.

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