Method and device for dynamically acquiring traffic operation state parameters of road vehicles

Abstract

The invention relates to the technical field of image processing and traffic engineering, in particular to a method and device for dynamically acquiring traffic operation state parameters of road vehicles. The method for dynamically acquiring the traffic operation state parameters of the road vehicles comprises the following steps that video data of the vehicles running on roads are dynamically acquired, vehicle outlines in each frame of video images of the video data are extracted, vehicle motion tracks corresponding to the vehicle outlines are determined, first traffic operation state parameters of the vehicles are further determined according to the vehicle motion tracks, and coordinates of the vehicle motion tracks are converted into plane coordinates of the vehicles running on the roads to determine second traffic operation state parameters of the vehicles according to the plane coordinates; and therefore, according to the scheme provided by the method and device for dynamically acquiring the traffic operation state parameters of the road vehicles, the vehicle motion tracks are analyzed through a road traffic image, and various traffic parameters in the vehicle operation stateare obtained through more real-time and accurate means, so that a traffic dynamic simulation model can predict the traffic situation more accurately and in real time according to the parameters, andthe practicability is improved.

Description

technical field [0001] The invention relates to the technical fields of image processing and traffic engineering, in particular to a method and device for dynamically acquiring road vehicle traffic operating state parameters. Background technique [0002] With the increase of road vehicles, the traffic management department needs to dynamically manage the traffic conditions in real time, and can perform prediction or other operations based on the traffic conditions obtained in real time. At present, traffic dynamic simulation models are mainly used to process a large amount of traffic parameter data obtained to predict and monitor traffic conditions. The large amount of traffic parameter data includes vehicle flow, speed, acceleration, and lane change behavior. The existing means of obtaining a large amount of traffic parameter data is mainly to obtain various vehicle data through manual investigation, but this data acquisition method is not real-time, will lag behind for a ...

AI Technical Summary

Problems solved by technology

The existing means of obtaining a large amount of traffic parameter data is mainly to obtain various vehicle data through manual investigation, but this data acquisition method is not real-time, will lag for a period of time, cannot achieve dynamic management, and has low accuracy

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